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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 （9645）   HTML （695）    PDF（pc） （3340KB）（6799）       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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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 （3343）   HTML （32）    PDF（pc） （8902KB）（427）       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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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 （2764）   HTML （6）    PDF（pc） （5125KB）（411）       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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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 （2390）   HTML （6）    PDF（pc） （7518KB）（383）       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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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 （2336）   HTML （4）    PDF（pc） （4150KB）（143）       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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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 （2298）   HTML （12）    PDF（pc） （3027KB）（359）       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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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 （2278）   HTML （12）    PDF（pc） （2736KB）（302）       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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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 （2151）   HTML （12）    PDF（pc） （11548KB）（473）       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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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 （2072）   HTML （8）    PDF（pc） （3702KB）（574）       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）

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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 （2062）   HTML （16）    PDF（pc） （1884KB）（503）       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）

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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 （2029）   HTML （5）    PDF（pc） （3102KB）（294）       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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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 （2025）   HTML （42）    PDF（pc） （9950KB）（639）       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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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 （2006）   HTML （7）    PDF（pc） （3432KB）（185）       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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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 （1936）   HTML （6）    PDF（pc） （1898KB）（195）       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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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 （1920）   HTML （7）    PDF（pc） （2472KB）（54）       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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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 （1909）   HTML （6）    PDF（pc） （7115KB）（164）       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 （1886）   HTML （6）    PDF（pc） （3151KB）（424）       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 （1885）   HTML （6）    PDF（pc） （2680KB）（102）       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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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 （1843）   HTML （5）    PDF（pc） （4167KB）（427）       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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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 （1816）   HTML （5）    PDF（pc） （1400KB）（262）       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 （1795）   HTML （12）    PDF（pc） （4556KB）（173）       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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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 （1765）   HTML （10）    PDF（pc） （3460KB）（397）       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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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 （1759）   HTML （13）    PDF（pc） （1475KB）（312）       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）

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Capacity Allocation Strategy of Energy Storage in Low-Carbon Park Considering Equivalent Energy Storage Characteristics of Thermal System CHEN Hui, HE Gengsheng, LIU Yuliang, ZENG Hongmei, ZHANG Shixu, LI Yaowang Journal of Shanghai Jiao Tong University    2024, 58 (6): 863-871.   DOI: 10.16183/j.cnki.jsjtu.2022.507 Abstract （1717）   HTML （5）    PDF（pc） （2493KB）（355）       Knowledge map    Save Under the low-carbon development goal, energy storage allocation is the key measure to ensure the safe and economic operation of low-carbon parks, and to reduce carbon emissions. To solve the problems of inaccurate carbon emission calculation and insufficient utilization of equivalent energy storage resources in low-carbon parks, this paper proposes a dynamic emission factor calculation method based on the carbon emission flow theory, which realizes the accurate measurement of indirect carbon emissions from park electricity consumption. Then, taking into account the available equivalent energy storage resources in the park, it proposes an energy storage capacity optimization allocation model considering the equivalent energy storage characteristics of thermal system, and uses the big M method to equivalently transform the nonlinear constraints in the model. Finally, it conducts simulation analysis based on a case system to verify the correctness and effectiveness of the proposed model. 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 （1708）   HTML （7）    PDF（pc） （4615KB）（466）       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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Droop-Free Distributed Energy Storage Control Based on Diffusion Algorithm MI Yang, ZHANG Haojie, QIAN Yiming, XING Haijun, GONG Jinxia, SUN Gaiping Journal of Shanghai Jiao Tong University    2024, 58 (6): 836-845.   DOI: 10.16183/j.cnki.jsjtu.2022.487 Abstract （1707）   HTML （5）    PDF（pc） （4743KB）（191）       Knowledge map    Save A droop-free distributed energy storage control strategy based on the diffusion algorithm is proposed to address the inability of droop control to simultaneously achieve bus voltage stability and accurate power distribution among energy storage systems when the line impedance is mismatched and bus voltage is inconsistent. First, the diffusion algorithm is applied to the distributed estimation of direct current (DC) microgrid to obtain the global average, and the difference between the voltage rating and the average voltage is used as a compensation term to restore the bus voltage deviation. Then, in order to achieve the accurate distribution of power between energy storage systems with different rated capacities and different states of charge (SOC), a standard power of energy storage is designed and the difference between the standard power and the average standard power is used as a compensation term for the equilibrium of SOC between energy storage systems. Finally, a model based on RT-LAB is built to verify the effectiveness of the designed control strategy in four different operating modes. The experimental results show that the proposed control strategy can achieve the bus voltage recovery and the accurate distribution of energy storage power in the isolated DC microgrid. 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 （1683）   HTML （25）    PDF（pc） （973KB）（131）       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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Numerical Study on Collection and Environmental Disturbance Characteristics of Different Nodule Collecting Models LI Yuyao, ZHAO Guocheng, XIAO Longfei Journal of Shanghai Jiao Tong University    2024, 58 (7): 1036-1046.   DOI: 10.16183/j.cnki.jsjtu.2023.023 Abstract （1646）   HTML （5）    PDF（pc） （6683KB）（340）       Knowledge map    Save It is a significant technical challenge to exploit deep-sea polymetallic nodules with high efficiency and low disturbance. The mechanical behavior of seabed nodule collecting is very complicated, which is a multi-physical coupling process involving three-dimensional turbulent flow, discrete particle movement, and fine particle soil failure. In this paper, three main deep-sea hydraulic nodule collecting methods, i.e., the suck-up-based method, the Coandă-effect-based method, and the double-jet hydraulic method, are investigated by numerical simulation on the performance of nodule collecting and environmental disturbance. The realizable K-Epsilon two-layer model and the discrete element method are used to simulate the turbulent flow of the liquid phase and nodule particles in the solid phase respectively. The effect of collection flow qm and drag velocity v on collection rate η, turbulent kinetic energy k, and volume fraction φ of the seawater-sediment mixture in the collecting flow field is analyzed. The flow velocity, pressure, and nodule distribution are explored. The results indicate that, at the same qm and v, the double-jet hydraulic model will achieve the largest η, while the suck-up-based model will achieve the least η. The double-jet hydraulic model has the most significant disturbance to the near-bottom flow field and the most obvious sediment spreading phenomenon. In contrast, the suck-up-based model and the Coandăeffect-based model have less environmental disturbance, which is more conducive to the requirements of environmental protection. The Coandă-effect-based model shows minor sensitivity to qm and v and a good balance between high nodule collecting efficiency and low environmental disturbance. This paper will provide a scie.pngic basis for revealing the nodule collecting mechanism and designing and developing a nodule collecting device. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Dynamic Response Difference of Single Pile and Pile Group with Variable Section in Variation of Seismic Subsidence Soil Layer FENG Zhongju, WANG Wei, ZHANG Cong, ZHU Jixin, WANG Yiran, MENG Yingying Journal of Shanghai Jiao Tong University    2024, 58 (7): 1086-1096.   DOI: 10.16183/j.cnki.jsjtu.2022.435 Abstract （1646）   HTML （5）    PDF（pc） （12316KB）（56）       Knowledge map    Save In order to study the difference of dynamic response between large diameter variable section single pile and pile group foundations in seismic subsidence soil with different thicknesses under ground motion, based on the Xiang’an Bridge of Xiamen Second East Channel, a shaking table model test was conducted to study the difference of dynamic response of soil subsidence, horizontal displacement of pile top, acceleration of pile body and bending moment between single pile and pile group foundation when the thickness of seismic subsidence soil layer is 30, 40, and 50 cm. The results show that with the increase of the thickness of seismic subsidence layer, the seismic subsidence, horizontal displacement of pile top, acceleration and bending moment of single pile and pile group foundations increase gradually, and the acceleration and bending moment change abruptly at variable section. In the seismic subsidence layer with the same thickness, the seismic subsidence of soil around pile group foundation is larger than that of single pile, but the acceleration of pile group foundation, horizontal displacement of pile top and bending moment of pile body are smaller than those of single pile. It is suggested that in the design of pile foundation in seismic subsidence site, the difference of dynamic response between variable section single pile and pile group should be mainly considered to ensure the seismic performance of pile foundation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Key Technologies and Applications of Shared Energy Storage SONG Meng, LIN Gujing, MENG Jing, GAO Ciwei, CHEN Tao, XIA Shiwei, BAN Mingfei Journal of Shanghai Jiao Tong University    2024, 58 (5): 585-599.   DOI: 10.16183/j.cnki.jsjtu.2022.360 Abstract （1606）   HTML （36）    PDF（pc） （4173KB）（549）       Knowledge map    Save Under the goal of “carbon peaking and carbon neutrality”, the penetration rate of renewable energy continues to rise, whose volatility, intermittency, and uncertainty pose significant challenges to the safe and stable operation of the power system. As a typical application of the sharing economy in the field of energy storage, shared energy storage (SES) can maximize the utilization of resources by separating the “ownership” and “usage” of energy storage resources, which provides a new solution to the problem of imbalance between supply and demand caused by the large-scale integration of renewable energy into the grid, and has broad development prospects. The business model of SES is explored based on value positioning, cost modeling, and profitability strategies, and a detailed summary of SES trading varieties, operational structure, and engineering applications is discussed. Finally, the future trend of shared energy storage is discussed and envisioned. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Multi-Time Scale Probabilistic Production Simulation of Wind-Solar Hydrogen Integrated Energy System Considering Hydrogen Storage FAN Hong, XING Mengqing, WANG Lankun, TIAN Shuxin Journal of Shanghai Jiao Tong University    2024, 58 (6): 881-892.   DOI: 10.16183/j.cnki.jsjtu.2022.379 Abstract （1583）   HTML （6）    PDF（pc） （3966KB）（252）       Knowledge map    Save The uncertainty of wind power output and the difficulty of power storage restrict the development of new energy. As a high-quality secondary energy, hydrogen energy is green and pollution-free and has a high energy density. In order to cope with the volatility and randomness of new energy output, this paper proposes a multi-time scale probabilistic production simulation method for wind-solar hydrogen integrated energy system considering hydrogen storage. First, thermal energy recovery is considered in the hydrogen storage system model, and the wind-solar hydrogen integrated energy system model including electrothermal hydrogen multiple energy storage is constructed. Then, multi-time scale probabilistic production simulation is conducted for the wind-solar hydrogen integrated energy system, and the system maintenance arrangement and hydrogen storage seasonal distribution scheme are obtained through medium and long-term production simulation. The simulation results are taken as the boundary for short-term production simulation to achieve the cooperation of electrothermal hydrogen multiple energy storage and to smooth the random fluctuation of wind and solar power. Finally, an IEEE-RTS79 node example is given to verify that the proposed method can improve the reliability, flexibility and low-carbon feature of system operation. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(2)

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Short-Term Interval Forecasting of Photovoltaic Power Based on CEEMDAN-GSA-LSTM and SVR LI Fen, SUN Ling, WANG Yawei, QU Aifang, MEI Nian, ZHAO Jinbin Journal of Shanghai Jiao Tong University    2024, 58 (6): 806-818.   DOI: 10.16183/j.cnki.jsjtu.2022.511 Abstract （1580）   HTML （10）    PDF（pc） （2987KB）（276）       Knowledge map    Save Aimed at the intermittency and fluctuation of photovoltaic output power, a short-term interval prediction model of photovoltaic power is proposed. First, the model uses the complete ensemble empirical mode decomposition of adaptive noise (CEEMDAN) to decompose the historical photovoltaic output data into different components and define them as time-series components and random components according to their correlation with time-series features such as declination and time angles. Then, the long short-term memory (LSTM) neural network and the support vector regression (SVR) model optimized by the gravitational search algorithm (GSA) are used to predict the time series components and the random components respectively, and the prediction results of the time series components and the random components are superimposed to obtain the point prediction result. After the error is subjected to Johnson transformation and normal distribution modeling, the photovoltaic power interval prediction result is obtained. Finally, the effectiveness of the method is verified by an example. The comparison of the proposed model with other existing prediction models under different weather conditions suggests that the proposed model has a higher accuracy and a better robustness, which can provide precise confidence intervals based on point prediction values. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Horizontal Dynamic Response of Pile Group Foundation in Liquefied Soil Under Vertical Load HU Anfeng, CHEN Yiyang, XIAO Zhirong, CHEN Zheng Journal of Shanghai Jiao Tong University    2024, 58 (7): 1075-1085.   DOI: 10.16183/j.cnki.jsjtu.2023.007 Abstract （1567）   HTML （9）    PDF（pc） （1797KB）（216）       Knowledge map    Save The horizontal vibration model of partially buried pile group under vertical load is established based on Biot saturated porous media theory, considering the flow characteristics of liquefied soil. Considering the pile-soil coupling and continuous displacement conditions, the pile interaction factor solutions and the horizontal dynamic pile impedance solutions in liquefied soil under complex conditions are obtained using the variable separation method and the operator decomposition method. Parameter studies are conducted on liquefied soil characteristics and vertical loadings. The results show that at the same vibration frequency, the horizontal dynamic.pngfness of pile group decreases with the increase of surface liquefied soil thickness. When the liquefaction thickness is large, the dynamic.pngfness decreases significantly with the increase of frequency, and a negative.pngfness appears. Vertical pile top loading can reduce the dynamic.pngfness of pile group in liquefaction soils. The weakening effect becomes more obvious with the increase in the thickness of liquefied soil. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Depth Distribution Characteristics of Particle Velocity Field Intensity in Shallow Sea ZHANG Haigang, XIE Jinhuai, LIU Jiaqi, GONG Lijia, LI Zhi Journal of Shanghai Jiao Tong University    2024, 58 (7): 995-1005.   DOI: 10.16183/j.cnki.jsjtu.2023.073 Abstract （1521）   HTML （6）    PDF（pc） （6512KB）（1228）       Knowledge map    Save The depth distribution characteristics of particle velocity field intensity have had a significant impact on underwater acoustic detection and estimation. In this paper, based on the approximate conditions of the incoherent normal modes sum transformation to angular integration, the angular integration form of incoherent normal modes of particle velocity was derived, which avoided the complex calculations of eigenvalues and eigenfunctions while revealing the physical mechanism behind the significant variations in particle velocity intensity with source depth and symmetrical depth. The numerical results demonstrate that the analytical expression of the angular integration of incoherent particle velocity can facilitate fast computation and effectively characterize the depth distribution characteristics of particle velocity intensity. Additionally, due to the superposition effect of the amplitude function of normal modes, there are notable differences in the depth distribution of vertical and horizontal particle velocity. Subsequently, focusing on the intensity difference of particle velocity, the study analyzed the effects of parameters such as horizontal distance, source frequency, sound speed profile, and water depth on the depth distribution characteristics of particle velocity field intensity. The findings provide a theoretical basis for passive target depth estimation based on vector fields. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Low-Carbon Planning for Buildings Considering Ladder Carbon Reward and Punishment and Integrated Demand Response SHANG Mengqi, GAO Hongjun, HE Shuaijia, LIU Junyong Journal of Shanghai Jiao Tong University    2024, 58 (6): 926-940.   DOI: 10.16183/j.cnki.jsjtu.2022.527 Abstract （1498）   HTML （8）    PDF（pc） （3083KB）（225）       Knowledge map    Save With the rapid development of commercial complexes in recent years, energy consumption and carbon emissions of buildings are growing continuously. In this context, the low-carbon planning of commercial complexes is studied including shopping, restaurants, offices, and accommodation. In addition, a low-carbon planning model for building considering ladder carbon reward and punishment with the introduction of the time-sharing carbon measurement model of superior network power purchase and an integrated demand response (IDR) considering the differentiated predicted mean vote (PMV) of each functional area of the building is established. First, the time-sharing carbon measurement model of superior network power purchase is introduced to evaluate the equivalent carbon emissions of the building. Then, a ladder carbon reward and punishment model is built to measure the carbon emissions of the building. Based on the characteristics of the commercial complex planned in this paper, the IDR considering load time shifting and energy use reduction, end-use energy equipment substitution, and energy use type conversion at the superior energy end is constructed. Afterwards, a low-carbon planning model for building is established to determine the equipment type and capacity considering the PMV for each functional area of the building. Especially, the objective function is to optimize the total annual planning cost of the building by taking into account carbon reward and punishment costs of the building. A distributionally robust optimization model based on Kullback-Leibler divergence is proposed to cope with the output volatility of the connected distributed photovoltaic and photovoltaic curtain wall. Finally, the effects of the ladder carbon reward and punishment mechanism of the time-sharing carbon measurement model of superior network power purchase, the IDR of the differentiated PMV of each functional area of the building, and the volatility of the connected photovoltaic output on the building planning are analyzed to verify the effectiveness of the planning model proposed for energy saving and emission reduction in the building. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Research progress on agranulocytosis caused by antithyroid drugs TIAN Ruochen, LI Jing Journal of Internal Medicine Concepts & Practice    2024, 19 (04): 264-268.   DOI: 10.16138/j.1673-6087.2024.04.09 Abstract （1428）   HTML （4）    PDF（pc） （970KB）（31）       Knowledge map    Save In China, antithyroid drugs are the first choice of treatment for hyperthyroidism. However, their side effects may result in agranulocytosis, which has an insidious onset and requires urgent treatment. Up to date，the mechanisms of agranulocytosis caused by antithyroid drugs is still unclear. Herein, the article reviewed the direct toxic activities, the immune effects, and the genetic susceptibility of antithyroid drugs, which may be helpful to provide better clinical treatment options and improve the prognosis of agranulocytosis caused by the drugs. Reference | Related Articles | Metrics | Comments（0）

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A Data-Driven Method Embedded with Topological Information for Voltage-Power Sensitivity Estimation in Distribution Network LIU Shu, ZHOU Min, GAO Yuanhai, XU Xiaoyuan, YAN Zheng Journal of Shanghai Jiao Tong University    2024, 58 (6): 855-862.   DOI: 10.16183/j.cnki.jsjtu.2022.485 Abstract （1388）   HTML （9）    PDF（pc） （2674KB）（190）       Knowledge map    Save The multicollinearity of measurement data leads to the low accuracy of the data-driven methods for estimating voltage-power sensitivity in distribution networks. In this paper, a data-driven method embedded with topological information is proposed to address the problem. First, the voltage-power sensitivity matrix is decomposed into principal and secondary components, where the principal component is closely related to the distribution network topology and the secondary component is the error between the principal component and the actual value. Then, the principal and secondary components are estimated sequentially in two stages, and their data-driven estimation models based on quadratic programming are established, respectively. The key of the model in the first stage is the constraint based on the distribution network topology information, and the key of the model in the second stage is the constraint that the ratio of the secondary component to the principal component is tiny. Finally, the accuracy and efficiency of the proposed method is validated in the IEEE 33-bus system with a set of measurement data, and comparisons are made with ordinary least square regression, ridge regression, and LASSO regression. The simulation results show that the accuracy of the proposed method is significantly improved by orders of magnitude. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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TPE-Based Boosting Short-Term Load Forecasting Method LUO Min, YANG Jinfeng, YU Hui, LAI Yuchen, GUO Yangyun, ZHOU Shangli, XIANG Rui, TONG Xing, CHEN Xiao Journal of Shanghai Jiao Tong University    2024, 58 (6): 819-825.   DOI: 10.16183/j.cnki.jsjtu.2022.483 Abstract （1364）   HTML （15）    PDF（pc） （3058KB）（320）       Knowledge map    Save Short-term load forecasting is generally applied in power system real-time dispatching and day-ahead generation planning, which is of great significance for power system economic dispatching and safe operation of the system. Many researches on short-term load forecasting using smart models have been conducted at home and abroad. However, how to obtain the optimal structure and parameters accurately and quickly poses a challenge to short-term load forecasting, because the prediction performance of smart forecasting methods is more easily affected by the structure and parameters of the method, and the personality difference of the prediction object itself makes it difficult for the parameters to be reused. Aiming at this problem, a tree-structured Parzen estimator (TPE)-based boosting short-term load forecasting method is proposed. The results show that the proposed method can achieve rapid optimization of structure and parameters, which is verified in the application in short-term load forecasting of a southern province in China to improve the prediction accuracy. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Coordinated Active Power-Frequency Control Based on Safe Deep Reinforcement Learning ZHOU Yi, ZHOU Liangcai, SHI Di, ZHAO Xiaoying, SHAN Xin Journal of Shanghai Jiao Tong University    2024, 58 (5): 682-692.   DOI: 10.16183/j.cnki.jsjtu.2022.358 Abstract （1359）   HTML （10）    PDF（pc） （2823KB）（394）       Knowledge map    Save The continuous increase in renewables penetration poses a severe challenge to the frequency control of interconnected power grid. Since the conventional automatic generation control (AGC) strategy does not consider the power flow constraints of the network, the traditional approach is to make tentative generator power adjustments based on expert knowledge and experience, which is time consuming. The optimal power flow-based AGC optimization model has a long solution time and convergence issues due to its non-convexity and large size. Deep reinforcement learning has the advantage of “offline training and online end-to-end strategy formation”, which yet cannot ensure the security of artificial intelligence (AI) in power grid applications. A coordinated optimal control method is proposed for active power and frequency control based on safe deep reinforcement learning. First, the method models the frequency control problem as a constrained Markov decision process, and an agent is designed by considering various safety constraints. Then, the agent is trained using the example of East China Power Grid through continuous interactions with the grid. Finally, the effect of the agent and the conventional AGC strategy is compared. The results show that the proposed approach can quickly generate control strategies under various operating conditions, and can assist dispatchers to make decisions online. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Undrained Solution for Cylindrical Cavity Expansion in Structured Soils Incorporating Destructuration Effect ZHAI Zhanghui, ZHANG Yaguo, XIAO Shuxiong, LI Tonglu Journal of Shanghai Jiao Tong University    2024, 58 (7): 1097-1107.   DOI: 10.16183/j.cnki.jsjtu.2022.381 Abstract （1344）   HTML （6）    PDF（pc） （2395KB）（143）       Knowledge map    Save The cavity expansion theory provides a theoretical basis for the displacement prediction of the installed piles and the analysis of pressuremeter test results. However, there is a lack of systematic analysis of the influences of soil structure in the existing solutions. In this paper, based on the Cemented-CASM considering the cementation effect, an elastoplastic solution for the cylindrical cavity expansion under undrained condition was presented by deriving the elastic-plastic.pngfness matrix reflecting the soil stress-strain relationship in combination with the hardening laws and larger-strain theory. To verify the validation of the present solution, it was compared with the solution in Modified Cam Clay soils when ignoring the soil structure and compared with the numerical results of pressuremeter tests when the soil structure was considered. Parametric analyses were conducted to illustrate the effects of soil structure and destructuration on the cavity expansion process. The results show that the effective stresses and pore water pressure caused by the cavity expansion in structured soils are larger than those in reconstituted soils, while the plastic range around the cavity becomes smaller due to the soil structure. With the damage of the structure, the soil exhibits a strain softening behavior, while the radial stress increases and then decreases as the distance from the cavity wall decreases. When the soil structure is completely destroyed, the effective stresses around the cavity are consistent with those in the reconstituted soils. As the soil structure strengthens, destructuration become faster under the same variation in cavity expansion pressure or cavity radius, and the strain softening behavior becomes more pronounced. Table and Figures | Reference | Related Articles | Metrics | Comments（0）