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China Alzheimer Report 2024 WANG Gang, QI Jinlei, LIU Xinya, REN Rujing, LIN Shaohui, HU Yisong, LI Haixia, XIE Xinyi, WANG Jintao, LI Jianping, ZHU Yikang, GAO Mengyi, YANG Junjie, WANG Yiran, JING Yurong, GENG Jieli, ZHI Nan, CAO Wenwei, XU Qun, YU Xiaoping, ZHU Yuan, ZHOU Ying, WANG Lin, GAO Chao, LI Binyin, CHEN Shengdi, YUAN Fang, DOU Ronghua, LIU Xiaoyun, LI Xuena, YIN Yafu, CHANG Yan, XU Gang, XIN Jiawei, ZHONG Yanting, LI Chunbo, WANG Ying, ZHOU Maigeng, CHEN Xiaochun, representing the China Alzheimer's Disease Report Writing Group Journal of Diagnostics Concepts & Practice    2024, 23 (03): 219-256.   DOI: 10.16150/j.1671-2870.2024.03.001 Abstract （15551）   HTML （1125）    PDF（pc） （3389KB）（12487）       Knowledge map    Save With the sustained growth of economy and significant changes in social demographics, the issue of elderly-related diseases has increasingly drawn attention particularly. Alzheimer's disease (AD),as a representative disease of neurodegenerative diseases has become a major challenge, affecting the health and quality of life among the elderly population severely. In recent years, the incidence, prevalence, and mortality rate of AD increase in China, imposing substantial economic burdens on families, society, and the entire healthcare system. To proactively address this challenge and respond to the national 'Healthy China Action' initiative, leading experts from Renji Hospital, Shanghai Jiao Tong University School of Medicine,and Chinese Center for Disease Control and Prevention Chronic Non-communicable Disease Control Center, Fudan University School of Public Health, Shanghai Mental Health Center, Ruijin Hospital,Shanghai Jiao Tong University School of Medicine, Fujian Medical University, and other authoritative institutions, have jointly authored the 'China Alzheimer Disease Report 2024'. Building upon previous editions of 2021, 2022, and 2023, this report updates epidemiological data on AD in China, thoroughly analyzes the latest economic burdens of the disease, and comprehensively evaluates the current status of AD diagnosis and treatment services, as well as the allocation of public health resources in our country. The release of the 'China Alzheimer Disease Report 2024' not only reflects China's progress and efforts in AD research and prevention, but also underscores the social heightened concern for elderly health issues. It aims to provide scientific and technical guidance and robust data support for the prevention, diagnosis, and treatment of AD, offering a professional basis for the government and relevant departments to formulate targeted health policies and intervention measures. Furthermore, it serves as a platform for promoting academic exchanges and cooperation in this field domestically and internationally. Through the dissemination and application of this report, we anticipate it will not only serve as a reference for professionals but also enhance public awareness of AD, promote active participation across various sectors of society, and jointly advance the development of elderly health care in China, empowering us towards achieving 'healthy aging'. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Interpretation on the report of global stroke data 2022 TANG Chunhua, GUO Lu, LI Qiong, ZHANG Lili Journal of Diagnostics Concepts & Practice    2023, 22 (03): 238-246.   DOI: 10.16150/j.1671-2870.2023.03.06 Abstract （7205）   HTML （287）    PDF（pc） （2270KB）（6984）       Knowledge map    Save In 2022, the World Stroke Organization released two new reports regarding global stroke statistics in the International Journal of Stroke. The reports updated the global incidence and mortality of stroke, evaluated the effects of gender and geographic factors, and provided updated statistics on attributable risk factors associated with stroke. This article briefly interprets the two reports in the context of stroke prevalence and disease burden in China. 2019 Global Burden of Disease Study findings show that stroke remains the second-leading cause of death and the third-leading cause of death and disability combined in the world. From 1990 to 2019, the burden (in terms of the absolute number of cases) increased substantially, with the bulk of the global stroke burden residing in lower-income and lower-middle-income countries. Moreover, people under 70-year-old were observed to have significant increases in stroke prevalence and incidence. The five major risks for stroke globally include high systolic blood pressure, high body mass index, high fasting glucose, environmental particulate matter pollution, and smoking. Stroke prevention and treatment in China are facing great challenges. Stroke has become the leading cause of death and disability among Chinese adults, as well as the leading cause of disability adjusted life year lost. The incidence, prevalence and mortality of stroke in China are geographically high in the north, low in the south and prominent in the central part of the country; the prevalence is higher in rural areas than that in urban areas; the morbidity and mortality rates are higher in men than those in women; the average age of onset is lower than in developed countries; the overall disease burden of ischemic stroke is on the rise, but that of hemorrhagic stroke is on the decline. The awareness of stroke prevention and treatment was low. In conclusion, it is of strategic importance to actively establish a graded stroke prevention and control system that meets the national conditions. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Multi-Energy Flow Modeling and Optimization of Electric-Gas-Thermal Integrated Energy System LI Bingjie, YUAN Xiaoyun, SHI Jing, XU Huachi, LUO Zixuan Journal of Shanghai Jiao Tong University    2024, 58 (9): 1297-1308.   DOI: 10.16183/j.cnki.jsjtu.2022.494 Abstract （3507）   HTML （38）    PDF（pc） （8902KB）（512）       Knowledge map    Save In view of the fact that the conversion of various energy forms such as electricity, gas, and heat in the regional integrated energy system (RIES) seriously affects the economy of the system operation, a mathematical model and an optimization model of RIES energy flow are established to improve the economy of the system and the absorption of renewable energy. First, the mathematical models of all kinds of energy conversion equipment in the system are established to determine the constraints of three kinds of energy transmission networks, namely electricity, natural gas, and heat. Then, taking economic operation as the primary objective, and taking into account the objective function of low carbon emissions and increasing the uptake rate of renewable energy, the RIES multi-energy flow optimization model is constructed. Finally, based on the large-scale integrated energy system, the load side demand response is introduced and the simulation model is established. The simulation results show that the introduction of demand response improves the flexibility of system scheduling, reduces the dependence of the system on energy storage equipment, and effectively reduces the energy consumption cost of users. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Phenotypes of chronic obstructive pulmonary disease with preserved ratio impaired spirometry (PRISm) SUN Xianwen, LI Qingyun Journal of Diagnostics Concepts & Practice    2023, 22 (03): 234-237.   DOI: 10.16150/j.1671-2870.2023.03.05 Abstract （3048）   HTML （17）    PDF（pc） （904KB）（1353）       Knowledge map    Save The Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2023 first proposed “Preserved Ratio Impaired Spirometry (PRISm)”, which is the ratio of post-bronchodilator forced expiratory volume in one second to forced vital capacity is normal (FEV1/FVC ≥ 0.7) as pulmonary ventilation function is impaired (post-bronchodilator FEV1% and/ or FVC%<80%. It is particularly necessary to pay attention to the PRISm population with significant FVC deterioration. PRISm was associated with increased incidence of complications and all-cause mortality in the patients with in chronic obstructive pulmonary disease (COPD). In GOLD 2023, it was clarified that PRISm patients should be considered as COPD patients for early screening, standardized treatment, due to their significant clinical symptoms, lung function deterioration, and or abnormal bronchoalveolar structure even if their airway limitation does not meet the criteria for COPD. The cohort studies for large sample, multi-center, long-term follow-up with PRISm in China should be investigated in future. Reference | Related Articles | Metrics | Comments（0）

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Optimal Allocation of Electric-Thermal Hybrid Energy Storage for Seaport Integrated Energy System Considering Carbon Trading Mechanism LIN Sen, WEN Shuli, ZHU Miao, DAI Qun, YAN Lun, ZHAO Yao, YE Huili Journal of Shanghai Jiao Tong University    2024, 58 (9): 1344-1356.   DOI: 10.16183/j.cnki.jsjtu.2022.428 Abstract （2835）   HTML （9）    PDF（pc） （5125KB）（476）       Knowledge map    Save With the continuous increase of electrification in seaports, the single energy supply mode of seaport microgrid is evolving towards multi-energy integration. Aimed to achieve the goals of peak carbon and carbon neutrality, an optimal carbon trading mechanism-based allocation scheme of hybrid electric and thermal storage system is proposed to further maximize the economic and environmental benefits. First, the integrated energy system model of a seaport is established, incorporating a scheme within the carbon trading market. Then, a bi-level optimization framework is proposed, in which the upper layer is utilized to optimize the allocation of the hybrid energy storage system and the lower layer is employed to optimize the operation. Afterwards, a combination algorithm of the mesh adaptive direct search and the adaptive chaotic particle swarm optimization is developed to solve the proposed problem. Finally, the real-world data of Tianjing port is utilized to verify the method. The numerical results demonstrate that with the help of the proposed method, both the cost and carbon emissions are dramatically reduced. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Optimal Reconfiguration Method for Thermoelectric Power Array Based on Artificial Bee Colony Algorithm YANG Bo, HU Yuanweiji, GUO Zhengxun, SHU Hongchun, CAO Pulin, LI Zilin Journal of Shanghai Jiao Tong University    2024, 58 (1): 111-126.   DOI: 10.16183/j.cnki.jsjtu.2022.284 Abstract （2670）   HTML （16）    PDF（pc） （9997KB）（228）       Knowledge map    Save With the rapid development of new energy generation technology, the thermoelectric generation technology (TEG) can make good use of the waste heat generated in new energy generation. However, the change of temperature distribution will worsen the output characteristics and reduce the power generation efficiency of the TEG system. In this paper, a TEG array reconfiguration method based on the artificial bee colony (ABC) algorithm is proposed. In three different temperature distributions, ABC is used for dynamic reconfiguration of symmetric 9×9 and unsymmetric 10×15 TEG arrays. Three meta-heuristic algorithms, the genetic algorithm, the particle swarm optimization algorithm, and the bald eagle search are compared with the proposed method, and the temperature distribution of the TEG array reconfiguration by ABC is given. The results show that ABC can improve the output power of the TEG array, and the output power-voltage curves tend to show a single peak value. In addition, real-time hardware-in-the-loop (HIL) experiment based on the RTLAB platform is undertaken to verify the implementation feasibility. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Two-Stage Day-Ahead and Intra-Day Rolling Optimization Scheduling of Container Integrated Port Energy System ZHOU Siyi, YANG Huanhong, HUANG Wentao, ZHOU Ze, JIAO Wei, YANG Zhenyu Journal of Shanghai Jiao Tong University    2024, 58 (9): 1357-1369.   DOI: 10.16183/j.cnki.jsjtu.2023.016 Abstract （2489）   HTML （10）    PDF（pc） （7518KB）（496）       Knowledge map    Save In view of the fact that the current integrated port energy system (IPES) considers neither the time scale difference of refrigerated containers in port scheduling nor the impact of renewable energy and load uncertainty, this paper proposes a day-ahead and intra-day two-stage rolling optimization scheduling method for a container IPES. In day-ahead scheduling, based on the temperature rise process of refrigerated containers, a port cold chain energy demand model is established, which is combined with the logistics process after the arrival of refrigerated containers. Then, the day-ahead output values of each unit in the system are obtained with the goal of the lowest operating cost. In intra-day scheduling, a two-layer rolling model is proposed to obtain the adjusted output of the port energy equipment, which considers the prediction error of shore power load and renewable energy as well as the different response speeds of cooling, heating and power. The calculation results show that the collaborative optimization scheduling of refrigerated containers and the container IPES can effectively reduce the port operation cost and carbon emissions. The two-stage day-ahead and intra-day rolling optimization scheduling can improve the economy and stability of the system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Improved Transformer-PSO Short-Term Electricity Price Prediction Method Considering Multidimensional Influencing Factors SUN Xin, WANG Simin, XIE Jingdong, JIANG Hailin, WANG Sen Journal of Shanghai Jiao Tong University    2024, 58 (9): 1420-1431.   DOI: 10.16183/j.cnki.jsjtu.2023.065 Abstract （2427）   HTML （17）    PDF（pc） （3027KB）（434）       Knowledge map    Save With the construction of a diversified electricity market, the factors affecting electricity prices are gradually increasing, and the market environment has undergone more drastic changes. In order to improve the accuracy of short-term electricity price prediction, an improved Transformer-particle swarm optimization (PSO) short-term electricity price prediction method considering multiple factors affecting electricity prices is proposed. First, based on the consideration of historical electricity prices and historical loads, the relevant factors of electricity price formation are further analyzed. The autocorrelation function is used to analyze the multi-cycle characteristics of electricity price and adjust input sequence, which overcomes the problem of limited prediction accuracy caused by using historical data only and adjusting the input sequence by experience. Then, by combining long short-term memory (LSTM), self-attention mechanism, multi-layer attention mechanism, and adopting a multi-input structure, an improved Transformer model is established to further enhance the ability of the LSTM model to capture long short-term dependencies between different time step information, to overcome the information utilization bottleneck of LSTM, and to adapt to complex multiple sequence inputs including historical electricity prices and various electricity price causes. In addition, the PSO intelligent algorithm is utilized to search for the optimal learning rate of the model at different learning stages, overcoming the limitations of manually adjusting the learning rate. Finally, the PJM market electricity price is used for example analysis. The results show that the proposed short-term electricity price prediction model can be applied to the market environment where electricity prices are affected by various factors and drastic changes, and effectively improve the accuracy of short-term electricity price prediction. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Switching Modeling and Application in Fault Diagnosis Algorithm Testing of Distribution Network XUE Guiting, LIU Zhe, HAN Zhaoru, SHI Fang, WANG Ti, WANG Xiao Journal of Shanghai Jiao Tong University    2024, 58 (9): 1381-1389.   DOI: 10.16183/j.cnki.jsjtu.2023.129 Abstract （2407）   HTML （6）    PDF（pc） （4150KB）（189）       Knowledge map    Save Fault diagnosis in power distribution networks is crucial for fault location, enhancement of fault processing efficiency, and reduction of power outage losses. Currently, the impact of switch operations and other interferences is seldomly considered in fault diagnosis algorithm designing and testing, which may lead to frequent mal-function and poor performance in practical applications. In this paper, a detailed analysis and modeling of the transient process of switch operation in distribution networks is proposed with the combination of the Mayr and the Helmer models. The transient waveform of the on-site operation process is compared and analyzed with the simulation waveforms generated in PSCAD. Based on the accuracy verification of the model, typical fault scenarios in distribution networks, including switch operation processes, are constructed for fault diagnosis algorithm tests. Compared to the traditional model, the model proposed can simulate and generate disturbance data close to the on-site switch operation process for reliability testing of fault diagnosis algorithms. Finally, several suggestions for optimizing the fault diagnosis algorithm and testing process are proposed through result analysis. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Low-Carbon Operation Strategy of Integrated Energy System Based on User Classification ZHANG Chunyan, DOU Zhenlan, BAI Bingqing, WANG Lingling, JIANG Chuanwen, XIONG Zhan Journal of Shanghai Jiao Tong University    2024, 58 (1): 1-10.   DOI: 10.16183/j.cnki.jsjtu.2022.321 Abstract （2382）   HTML （44）    PDF（pc） （1783KB）（441）       Knowledge map    Save Integrated energy system (IES) is an important means to achieve the goal of “carbon peaking and carbon neutrality”. However, different types of users in the system have different energy consumption behaviors, which makes the coordinated optimization and low-carbon operation of the integrated energy system more difficult. In order to give full play to the subjective initiative of users, the user behavior of the integrated energy system is modelled based on user behavior analysis, and users are classified into aggressive and conservative types by convolutional neural network (CNN). Then, the decision model of integrated energy system operator is constructed to determine the supply mode of electric heating energy, and the corresponding energy package is designed for different types of users. Finally, the effectiveness of the above models and methods is analyzed based on actual data, and the value of user classification in low-carbon operation of integrated energy systems is verified. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Dispatching Method of Combined Wind-Storage System for Multi-Time Scale Scenarios Application in Electricity Markets YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan, QU Yinpeng, WANG Pengda Journal of Shanghai Jiao Tong University    2024, 58 (9): 1410-1419.   DOI: 10.16183/j.cnki.jsjtu.2022.493 Abstract （2358）   HTML （13）    PDF（pc） （2736KB）（345）       Knowledge map    Save Aimed at the coupling problem of the combined wind-storage system participating in different call time scale scenarios in electricity markets, an optimal dispatching method of the combined wind-storage system oriented to the application of multi-time scale scenarios in electricity markets is proposed to guide the combined wind-storage system to suppress short-term wind power fluctuation, and participate in the electric energy market and the reserve ancillary service market, so as to realize the collaborative optimization among different call time scale scenarios application and maximize the economic benefits of the combined wind-storage system. First, considering the profit mechanism of different scenarios, the objective function is established with the objective of maximizing the economic benefits of multiple scenarios of the combined wind-storage system. Then, the constraints of the combined wind-storage system participating in various application scenarios and multi call time scale coupling constraints are established. Finally, the numerical simulation verifies that the proposed method can improve the comprehensive operation profit of the combined wind-storage system in the day-ahead electric energy market and the reserve ancillary service market while ensuring that the wind power fluctuation does not exceed the limit. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Method for Carbon Emission Measurement and a Carbon Reduction Path of Urban Power Sector HU Zhuangli, LUO Yichu, CAI Hang Journal of Shanghai Jiao Tong University    2024, 58 (1): 82-90.   DOI: 10.16183/j.cnki.jsjtu.2022.222 Abstract （2315）   HTML （12）    PDF（pc） （1670KB）（397）       Knowledge map    Save To measure and reduce carbon emissions in the urban power sector, a method for measuring carbon emissions in the urban power sector and a carbon reduction path are proposed. First, a carbon emission measurement model for the urban power sector is established based on the data of local power generation and net inward power. Then, carbon reduction measures for the urban power sector are proposed from the generation side, grid side, load side and energy storage side. After that, an evaluation model for the effect of the carbon reduction measures is established. Finally, taking a typical city F in the Pearl River Delta as an example, the proposed carbon emission calculation model is used to calculate the carbon emissions of power sector of the city, and the effectiveness of carbon reduction in 2030 carbon peak scenario of the city is evaluated based on the carbon reduction measures. The results show that the proposed model can accurately measure the carbon emissions of the urban power sector, and by utilizing carbon reduction measures, carbon emissions of the city can be reduced by at least 10.6 million tons in 2030. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Hydrodynamic Performance of a Barge-Type Floating Offshore Wind Turbine with Moonpool CHEN Yiren, YAO Jinyu, LI Mingxuan, ZHANG Xinshu Journal of Shanghai Jiao Tong University    2024, 58 (7): 965-982.   DOI: 10.16183/j.cnki.jsjtu.2022.521 Abstract （2238）   HTML （18）    PDF（pc） （11548KB）（514）       Knowledge map    Save The hydrodynamic performance of a barge-type floating offshore wind turbine (FOWT) with a moonpool is studied in frequency domain with reference to the Ideol-Floatgen design. The correction of the viscous damping of the moonpool is considered. First, the resonance modes of the moonpool are analyzed. Then, the hydrodynamic coefficients of the FOWT under regular waves and the motion responses under irregular waves are investigated. Finally, the safety of the FOWT is verified with respect to the DNV standards. The results show that the dynamic pitch and nacelle acceleration of the barge-type FOWT meet the safety requirements under both operating and survival conditions. The investigation of the coupling effects of the platform motion and the moonpool resonance shows that the motion of the platform will cause the shift of the piston mode frequency of the moonpool and the reduction of the piston mode response amplitude, the frequency of the sloshing mode is basically unaffected, but the response amplitude of the first-order sloshing mode is increased. The motion responses of the barge-type FOWT with and without the moonpool are compared. It is found that the moonpool can reduce the motion response of the FOWT, and improve the overall hydrodynamic performance of the FOWT. The platform length, moonpool length and platform draught are parametrically analyzed. Surge, heave, pitch response RMS values and the nacelle acceleration response RMS value are used as the indicators of comparison. It is found that the increase of the platform length could effectively reduce the four response RMS values of the FOWT under both operating and survival conditions, the increase of the moonpool length will reduce the four response RMS values of the FOWT under the operating condition, and the increase of the platform draught could significantly reduce the four response RMS values of the FOWT under the survival condition, the heave and pitch response RMS values increase with the augmentation of the draught under the operating condition. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Refined Simulation of Near-Surface Wind Field of Atmospheric Boundary Layer Based on WRF-LES Model LIU Dalin, TAO Tao, CAO Yong, ZHOU Dai, HAN Zhaolong Journal of Shanghai Jiao Tong University    2024, 58 (2): 220-231.   DOI: 10.16183/j.cnki.jsjtu.2022.415 Abstract （2222）   HTML （49）    PDF（pc） （9950KB）（755）       Knowledge map    Save Extreme meteorological disasters such as typhoons pose a serious threat to the safety of engineering structures. Therefore, the refined simulation on the near-surface atmospheric boundary layer (ABL) is valuable for civil engineering. Large-eddy simulation (LES) implemented in the weather research and forecating (WRF) model has the advantages of multiple options of numerical schemes and high accuracy. It is generally suitable for the refined simulation of the near-surface wind field, although the performance of simulation results is closely related to the numerical methods. This paper assesses the impacts of vital parameters regarding subfilter-scale (SFS) stress models, mesh size, and spatial difference schemes within WRF-LES to simulate the ideal ABL in order to figure out appropriate numerical schemes for the refined simulation of the near-surface wind field. The wind field characteristics are addressed and analyzed such as mean wind speed profile, turbulence intensity profile, and power of spectrum. Comparisons of simulation results among different SFS stress models indicate that the nonlinear backscatter and anisotropy one (NBA1) SFS stress model can effectively improve the accuracy of simulation in the near-surface wind profiles. Investigations of mesh resolution effects indicate that the nonuniformly refined vertical grid near the surface agrees much better with the expected profiles and reduces the expenditure of computational resources. Furthermore, the results show that the even-order spatial difference schemes produce more small-scale turbulent structures than the odd-order difference schemes. The numerical methods of WRF-LES proposed can provide a technical reference for refined simulation of the near-surface wind field and typhoon boundary layer. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Improved Magnetic Circuit-Motion Coupled Model and Fast Simulation of Direct-Acting Electromechanical Motion Device JIANG Peng, GUAN Zhenqun, ZHAO Guozhong, ZHANG Qun, QIN Zhiqiang Journal of Shanghai Jiao Tong University    2024, 58 (1): 102-110.   DOI: 10.16183/j.cnki.jsjtu.2022.243 Abstract （2217）   HTML （5）    PDF（pc） （3985KB）（337）       Knowledge map    Save The rapid simulation of the dynamic performance of electromechanical devices such as solenoid valves and relays is important for product development and design. A magnetic circuit model of the non-saturated direct-acting electromechanical motion device is improved, and then coupled with the motion equation of the mechanism to realize the rapid simulation of the electromechanical motion device. In contrast to the ideal magnetic resistance in the conventional magnetic circuit model, the non-saturated total magnetic resistance is expressed by a cubic polynomial of the movement displacement of mechanism. The four undetermined coefficients of the polynomial are calibrated by the simulation values of static magnetic force and inductance at the upper and lower motion limits. The improved magnetic circuit model can more accurately predict the changes of magnetic attraction force and inductance with the motion displacement. Furthermore, coupled with the motion equation of the electromechanical motion device, the improved model establishes an improved magnetic circuit-motion coupled model and realizes fast second-level simulation of an electromagnetic brake and valve in the Simulink system, which can greatly reduce the finite element simulation time while maintaining simulation accuracy. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Review of High Voltage Ride-Through Control Method of Large-Scale Wind Farm WEI Juan, LI Canbing, HUANG Sheng, CHEN Sijie, GE Rui, SHEN Feifan, WEI Lai Journal of Shanghai Jiao Tong University    2024, 58 (6): 783-797.   DOI: 10.16183/j.cnki.jsjtu.2022.416 Abstract （2190）   HTML （18）    PDF（pc） （1884KB）（643）       Knowledge map    Save As the major demand for the development and utilization of new energy, the large-scale development of wind power is a key support in achieving the strategic goal of “cabron peaking and carbon neutrality” for China. The problem of safe and stable operation of wind farms caused by external grid faults has become one of the key bottlenecks restricting the large-scale, clustered, and intelligent development of wind power. This paper mainly focuses on the voltage surge condition of the power grid. First, it analyzes the transient characteristics of high voltage ride-through (HVRT) of the doubly-fed induction generator-wind turbine, permanent magnet synchronous generator-wind turbine, and wind farms. Then, it summarizes the corresponding HVRT and post-fault voltage recovery coordinated optimal control strategies based on the different control areas, and it classifies and compares the working principles and advantages and disadvantages of various control strategies. Afterwards, it recapitulates the principle, advantages and disadvantages, and effects of the existing HVRT control method for large-scale wind farms, and analyzes the differences between the single wind turbine and the large-scale wind farms from the perspective of control structure. Finally, it discusses the development trend and potential research hotspots of wind farm voltage intelligent safety control in the future, aiming to provide reference for improving the large-scale application of wind power and the safe operation of power grids in China. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(2)

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Optimization Design of New Bionic Propeller WU Chunxiao, LU Yu, LIU Shewen, GU Zhuhao, SHAO Siyu, SHAO Wu, LI Chuang Journal of Shanghai Jiao Tong University    2023, 57 (11): 1421-1431.   DOI: 10.16183/j.cnki.jsjtu.2022.174 Abstract （2158）   HTML （31）    PDF（pc） （10709KB）（628）       Knowledge map    Save A novel method for optimal design of hydrodynamic performance of bionic propeller with a deformable leading edge is proposed. Based on the bionics principle and method of parameterized modeling, the fore-fin concave-convex structure of humpback whales is applied to the propeller leading edge, the leading edge in the propeller to meet flow region according to the exponential decay curve and the standard sine curve smooth leading edge for similar humpback fins protuberant structure of concave and convex deformation, and the leading edge of concave and convex bionic propeller. The hydrodynamic performance, the cavitation performance, and the noise performance of the exponential decay bionic propeller and the sinusoidal function bionic propeller were simulated respectively. The propeller with a better performance is selected, and the simulation based design (SBD) technology is introduced into the optimization design of the new bionic propeller. The parameters controlling the shape of the exponential attenuation curve of the guide edge deformation are taken as optimization design variables, the torque of the parent propeller is taken as the constraint condition, the open water efficiency is selected as the objective function, and the optimization algorithm of Sobol and T-Search is adopted. A bionic propeller optimization system based on the exponential decay curve is constructed. The results show that the application of the concave and convex structure of the humpback whale fore-fin to the guide edge of the propeller improves the cavitation performance and noise performance of the propeller, but the improvement of the open water performance of the propeller is not particularly significant. It is verified that the hydrodynamic performance optimization design method of the bionic propeller established in this paper is effective and reliable, which provides a certain theoretical basis and technical guidance for the performance numerical calculation and configuration optimization design of the bionic propeller. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Joint Economic Optimization of AGV Logistics Scheduling and Orderly Charging in a Low-Carbon Automated Terminal WANG Xuan, WANG Bao, CHEN Yanping, LIU Hong, MA Xiaohui Journal of Shanghai Jiao Tong University    2024, 58 (9): 1370-1380.   DOI: 10.16183/j.cnki.jsjtu.2023.027 Abstract （2151）   HTML （13）    PDF（pc） （3702KB）（650）       Knowledge map    Save To improve the current automated guided vehicle (AGV) charging strategy at automated terminals, which is not fully coordinated with the distributed power supply, a joint optimization method of AGV logistics scheduling and orderly charging is proposed. First, the synergetic relationship between AGV logistics scheduling and charging scheduling is analyzed, and a joint optimization framework is built. Then, a method to calculate the distance traveled by AGVs while considering the segregation requirements of trucks inside and outside the terminal is proposed. Afterwards, for the AGV charging module, the judgment conditions of AGV charging status and the pile selection method are defined. Furthermore, to minimize the cost of purchasing electricity at the terminal, a joint optimization model of logistics scheduling and orderly charging is constructed by considering time-of-use tariff, distributed power feed-in tariff, power balance constraint, state of charge constraint at the termination moment, upper and lower bound constraints of decision variables, and logistics scheduling constraint. Finally, a fast solution method based on improved particle swarm optimization algorithm is proposed, of which the effectiveness and economic efficiency are verified by an actual case of a terminal. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Degaussing Coil Deployment and Degaussing Current Optimization Strategy for Ship Partition Based on Tilted Correlation Screening TIAN Ye, YU Moduo, HUANG Wentao, TAI Nengling, NIU Lu Journal of Shanghai Jiao Tong University    2024, 58 (7): 1018-1026.   DOI: 10.16183/j.cnki.jsjtu.2022.417 Abstract （2136）   HTML （8）    PDF（pc） （3102KB）（306）       Knowledge map    Save In modern ship degaussing systems, degaussing windings are mainly distributed based on the shape of ship bulkhead, which is difficult to ensure the degaussing effect of magnetic induction intensity of unit winding of each degaussing winding. In order to solve this problem, this paper introduces a tilted correlation screening in high-dimensional variable filter, which splits and recombines the original coils, and re-divides the original degaussing sections, so as to improve the degaussing efficiency of each coil. Aiming at the problem of sparse parameter vectors and multiple collinearity in the calculation of degaussing current after winding restructuring, this paper proposes a slant correlation screening and partial ridge regression algorithm. Through simulation, when the threshold is 0.73 and 0.91, the algorithm reduces 10.08% and 17.59% respectively compared with the least square method, while the residual root mean square error decreases by 10.45% and 12.17%. The simulation results show that the degaussing effect is significantly improved after the algorithm is adopted. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Robust Evaluation Method of Integrated Energy System Based on Variable Step Simulation and Improved Entropy Weight Method FAN Hong, HE Jie, TIAN Shuxin Journal of Shanghai Jiao Tong University    2024, 58 (1): 59-68.   DOI: 10.16183/j.cnki.jsjtu.2022.186 Abstract （2086）   HTML （13）    PDF（pc） （5076KB）（277）       Knowledge map    Save As an important manifestation of the energy Internet, the integrated energy system improves the energy utilization rate. However, it also brings more risks due to the high coupling and the large difference in the response speed between the various systems. From the perspective of system security, it becomes crucial to accurately identify the weak links in the system and evaluate the robustness of the system. Therefore, a robustness evaluation method combining variable step size simulation and improved entropy weight method is proposed in the complex network environment. First, the structure of the integrated energy system is introduced and the coupling links of the system are further explained. Then, the robustness indicators including network damage degree and connectivity factor are proposed, and a variable step according to the difference of the response time of different systems is adopted. Based on the simulation results, an improved entropy weight method is proposed, and a more objective evaluation method is constructed. Finally, the superiority of the evaluation method is verified by a case study. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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PG-MACO Optimization Method for Ship Pipeline Layout LIN Yan, JIN Tingyu, YANG Yuchao Journal of Shanghai Jiao Tong University    2024, 58 (7): 1027-1035.   DOI: 10.16183/j.cnki.jsjtu.2022.508 Abstract （2059）   HTML （10）    PDF（pc） （3432KB）（229）       Knowledge map    Save Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, economy, coordination and operability, and the defects of ant colony optimization algorithm in dealing with mixed pipeline layout conditions are improved. A spatial state transition strategy for optimizing feasible solution search, a pheromone diffusion mechanism for improving pheromone inspiration effect and accelerating algorithm convergence are proposed, and a multi-ant colony co-evolution mechanism is designed for mixed pipeline layout conditions. Based on the secondary development technology, the application of this method in the third-party design software is realized, and verified by a nuclear primary pipeline layout project. The results show that the pheromone Gaussian diffusion multi ant colony optimization (PG-MACO) algorithm has a better performance and layout effect than the traditional ant colony algorithm. The routing efficiency is improved by 58.38%, the convergence algebra is shortened by 43.24%, the pipeline length is shortened by 33.88%, and the number of pipeline bends is reduced by 41.67%, which verifies the effectiveness and engineering practicability of the proposed method. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research progress of Hashimoto thyroiditis TIAN Limin, FENG Jing Journal of Internal Medicine Concepts & Practice    2024, 19 (04): 217-223.   DOI: 10.16138/j.1673-6087.2024.04.01 Abstract （2053）   HTML （32）    PDF（pc） （973KB）（317）       Knowledge map    Save Hashimoto thyroiditis (HT) is a very common organic autoimmune thyroid disease, and its incidence is increasing year by year. It not only causes hypothyroidism in clinical practice, but also has many connections with a variety of immune diseases, endocrine diseases, rheumatic diseases and thyroid cancer. Although the exact etiology of HT has not been fully clarified, the mainstream treatment is still based on management and alternative treatment of hypothyroidism. However, as the research further deepens, more clinical variants have been gradually discovered, more and more factors have been found to be related to the onset of HT, and new discoveries have been made in treatment methods. This article reviews the research progress on clinical manifestations, pathological features, diagnosis, pathogenesis, relationship with other diseases and treatment of HT. Reference | Related Articles | Metrics | Comments（0）

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Comprehensive Evaluation of Key Technologies in Power Internet of Things Based on Comprehensive Similarity of Cloud Model CHEN Lianfu, ZHONG Haiwang, TAN Zhenfei, RUAN Guangchun Journal of Shanghai Jiao Tong University    2024, 58 (1): 19-29.   DOI: 10.16183/j.cnki.jsjtu.2022.420 Abstract （2039）   HTML （18）    PDF（pc） （1954KB）（179）       Knowledge map    Save Currently, the comprehensive evaluation of the application of key technologies in the power Internet of Things (PIoT) has the characteristics of a single evaluation object, and the traditional evaluation methods are not applicable. In order to comprehensively evaluate the technology maturity and operational effectiveness of PIoT projects, a comprehensive evaluation index for key technologies in PIoT is established to comprehensively consider the different development stages. According to the characteristics of application scenario, an evaluation model based on the comprehensive similarity of cloud model is proposed. By reforming the technique for order preference by similarity to an ideal solution (TOPSIS) method, a decision matrix for a single evaluation object is constructed, and the shape-distance comprehensive similarity of the cloud model is used as a measure to characterize the relative closeness of the TOPSIS method, and the accurate evaluation of a single object is realized. Finally, the proposed method is applied to assess a PIoT demonstration project. The results show that the proposed comprehensive evaluation index and evaluation method can objectively and comprehensively evaluate the comprehensive application effect of each key technology in the construction and operation stages of PIoT. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Reliability Index Calculation and Reserve Capacity Optimization Considering Multiple Uncertainties YE Lun, OUYANG Xu, YAO Jiangang, YANG Shengjie, YIN Jungang Journal of Shanghai Jiao Tong University    2024, 58 (1): 30-39.   DOI: 10.16183/j.cnki.jsjtu.2022.366 Abstract （2032）   HTML （10）    PDF（pc） （1413KB）（246）       Knowledge map    Save In power systems with a high proportion of renewable energy, to achieve coordinated optimal scheduling of source and load considering multiple uncertainties is an important issue in power system operation. Therefore, a probabilistic spinning reserve optimization model based on multiple scenarios is constructed. Multiple uncertain factors are considered in the model, such as wind power and solar power forecast errors, load forecast error and unscheduled generator outage. Renewable energy curtailment and load shedding are used as special reserve resources in the day-ahead security-constrained unit commitment (SCUC) to improve the economic operation efficiency. The calculations of reliability indexes, expected energy not served and expected energy curtailment, are simplified, and the inequality constraints related to these two indexes are reduced, which improves the computational performance of the model. The model optimizes the total expected cost considering multiple uncertainties. Case studies based on the IEEE-RTS demonstrate the effectiveness of the proposed model. The numerical results show that the improved calculation method of reliability indexes can effectively reduce the solution time of the SCUC model. The reserve optimization model can realize the dynamic allocation of the spinning reserve capacity of the system and improve economic operation of the system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Online Monitoring Method for Inertial Support Capacity of Point-to-Grid in New Power Systems DENG Xiaoyu, LIU Muyang, CHANG Xiqiang, NAN Dongliang, MO Ruo, CHEN Junru Journal of Shanghai Jiao Tong University    2024, 58 (9): 1390-1399.   DOI: 10.16183/j.cnki.jsjtu.2023.029 Abstract （2018）   HTML （10）    PDF（pc） （2472KB）（94）       Knowledge map    Save An accurate and timely monitoring for the inertia support capability of the point of interconnection of aggregated sources to the grid in a low-inertia new power system is crucial for the safety, stability, and economic operation of the system. In order to explain the basic idea of the online point-to-grid inertia monitoring method, the definition of inertia of power system based on the swing equation and existing online monitoring methods are analyzed. Then, in order to improve the accuracy of the existing online inertia monitoring method, an equivalent inertia constant identification method based on the regression method is developed. Combining the proposed inertia constant identification method with the online inertia monitoring method, a systematic method for online monitoring of the inertia support capacity of point-to-grid in new power system is developed based on synchronous phasor measurement units. Finally, the simulation analysis of a modified New England 10-machine 39-bus system proves the accuracy and the feasibility of the developed real-time inertia monitoring method for the new power system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Robust Optimal Scheduling of Micro Energy Grid Considering Multi-Interval Uncertainty Set of Source-Load and Integrated Demand Response MI Yang, FU Qixin, ZHAO Haihui, MA Siyuan, WANG Yufei Journal of Shanghai Jiao Tong University    2024, 58 (9): 1323-1333.   DOI: 10.16183/j.cnki.jsjtu.2023.022 Abstract （2016）   HTML （8）    PDF（pc） （1898KB）（248）       Knowledge map    Save Aiming at the uncertainty of the source and load in micro energy grid, a robust optimal scheduling model considering multi-interval uncertainty set of source-load and integrated demand response is proposed. First, considering the uncertainty of wind power, photovoltaic output and electric, and thermal and cooling loads in the micro energy grid, a multi-interval uncertainty set of source-load is established. Then, in order to fully tap the potential of load side dispatching, an integrated demand response model is established, which includes reducible electric load, transferable electric load, flexible cooling, heating load, and replaceable load, based on which, the uncertainty of integrated demand response is considered. Afterwards, with the lowest dispatching cost of micro energy grid as the objective function, a two-stage robust optimal scheduling model of micro energy network is constructed, which considers the multi-interval uncertainty set of source load and the integrated demand response. The model is solved by the column and constraint generation algorithm, the strong duality theory, and the large M method. Finally, the rationality and effectiveness of the proposed model are verified through the analysis of numerical examples. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Pattern Recognition and Ultra-Short-Term Probabilistic Forecasting of Power Fluctuating in Aggregated Distributed Photovoltaics Clusters WANG Yubo, HAO Ling, XU Fei, CHEN Wenbin, ZHENG Libin, CHEN Lei, MIN Yong Journal of Shanghai Jiao Tong University    2024, 58 (9): 1334-1343.   DOI: 10.16183/j.cnki.jsjtu.2023.048 Abstract （2015）   HTML （7）    PDF（pc） （4167KB）（480）       Knowledge map    Save The quantitative evaluation of the uncertainty in distributed photovoltaic power is significant for the safe and stable operation of distribution network. Considering the significant differences in power characteristics of different output fluctuation patterns, in order to obtain a prediction model suitable for different fluctuation patterns and to perform a refined assessment of power uncertainty, this paper proposes a method for pattern recognition and ultra-short-term probabilistic forecasting of power fluctuating in aggregated distributed photovoltaic clusters. First, the satellite cloud images and photovoltaic power data are integrated, and the pattern recognition model of fluctuation is constructed via the feature extraction of power fluctuation, realizing the mining of fluctuation rules. On this basis, the difference in predictability of different fluctuation patterns and the correlation between fluctuation patterns and prediction errors are considered via classification modeling, so that the width of prediction interval can better adapt to the characteristics of prediction error distribution. Thus, refined consideration of power uncertainty of different fluctuation patterns is realized to improve the precision of probabilistic prediction, provide more references for power grid dispatching, and weaken the influence of the strong volatility in distributed photovoltaic power on the power system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Parameter Control of Adaptive Bistable Point Absorber Wave Energy Converter in Irregular Waves LI Yang, ZHANG Xiantao, XIAO Longfei Journal of Shanghai Jiao Tong University    2025, 59 (3): 293-302.   DOI: 10.16183/j.cnki.jsjtu.2023.309 Abstract （1990）   HTML （12）    PDF（pc） （4987KB）（328）       Knowledge map    Save Although the adaptive bistable wave energy generation device solves the problem that the bistable system may be difficult to cross the barrier when the amplitude of the incident wave is small, its efficiency can still be improved. Previous studies have proved that the change of the parameters of the device will have a great impact on its performance, and the optimal device parameters are closely related to the spectral peak frequency at a given time. Therefore, in the control study of the device, a control scheme is designed and the device parameters are adjusted accordingly in order to improve efficiency assuming that the peak frequency within a period of time is predictable. In this study, three control parameters are selected, and the optimal device parameter library with different spectral peak frequencies is determined by simulation calculation. The control module is then added to the simulation program to control the parameters by interpolation. The results show that the device with variable parameter control improves energy capture efficiency. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Summary and interpretation of the World Health Organization “Global Report on Hypertension” ZHANG Dongyan, LI Yan Journal of Diagnostics Concepts & Practice    2024, 23 (03): 297-304.   DOI: 10.16150/j.1671-2870.2024.03.007 Abstract （1969）   HTML （54）    PDF（pc） （945KB）（3340）       Knowledge map    Save In 2023, the World Health Organization (WHO) released the first document of “Global report on hypertension—The race against a silent killer”. which covers the global prevalence and management of hypertension, analyzes the mortality and disease burden caused by hypertension, explores the risk factors for hypertension, evaluates the cost-effectiveness of blood pressure treatment, and presents successful examples of hypertension management in many countries, especially the global implementation of the WHO-launched HEARTS project for hypertension control. Hypertension is a significant global public health challenge with severe health implications. Over the past 30 years, the number of people with hypertension (defined as systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg, or taking antihypertensive medication) has doubled, rising from 650 million in 1990 to 1.3 billion in 2019. Among the global hypertensive population aged 30-79, approximately 54% have been diagnosed, of which 42% are receiving antihypertensive treatment, and only 21% have controlled blood pressure. In 2019, elevated systolic pressure was responsible for over half of cardiovascular disease deaths globally. Increasing the global hypertension control rate to 50% could prevent 76 million deaths from 2023 to 2050. Population-level risk factors for hypertension include high salt and low potassium intake, alcohol consumption, physical inactivity, and air pollution. WHO advocates for the prevention and control of hypertension through measures such as reducing dietary sodium intake, increasing potassium intake, limiting alcohol consumption, quitting smoking, increasing physical activity, and improving air quality. In terms of treatment, WHO guidelines recommend antihypertensive medication for individuals with systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg. For specific populations, it is also recommended to start antihypertensive treatment when systolic blood pressure is between 130-139 mmHg. The use of single-pill combination therapy is also advised to improve adherence and persistence in treatment. The prevalence and management of hypertension in China are also noteworthy. Hypertension is a major cause of mortality and disease burden in the Chinese population. By learning from global successes in hypertension management, China can enhance its efforts in the prevention, control, and monitoring of hypertension, particularly by promoting the application of the HEARTS technical package to improve hypertension management. This report aims to draw attention to major non-communicable diseases, particularly hypertension, as a public health challenge. Through detailed data analysis and successful case studies, the report underscores the importance of hypertension prevention and control, providing scientific evidence for policy-making across countries. This collective effort aims to achieve the global goal of a 25% relative reduction in uncontrolled hypertension prevalence by 2025 compared to 2010. This article will interpret briefly the reports based on the prevalence and management of hypertension in China. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Crashworthiness of.pngfened Plate Under Wedge Impact CHEN Hongting, ZHAO Yanjie, ZHOU Hongyu, WANG Deyu Journal of Shanghai Jiao Tong University    2024, 58 (7): 1057-1066.   DOI: 10.16183/j.cnki.jsjtu.2023.006 Abstract （1964）   HTML （8）    PDF（pc） （7115KB）（182）       Knowledge map    Save In order to predict the crashworthiness of.pngfened plate structures of ships under eccentric vertical quasi-static ballast of wedge, a new simplified analytical method is proposed in this paper. The plastic deformation area of the rectangular plate is divided into eight asymmetrical plates and the aggregate is divided into two asymmetrical parts. An linear mode is adopted in the deformation of rectangular plate and aggregate. From the perspective of the internal dynamics of ship collision, and based on the rigid-plastic theory, a simplified analytical method is deduced between the deformation damage resistance and lateral deformation of rectangular plate and aggregate under the eccentric vertical action of wedge impact, considering tensile and bending effects of the membrane. The proposed method is verified by the simulation results of nonlinear finite element software Abaqus. The results show that the proposed method has a high prediction accuracy, and can be used in the hull structure design stage to quickly predict the crashworthiness of the ship side structure. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Coordinate Scheduling Model of Electric Vehicle-Unmanned Aerial Vehicle Joint Rescue System BAI Wenchao, BAN Mingfei, SONG Meng, XIA Shiwei, LI Zhiyi, SONG Wenlong Journal of Shanghai Jiao Tong University    2024, 58 (9): 1443-1453.   DOI: 10.16183/j.cnki.jsjtu.2023.052 Abstract （1956）   HTML （11）    PDF（pc） （3151KB）（498）       Knowledge map    Save The rapid development of electric vehicles (EVs) and unmanned aerial vehicles (UAVs) provides new ways for personnel search and material distribution during emergency periods. This paper proposes an EV-UAV joint rescue system, in which the UAVs use the EVs as charging and maintenance base stations to provide various services for the objects to be rescued, and the EVs can use distributed generations to obtain diversified electricity supply, which improves the adaptability and endurance level of the system in emergencies. The coordinated scheduling model of the EV-UAV system is established in the mixed-integer linear programming (MILP) formulation, which considers factors including electricity consumption, electricity replenishment, loading capacity, distribution route, and distribution time window of the EVs and the UAVs. Case studies verify the validity of the model proposed, compare the EV-UAV and ground vehicle (GV)-UAV rescue systems, and illustrate the technical characteristics and application potential of the EV-UAV system in emergency assistance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Robust Optimal Scheduling of Agricultural Microgrid Combined with Irrigation System Under Uncertainty Conditions YANG Sen, GUO Ning, ZHANG Shouming Journal of Shanghai Jiao Tong University    2024, 58 (9): 1432-1442.   DOI: 10.16183/j.cnki.jsjtu.2023.035 Abstract （1933）   HTML （9）    PDF（pc） （2680KB）（143）       Knowledge map    Save Agricultural microgrids offer a promising solution for energy supply in remote rural areas in a low-cost manner. In this paper, under uncertain conditions of renewable energy output and electricity load demand, a robust optimal scheduling model combined with the isolated agricultural microgrid and irrigation system containing a pumped hydro storage (PHS) power station is proposed, considering the factors that the wind-landscape pumped storage integrated agricultural microgrid can satisfy the uncertain fluctuations of power load demand and water load demand. By utilizing the abundant water resources in rural areas and the advantages of landscape drainage and storage compensation, the total cost of the system is minimized while the absorption of renewable energy is increased. Considering distributed generation, power load demand and water load demand, turbine flow, and irrigation flow, the proposed model is characterized by diversity, multi-constraint, and discontinuity. A gravitational whale optimization algorithm (GWOA) is proposed to solve the model. The simulation results of an agricultural microgrid show that the GWOA can obtain a more competitive solution than the CPLEX solver and other newly developed algorithms do. In addition, the impact of the change of water load demand caused by precipitation uncertainty on the operating cost of the irrigation system and the necessity of using PHS power station are explored. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Influence of DC-Bus Voltage on Synchronization Stability of Grid-Following Converters SI Wenjia, CHEN Junru, ZHANG Chenglin, LIU Muyang Journal of Shanghai Jiao Tong University    2025, 59 (3): 313-322.   DOI: 10.16183/j.cnki.jsjtu.2023.321 Abstract （1908）   HTML （5）    PDF（pc） （2943KB）（214）       Knowledge map    Save With the increasing penetration of new energy sources and the development of new power systems, grid-following converter (GFL) plays a crucial role in maintaining the stability of power systems. However, existing transient stability analyses of GFLs assume that the direct current (DC) side behaves as a constant-voltage source, neglecting the effects of DC-bus voltage control. This paper aims to investigate the transient instability mechanism of GFL considering DC-bus voltage control. First, a transient synchronous stability model considering DC voltage control is established, followed by an analysis of the transient synchronous stability of GFL under DC-bus voltage control. The findings indicate that DC voltage control increases the active current reference value and decreases the equivalent damping of the GFL, which in turn reduces its transient synchronous stability of GFL. By increasing the proportional coefficient or reducing the integral coefficient of DC-bus voltage control, transient synchronous stability can be appropriately improved. Finally, the theoretical analysis is validated through MATLAB/Simulink simulations. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Vibration Control of Semi-Submersible Offshore Wind Turbines Using Inerter-Based Absorbers ZENG Weijie, ZHANG Ying, DENG Yanfei, GUO Chuanrui, REN Weixin Journal of Shanghai Jiao Tong University    2024, 58 (7): 983-994.   DOI: 10.16183/j.cnki.jsjtu.2023.019 Abstract （1887）   HTML （12）    PDF（pc） （3460KB）（482）       Knowledge map    Save Compared with fixed offshore wind turbines, the vibration problem of floating offshore wind turbines is particularly prominent, and further reduction of the vibration of floating offshore wind turbines has become an engineering challenge. In order to solve this problem, a novel vibration suppression device, inerter-based absorber (IBA) is introduced, and the vibration control of semi-submersible offshore wind turbines is studied. A comprehensive optimization method, namely the structure-immittance approach, is utilized to design the IBA in a systematic way. In order to search for the optimum vibration suppression performance, a simplified dynamic model of the semi-submersible offshore wind turbine, and the IBA dynamic equations are established using D’Alembert’s principle. Simultaneous suppression of the vibration response of the floating platform and tower of a semi-submersible offshore wind turbine is realized using the dual IBA control strategy. Furthermore, by implementing the optimum IBA in the OpenFAST software, the vibration suppression benefits of the dual IBA compared with the dual tuned mass damper (TMD) are verified under the coupling effects of wind and waves. The results show that the vibration control performance of the dual IBA control strategy is significantly better than that of the single one, and that of the dual IBA is better than that of the dual TMD. In addition, under the condition of achieving the same suppression performance as the TMD, IBA installed at the nacelle and the platform can respectively decrease the required absorber mass by 23.9% and 32.2%, which can greatly reduce the manufacture cost of the device. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Cooperative Game Allocation Strategy for Wind-Solar-Pumped Storage-Hydrogen Multi-Stakeholder Energy System DUAN Jia’nan, XIE Jun, XING Shanxi Journal of Shanghai Jiao Tong University    2024, 58 (6): 872-880.   DOI: 10.16183/j.cnki.jsjtu.2022.531 Abstract （1881）   HTML （7）    PDF（pc） （1400KB）（288）       Knowledge map    Save To meet the construction demand of clean energy demonstration bases, a gain allocation strategy for the joint optimization operation of wind-solar-pumped storage-hydrogen multi-stakeholder energy system based on the cooperative game theory is proposed. In order to take into consideration the security of system operation, evaluation indicators for the complementarity of on-grid output are constructed. The stakeholders of wind, solar, pumped storage, and power-to-hydrogen cooperate through the internal electricity transaction to construct a joint scheduling model with the optimization goal of maximizing the operation benefits. Then, the minimum cost remaining saving (MCRS) method in the cooperative game theory is applied to allocate the synergistic benefits based on the scheduling results. The simulation results of a 12-stakeholder wind-solar-pumped storage-hydrogen clean energy demonstration base show that each stakeholder can derive positive gains through joint operation, and the reservoir capacity of pumped storage station, on-grid price and operation security demand will affect the cooperative synergistic benefits of the system. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Shared Energy Storage Multi-Objective Allocation Strategy Considering Integrated Energy Microgrid Access to Active Distribution Network MI Yang, CHEN Yuyang, CHEN Boyang, HAN Yunhao, YUAN Minghan Journal of Shanghai Jiao Tong University    2024, 58 (9): 1309-1322.   DOI: 10.16183/j.cnki.jsjtu.2023.021 Abstract （1862）   HTML （16）    PDF（pc） （4556KB）（224）       Knowledge map    Save In order to give full play to the advantages of shared energy storage in improving economy and energy utilization, while considering the role of multi-energy complementation and coupling of integrated energy microgrids in active distribution networks, a multi-objective optimal allocation strategy of shared energy storage is proposed for the active distribution network connected with integrated energy microgrid. First, the optimization objectives of the economy and voltage stability of the distribution network and the configuration capacity of the shared energy storage are analyzed, the coordinated operation of the source-net-load side multi-flexible resources of the active distribution network is considered, and the active distribution network and the integrated energy microgrid are modeled. Then, the model is solved based on the Pareto optimal multi-objective particle swarm algorithm. Finally, the optimization algorithm of shared energy storage configuration is established in conjunction with the IEEE 33-node distribution system to verify the effectiveness of the proposed configuration strategy. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Distribution Network Fault Diagnosis Technology Based on Multi-Source Data Fusion ZHANG Chunmei, XU Xingque, LIU Silin Journal of Shanghai Jiao Tong University    2024, 58 (5): 739-746.   DOI: 10.16183/j.cnki.jsjtu.2022.317 Abstract （1852）   HTML （15）    PDF（pc） （1475KB）（347）       Knowledge map    Save How to make full use of existing information to improve the accuracy of fault diagnosis in distribution networks, and provide accurate research and judgement for emergency repair of distribution networks, is an urgent problem to be solved. To address the problem of the single source of fault diagnosis information in existing distribution networks, a fault diagnosis model of distribution network is proposed which integrates the medium and low voltage information of the distribution networks and the outgoing current information of the substation. The model first applies the existing overcurrent diagnosis method to the problem of large-scale distribution network, and adopts hierarchical reduction of the size of the distribution networks to improve the location speed of fault section. Then, in view of the accuracy of overcurrent alarm information, an auxiliary fault judgment method for distribution networks based on switch relay protection sequence of events (SOE) data and substation outgoing load sag data is proposed. Finally, the steps for fault diagnosis in distribution networks of multi-directional information and data fusion in practical engineering are summarized, which provides reference for fault diagnosis of dispatchers. Engineering practice proves that the method proposed in this paper can effectively diagnose faults and is very adaptable to large-scale distribution networks. The auxiliary diagnosis model combining switch operation SOE and telemetering voltage information can compensate for the accuracy requirements of the overcurrent diagnosis model for remote communication information, which is complementary to each other and has a good engineering value. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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DNA methylation detection assists early screening and diagnosis of tumors LIU Yifei Journal of Diagnostics Concepts & Practice    2023, 22 (04): 393-401.   DOI: 10.16150/j.1671-2870.2023.04.011 Abstract （1834）   HTML （43）    PDF（pc） （1010KB）（4028）       Knowledge map    Save DNA methylation is one of the most widely used indicator for early cancer screening. Under the influence of carcinogens, hypermethylation of the promoter region of tumor suppressor genes may lead to downregulation or silencing of gene expression, thereby activating the expression of proto-oncogenes and promoting tumorigenesis. The samples used for DNA methylation detection are mainly exfoliated cells, blood samples and paraffin-embedded tissues. Commonly used detection methods include: methylation-specific polymerase chain reaction (MSP), nucleic acid mass spectrometry, methylation chip, bisulfite sequencing, next-generation sequencing, etc. Compared with mutation detection, the advantages of DNA methylation detection are that it has higher tumor specificity, more detectable sites, higher signal quality, and can achieve tissue traceability. Currently, it is mainly used clinically for medication guidance for brain glioma, aid in diagnosis and high-risk triage for lung cancer, high-risk triage and recurrence monitoring for bladder cancer, high-risk triage for cervical cancer, and early screening and recurrence monitoring for colorectal cancer and gastric cancer. Before large-scale clinical routine application, accurately positioning of the application scenarios for DNA methylation detection must be considered. For well-tolerated endoscopy, the rigid need of DNA methylation detection for high-risk triage may be reduced. DNA methylation detection plays an important role in assisting in the diagnosis of tumors with low pathological diagnosis sensitivity, tumor monitoring and prognosis assessment. With the standardization of testing procedures and quality management, DNA methylation detection will be more widely used to improve the early screening and diagnostic sensitivity of tumors. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Energy Management Strategy of Integrated Electricity-Heat Energy System Based on Federated Reinforcement Learning WANG Jinfeng, WANG Qi, REN Zhengmou, SUN Xiaochen, SUN Yi, ZHAO Yiyi Journal of Shanghai Jiao Tong University    2024, 58 (6): 904-915.   DOI: 10.16183/j.cnki.jsjtu.2022.418 Abstract （1818）   HTML （9）    PDF（pc） （4615KB）（498）       Knowledge map    Save The energy management of the electricity-heating integrated energy system (IES) is related to the economic benefits and multi-energy complementary capabilities of a park, but it faces the challenges of the randomness of renewable energy and the uncertainty of load. First, in this paper, a mathematical model of the energy management problem for the electricity-heating IES is conducted, and each energy supply subsystem is empowered as an agent. Based on the deep deterministic policy gradient (DDPG) algorithm, a system energy management model is established that comprehensively considers the real-time energy load of the subsystem, the time-of-use pricing, and the output of each equipment. Then, the federated learning technology is used to interact with the gradient parameters of the energy management model of the three subsystems during the training process to synergistically optimize the training effect of the model, which can protect the data privacy of each subsystem while breaking the data barriers. Finally, an example analysis verifies that the proposed federated-DDPG energy management model can effectively improve the economic benefits of the park-level IES. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Stepwise Inertial Intelligent Control of Wind Power for Frequency Regulation Based on Stacked Denoising Autoencoder and Deep Neural Network WANG Yalun, ZHOU Tao, CHEN Zhong, WANG Yi, QUAN Hao Journal of Shanghai Jiao Tong University    2023, 57 (11): 1477-1491.   DOI: 10.16183/j.cnki.jsjtu.2022.157 Abstract （1811）   HTML （21）    PDF（pc） （10551KB）（267）       Knowledge map    Save Stepwise inertial control (SIC) provides a step-increase of power after load fluctuation, which can effectively prevent system frequency decline and ensure the safety of grid frequency. However, in the power recovery stage, secondary frequency drop (SFD) is easy to occur. Therefore, it is necessary to optimize SIC to obtain a better frequency regulation effect. The traditional method has the disadvantages of high calculation dimension and long consuming time, which is difficult to meet the requirements of providing the optimal control effect in different scenarios. In order to realize the optimal stepwise inertial fast control of wind power frequency regulation in load disturbance events, this paper introduces the deep learning algorithm and proposes a stepwise inertial intelligent control of wind power for frequency regulation based on stacked denoising autoencoder(SDAE) and deep neural network(DNN). First, sparrow search algorithm (SSA) is used to obtain the optimal parameters, and SDAE is used to extract the data features efficiently. Then, DNN is used to learn the data features, and the accelerated adaptive moment estimation is introduced to optimize the network parameters to improve the global optimal parameters of the network. Finally, the stepwise inertial online control of wind power frequency regulation after disturbance event is realized according to SDAE-DNN. The simulation analysis is conducted for a single wind turbine and a wind farm in the IEEE 30-bus test system. Compared with the results obtained by the traditional method, shallow BP neural network and original DNN network, it is found that the proposed network structure has a better prediction accuracy and generalization ability, and the proposed method can achieve a great effect of stepwise inertia frequency regulation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）