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    Optimization Configuration of Battery Storage Coordinated with Differentiated Frequency Regulation Strategy of Wind, Solar, and Thermal Power
    CHENG Haowen, LI Kecheng, LIU Lu, CHENG Haozhong, SANG Bingyu
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1407-1418.   DOI: 10.16183/j.cnki.jsjtu.2024.334
    Abstract3264)   HTML59)    PDF(pc) (2168KB)(627)       Save

    Diversified frequency regulation resources are an effective and inevitable approach for addressing frequency safety issues in new power system. Based on a differentiated frequency regulation strategy that coordinates wind power, photovoltaic (PV), thermal power, and energy storage, this paper proposes a source-side battery energy storage system (BESS) optimization method under multiple scenarios by coupling long-term planning with short-term unit commitment. Joint frequency regulation strategies for thermal-storage, wind-storage, and PV-storage systems are developed, refining various functional roles of supporting battery storage to enhance flexibility during frequency regulation. The optimization configuration model aims to minimize both the investment and operational costs of wind-solar-thermal-storage systems. Frequency response capacity available from the power system is set as a security constraint, and high-order multi-machine time-domain simulations are used to verify and iterate frequency security margins in the solution process. The proposed method is validated using an improved IEEE 24-bus system. The results show that battery energy storage can flexibly switch between smoothing fluctuations, reducing renewable energy curtailment, and participating in system frequency regulation.

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    Optimization of Geometrical Parameters of Coandă-Effect-Based Polymetallic Nodule Collection Device
    ZHANG Baiyuan, ZHAO Guocheng, XIAO Longfei
    Journal of Shanghai Jiao Tong University    2025, 59 (8): 1059-1066.   DOI: 10.16183/j.cnki.jsjtu.2023.470
    Abstract3194)   HTML40)    PDF(pc) (3985KB)(1064)       Save

    The collection of seabed ore particles is a core technology of exploiting deep sea mineral resources, with wall-attached jet collection technology based on Coandă-effect being considered as a nodule collection method with engineering application potential. Based on the experimentally verified CFD-DEM numerical simulation, the optimization of geometric parameters of the collection device is conducted to improve pick-up efficiency. The influences of three geometric parameters, i.e., the ratio of the curvature radius of the convex curved wall to the diameter of the nodule particle R/d, the tangential radian of the jet θ, and the ratio of the thickness of the jet to the diameter of the nodule b/d on the critical unconditional jet flow rate q0, are investigated and compared. The nodule collection characteristics are revealed through an analysis of the flow field characteristics. The results show that b/d has the greatest influence on the pick-up efficiency, followed by R/d, while θ has the least. The performance of nodule collection is optimal when R/d=9, θ=1.05 rad, and b/d=0.26 in contrast conditions. This research provides technical support for designing and developing the Coandă-effect-based collection devices.

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    Energy Interaction and Energy Storage Sharing Optimization Method for Users, Base Stations, and Charging Stations
    HU Long, FANG Baling, FAN Feilong, CHEN Dawei, LI Xinxi, ZENG Run
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 877-888.   DOI: 10.16183/j.cnki.jsjtu.2023.407
    Abstract3091)   HTML25)    PDF(pc) (5843KB)(798)       Save

    The internal energy optimization within a single entity of industrial users, base stations, and charging stations is constrained by local power supply and demand limitations, resulting in low utilization of flexible resources such as energy storage and insufficient energy utilization efficiency. To address these issues, an energy sharing and interactive optimization method is proposed for industrial users, base stations, and charging stations based on the quantification of their complementarity and a game-based pricing incentive mechanism. First, a complementary quantification model is developed based on the analysis of the characteristics of industrial users, base stations, and charging stations, using the standard deviation of net load as a complementary indicator. Then, considering the adjustable capabilities of air conditioning and electric vehicles, as well as the proactive decision-making abilities of industrial users, charging stations, and base stations, a master-slave game-based pricing model is established to incentivize the sharing of energy storage and energy interaction among these entities. Next, incorporating 0-1 integer variables, a solution method utilizes the adaptive differential evolution algorithm combined with the mixed-integer optimization theory. Finally, case studies validate that optimizing the energy storage and energy dispatch of industrial users, base stations, and charging stations in different time periods can effectively leverage their complementarity, enhance the economic benefits of each entity, improve the utilization of idle flexible resources, and enhance the overall energy self-consistency of the system.

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    Mode Transition Control of Parallel Gas-Electric Hybrid Power System with Uncertain Delay
    FU Shenglai, CHEN Li, CHEN Ziqiang
    Journal of Shanghai Jiao Tong University    2025, 59 (9): 1225-1236.   DOI: 10.16183/j.cnki.jsjtu.2023.473
    Abstract3038)   HTML20)    PDF(pc) (6267KB)(701)       Save

    Parallel gas-electric hybrid systems have broad application prospects in low-carbon ships due to their few emissions and dynamic performance. However, uncertain delays in multiple actuators during mode transition can cause violent fluctuations in the shaft speed along the power drive. In this paper, a cascaded internal mode control (IMC) consisting of filters with explicit nominal delay is proposed to improve speed tracking performance and eliminate the effect of delay. A dynamic model of the marine driveline is developed, and the cascade IMC is designed based on the driveline mechanism with the clutch serving as the separating component. The cascade IMC consists of an anti-saturation compensator, a two-stage tracking controller, and a two-stage anti-interference controller. Finally, the small-gain theorem is derived to ensure robust stability conditions, taking the upper bound of the uncertain delays into consideration. The results of simulation and dynamometer test show that the cascaded IMC has excellent robustness in handling uncertain delays, significantly reduces shaft jerk, and ensures smooth mode transition.

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    Structural Dynamic Response of Offshore Horizontal Axis Wind Turbine Subjected to Wake-Induced Action
    ZHU Yiqing, WU Feng, ZHOU Dai, HAN Zhaolong, ZHUO Yang, ZHU Hongbo, ZHANG Kai
    Journal of Shanghai Jiao Tong University    2025, 59 (8): 1081-1091.   DOI: 10.16183/j.cnki.jsjtu.2023.476
    Abstract2966)   HTML16)    PDF(pc) (12106KB)(772)       Save

    The study of the dynamic response of a horizontal axis twin wind turbine in tandem arrangement is crucial for ensuring the structural safety of the wind turbine. Based on the computational fluid dynamics (CFD) method, the characteristics of the wake flow field of the downstream turbine, located in the near wake region of the upstream turbine, are analyzed. The time course curves of the aerodynamic loads on the twin turbines are obtained. Structural dynamics and finite element numerical methods are then used to analyze the wind-driven dynamic effects of the upstream and downstream turbine structures. It is found that the wake velocity deficit in the near wake region is significant, causing a reduction in thrust and torque of the downstream turbine by 54.94% and 91.89% respectively. Additionly, the wake turbulence increases cyclic fluctuation of aerodynamic load on the downstream turbine. While the aerodynamic load volatility has a small effect on the dynamic response of the downstream wind turbine, the overall dynamic response is weaker, and the displacement of the downstream wind turbine tower top in the thrust direction is reduced by 50.79%. The results provide technical references for the analysis of aerodynamic response of wind turbine cluster structures in offshore wind farms.

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    Experimental Study on Vortex-Induced Vibration Force Characteristics of Side-by-Side Double Free-Hanging Water Transmission Pipes Under Uniform Flow
    ZHAO Guangyi, ZHANG Mengmeng, FU Shixiao, XU Yuwang, REN Haojie, BAI Yingli
    Journal of Shanghai Jiao Tong University    2025, 59 (8): 1067-1080.   DOI: 10.16183/j.cnki.jsjtu.2023.539
    Abstract2960)   HTML15)    PDF(pc) (32003KB)(1044)       Save

    This paper investigates vortex-induced vibration (VIV) characteristics of double free-hanging water transmission pipes, which are crucial for temperature difference energy harvesting platforms. Compared to a single pipe, double pipes could offer higher transport efficiency and cost-effectiveness. In this paper, model experiments were conducted to analyze VIV characteristics of the double free-hanging pipes and a method for identifying vortex-induced loads for large displacements and small deformations was proposed. A comparative analysis of the VIV characteristics of double free-hanging pipe and the single pipe was performed. The findings show that VIV displacement amplitudes of double free-hanging pipe are similar at low flow velocities but differ with those of single pipe at high velocities. The double free-hanging pipe is more prone to instability in VIV, including traveling waves and multi-frequency responses. The VIV frequencies of double free-hanging pipe can be predicted by the same Strouhal number as that of the single pipe. Additionally, a significant difference in the added mass coefficient affects natural wet frequency adjustment for VIV resonance.

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    From Kill Chain to Kill Web: A Survey on Modeling, Evaluation, and Optimization
    WANG Chaochen, JIANG Hongru, WANG Buli, XIA Qiaowei, ZHANG Xianchun
    Air & Space Defense    2025, 8 (4): 1-8.  
    Abstract2955)      PDF(pc) (992KB)(2278)       Save
    This paper comprehensively and systematically analyzed the theoretical evolution, model construction, effectiveness evaluation, and optimization methodologies of kill chains and webs. First, the fundamental distinctions between kill chains and kill webs were introduced via conceptual comparative analysis. Then, from the perspective of four key modeling challenges: structured information representation, cooperative system optimization, dynamic adaptability, and intelligent decision-making, the construction mechanisms and technological breakthroughs of various models were investigated. Quantitative evaluation methods for key dimensions, including survivability, resilience, and node importance, were summarized. Following this, strategies for dynamic reconstruction optimization and multi-objective conflict resolution were studied. Finally, future development trends of kill chains and kill webs were projected.
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    Feature Extraction and Anomaly Identification Method for Power Customer Price in Power Market Enviroment
    ZHU Feng, SHAN Chao, WU Ning, CAI Qixin, ZHU Yunan, LIU Yunpeng, ZUO Qiang
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 995-1006.   DOI: 10.16183/j.cnki.jsjtu.2023.448
    Abstract2902)   HTML16)    PDF(pc) (2218KB)(782)       Save

    Identifying electricity price anomalies and exploring the underlying reasons in such a complex market environment, especially with incomplete data, is a key issue for promoting the orderly operation of power market and ensuring the reasonable interests of power customers. Therefore, a method is established for feature extraction and anomaly identification of electricity prices for power customers. First, an electricity price feature vector is constructed, and its dimensionality is reduced using a spectral clustering algorithm. Then, typical electricity price characteristics are extracted as the basic standard for determining price anomalies. Next, the similarity between each power customer and typical electricity price characteristics is calculated. Finally, electricity price anomalies are identified in two stages. The causes of anomalies are initially and rapidly identified based on electricity consumption and trading behavior, and then further identified in-depth. Case analysis shows that this method can quickly and effectively extract typical electricity price features and identify anomalies. The reasons behind these anomalies are further analyzed from both electricity consumption and trading behaviors, and corresponding improvement measures are proposed.

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    Structural Simulation Model Updating Based on Improved MCMC Algorithm and Surrogate Model
    MIAO Ji, DUAN Liping, LIU Jiming, LIN Siwei, ZHAO Jincheng
    Journal of Shanghai Jiao Tong University    2025, 59 (8): 1114-1122.   DOI: 10.16183/j.cnki.jsjtu.2023.584
    Abstract2897)   HTML17)    PDF(pc) (9290KB)(927)       Save

    To enhance the accuracy of finite element model simulation, a model updating method based on Bayesian theory is proposed, and the updating efficiency is improved by integrating improved Markov chain Monte Carlo (MCMC) algorithm and surrogate model. A radial basis function (RBF) surrogate model is constructed using the parameters to be updated as inputs and the finite element model modal responses as outputs. Whale optimization algorithm (WOA) is introduced into the MCMC algorithm and the uncertain parameters are updated. Finally, a numerical study on a simply supported beam and an experimental study on a three-story steel frame are conducted to verify the accuracy of the proposed method. The results show that WOA can significantly improve the stability and convergence speed of the MCMC algorithm, the updating efficiency can be improved by 13.9% at most, and the maximum frequency errors of the simply supported beam model and the three-story steel frame model updated by the WO-MH algorithm are 0.009% and 2.41%, respectively. The proposed model updating method can effectively enhance the simulation accuracy of the finite element model under both two-dimensional and eight-dimensional inputs, which provides technical reference for lean simulation and optimal design of building structures.

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    Low-Carbon Energy Management in Active Distribution Networks Based on Dynamic Carbon Entropy
    WU Dongge, CHANG Xinyue, XUE Yixun, HUANG Yuxi, SU Jia, LI Zening, SUN Hongbin
    Journal of Shanghai Jiao Tong University    2025, 59 (12): 1795-1804.   DOI: 10.16183/j.cnki.jsjtu.2024.262
    Abstract2867)   HTML6)    PDF(pc) (4000KB)(427)       Save

    In the context of energy transition and “carbon peak and carbon neutrality” goal, active distribution networks in the new power system can achieve scalable energy conservation and emissions reduction by increasing the penetration of renewable energy and leveraging demand-side management. To this end, a two-stage low-carbon energy management strategy for active distribution networks based on dynamic carbon entropy theory is proposed, using carbon price as a price signal to guide flexible loads in participating in low-carbon demand response. First, the carbon entropy model is analyzed, and a carbon entropy model considering energy storage is established to refine the carbon emission characteristics on the demand side. Then, an evaluation index of node carbon potential is proposed to evaluate the cleanliness of carbon emission of the system. Next, a two-stage low-carbon optimization scheduling model is developed for active distribution networks based on the dynamic carbon entropy. By utilizing the time-of-use electricity prices and node carbon prices as guiding signals, the model promotes the renewable energy consumption, reduces system carbon emissions, and achieves a certain peak-shaving and valley-filling effect. Finally, multiple scenarios are set up in the IEEE 33-node system to validate the effectiveness and superiority of the proposed low-carbon energy management model. The results show that the proposed strategy can achieve low-carbon energy management in active distribution networks.

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    Interpretation of global stroke report data in 2025: gradient evolution and precise management of stroke burden
    TANG Chunhua, GUO Lu, ZHANG Lili
    Journal of Diagnostics Concepts & Practice    2025, 24 (05): 485-497.   DOI: 10.16150/j.1671-2870.2025.05.003
    Abstract2834)   HTML208)    PDF(pc) (777KB)(3226)       Save

    In 2021, there were 93.816 million prevalent cases of stroke worldwide [age-standardized prevalence rate(ASPR) 1 099/100 000], with 11.946 million new cases in that year [age-standardized incidence rate(ASIR) 142/100 000]. Among these new cases, ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) accounted for 65.3% (7.804 million), 28.8% (3.444 million), and 5.8% (0.697 million), respectively. In the same year, stroke caused 7.253 million deaths, accounting for 10.7% of all global deaths. Deaths caused by IS, ICH, and SAH accounted for 49.5% (3.591 million), 45.6% (3.308 million), and 4.9% (353 000), respectively. In 2021, stroke remained the second leading cause of death worldwide, with its core disease burden indicator — disability-adjusted life years (DALYs) — exceeding 160 million, ranking third among all global total disease burdens. In terms of economic burden, the global direct medical costs and productivity losses caused by stroke reached 890 billion USD in 2021 (accounting for 0.66% of the global GDP), and are projected to exceed 1.8 trillion USD by 2050 if the current growth rate persists. The global stroke burden exhibits a dual trend of "increasing absolute numbers but decreasing age-standardized rates". Low- and middle-income countries bear most of the disease burden, and the incidence of stroke shows a coexistence of younger and older onset. In terms of risk factors, the burden of traditional behavior-related risks has decreased, while the attributable burden of metabolic and climate-related risks is rapidly increasing. China bears the heaviest stroke burden globally, characterized by a “four-high” pattern of “high incidence, high prevalence, medium-to-high mortality, and medium-to-high DALYs”, with significant urban-rural and regional disparities. This condition results from the combined effects of accelerated population aging and continuously increasing exposure to risk factors. In 2021, there were 26.335 million prevalent cases in China, with ASPR of 1 301.4/100 000. In 2021, there were 4.09 million new stroke cases in China (ASIR 204.8/100 000), accounting for 34.2% of all new global cases—far exceeding China's proportion of the world's population (about 20%). IS accounted for 67.8% [2.772 million cases, age-standardized incidence rate (ASIR) 135.8/100 000], and ICH accounted for 28.7% (1.173 million cases, ASIR 61.2/100 000). The annual total economic burden of stroke in China has exceeded 400 billion RMB, with its proportion in the national healthcare expenditure continuing to increase. Direct medical costs account for about 60%, while indirect costs (including productivity losses and caregiving expenses) account for 40%, imposing a dual pressure on both society and families. To address this challenge, a stratified precision prevention and control system centered on the coordination of "policy-healthcare-society" should be established, covering primordial, primary, and secondary prevention levels. Emphasis should be placed on cross-sector collaboration, data-driven approaches, and international experience sharing to achieve effective control of the stroke burden and promote global health equity.

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    Automatic Mapping Method for Power Supply Units in Medium-Voltage Distribution Networks Based on Generative Adversarial Network
    CHEN Jinming, JIANG Wei, WANG Zhiwei, ZHU Zhenhan, CHEN Ye, ZHAO Yanchao
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1431-1441.   DOI: 10.16183/j.cnki.jsjtu.2023.626
    Abstract2820)   HTML14)    PDF(pc) (2937KB)(491)       Save

    With the gradual promotion of the “unit based” planning method for distribution networks, regional distribution networks have been divided into several relatively independent power supply units. However, there are multiple interconnecting lines within the power supply units, and the complexity of the structure makes the mapping of power supply units more difficult. The heuristic automated mapping methods based on rules and force orientation are inefficient and relies on manual intervention, which cannot adapt to the complex and changing distribution network application scenarios. Therefore, this paper proposes an automatic mapping method for medium-voltage distribution network power supply units based on the mean square error condition generation adversarial network. The layout generator and genetic mutation algorithm in this method can generate and optimize the layout and connection of distribution network nodes at a fine-grained level, achieving automatic mapping at various node scales. Then, it designs an evaluation function for node layout generators, which takes topology visualization performances such as node clustering degree, line crossing, and inflection points as key evaluation indicators. This function can be used to iteratively optimize the layout generator and thereby improve the mapping effect. The experimental results show that the method proposed outperforms other heuristic layout methods in terms of mapping effect.

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    TSM-TLHS Prediction Method for Assembly Deformation of Large Curved Thin Plates in Shipbuilding
    JIN Xuancheng, HONG Ge, GAO Shuo, XIA Tangbin, HU Xiaofeng, XI Lifeng
    Journal of Shanghai Jiao Tong University    2025, 59 (8): 1092-1102.   DOI: 10.16183/j.cnki.jsjtu.2023.576
    Abstract2808)   HTML11)    PDF(pc) (17433KB)(804)       Save

    During the block assembly, large curved thin plates (such as outer plates) undergo deformation due to the force of gravity when they are placed on the jigs, which affects the accuracy and quality of the block assembly in shipbuilding. In order to predict the deformation of these large curved thin plates within a given jig layout, this paper introduces a Transformer-based surrogate model with two-stage Latin hypercube sampling (TSM-TLHS). Primarily, compared to traditional approaches, the two-stage Latin hypercube sampling (TLHS) method enables direct sampling of irregularly shaped thin plates. Simultaneously, this paper uses a Transformer-based surrogate model (TSM) incorporating multi-head attention modules and positional encoding to comprehensively consider the impact of jig positions and corresponding node displacements on thin plate deformation. Real case results demonstrate that the prediction error of this TSM-TLHS method is only 61 μm, meeting the on-site assembly precision requirements for predicting plate deformation. This facilitates timely anti-deformation compensation by block in shipyards, ensuring assembly quality.

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    Control Strategy for Improving Active Frequency Support Capability of Offshore Wind Farm
    LI Yibo, ZHOU Qian, ZHU Dandan, JIANG Yafeng, WU Qiuwei, CHEN Jian
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1442-1450.   DOI: 10.16183/j.cnki.jsjtu.2023.581
    Abstract2749)   HTML7)    PDF(pc) (1522KB)(2171)       Save

    In low frequency alternating current (AC) transmission systems, offshore wind farm is unable to respond to changes in onshore grid frequency in a timely manner due to frequency decoupling and signal transmission delays between the offshore wind power system and the onshore AC system. To address this issue, a control strategy is proposed to improve the active frequency support capability of offshore wind farms by combining the system inertia. In terms of frequency signaling, an additional frequency sag controller is designed based on the V/f control strategy of the low-frequency-side structure network of modular multilevel matrix converter (M3C), combining with the system inertia. The frequency coupling link between the M3C net side and the low-frequency side is established to realize the real-time transmission of frequency information between the two sides. In terms of frequency support, when the system is disturbed to generate frequency deviation, the offshore wind turbine can adjust the power command value through additional droop control, thereby providing frequency support for the system. Finally, the effectiveness of the proposed coordinated control strategy is verified in MATLAB/Simulink by the simulation of load change and three-phase AC short circuit fault.

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    Research on Construction Method of Digital-Intelligent Parallel Battlefield for Air Defense and Anti-Missile Based on Digital Twin
    WANG Gang, YANG Ke, QUAN Wen, GUO Xiangke, ZHAO Xiaoru
    Air & Space Defense    2025, 8 (3): 1-13.  
    Abstract2733)      PDF(pc) (1209KB)(1410)       Save
    The establishment of a digital parallel battlefield that integrates the functions of "research, combat, testing, practical operation, and training" serves as an effective and essential supporting measure for enhancing combat command and joint training capabilities, which address future intelligent high-end warfare among major powers. In the air defense and anti-missile realm, constructing a digital parallel battlefield faces several formidable challenges, including configuring complex scenarios, facilitating interactions between virtual and real forces, and simulating combat behaviours. To tackle these issues, the paper employed a digital twin modelling approach grounded in Model-Based Systems Engineering (MBSE) to enable the precise configuration of complex scenarios. Based on the Live-Virtual-Constructive (LVC) concept, a distributed simulation architecture combining virtual and real elements was established to realise seamless virtual-real interactions and efficient coordination. In addition, an Agent modelling methodology based on data/rules dual-driven was introduced to simulate intelligent combat behaviours in air defense and anti-missile operations. A multi-branch simulation deduction and auxiliary decision-making framework tailored for the parallel battlefield was constructed, achieving the organic integration of situation analysis, plan formulation, and evaluation for optimal selection. The system development was accomplished by applying the software-defined method, enabling dynamic scheduling of system resources, flexible reconfiguration, and agile deployment. The research results indicate that the newly developed digital-intelligent parallel battlefield for air defense and anti-missile, constructed by the concept of the digital twin, provides robust support for simulation applications across multiple scenarios, including equipment testing, combat experiments, joint training, and command decision-making within the domain of air defense and anti-missile.
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    Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multiple Flexible Resources
    DENG Qianwen, LI Qi, QIU Yibin, LI Doumeng, HUO Shasha, CHEN Weirong
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 912-922.   DOI: 10.16183/j.cnki.jsjtu.2023.457
    Abstract2701)   HTML15)    PDF(pc) (3023KB)(748)       Save

    Under the “carbon peaking and carbon neutrality” strategy, the penetration ratio of renewable energy is increasing, while the lack of flexible resources becomes a growing challenge. To address this and build a safe, efficient, low-carbon, and clean energy system, an integrated energy system (IES) optimization allocation method is proposed considering the joint operation of multiple flexibility resources. First, the modeling of the two stages of the power-to-gas equipment is refined, with the introducation of the coordinated operation of the hydrogen-doped gas turbine and the power-to-gas equipment to make full use of the low-carbon characteristics of H2. Carbon raw materials are provided for the power-to-gas facilities through carbon capture equipment realizing the recycling of CO2, thereby establishing a coordinated operation framework for flexible resource with hydrogen energy as the core. Then, aimed at the uncertainty of renewable energy output, the optimal clustering number is determined by Elbow method, and typical wind speed scenarios are obtained by K-means clustering algorithm. On this basis, an optimal allocation model is established with the objective of minimizing the sum of investment cost, operation and maintenance cost, replacement cost, environmental penalty, and wind abandonment penalty cost, taking into account equipment constraints, energy balance constraints, and flexibility constraints. To solve the nonlinearity, the large M method is adopted to linearize the model and complete the model solution. Finally, the method proposed is validated through an example based on measured data from a region in southwest China. The results show that the total cost of the IES is reduced by 10.22%, the penetration rate of new energy is increased by 6.01%, and the cost of environmental penalties is reduced by 2.65%. The proposed method effectively improves the economy of the system and the consumption of new energy, and significantly reduces system carbon emissions.

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    Automatic Filling Optimization Design of Filler Bodies in Umbilical Cross-Section Based on Quasi-Physical Algorithm
    YIN Xu, CAO Donghui, TIAN Geng, YANG Zhixun, FAN Zhirui, WANG Gang, LU Yucheng, WANG Hui
    Journal of Shanghai Jiao Tong University    2025, 59 (8): 1103-1113.   DOI: 10.16183/j.cnki.jsjtu.2023.588
    Abstract2674)   HTML21)    PDF(pc) (11198KB)(725)       Save

    As a key component in the subsea production system for oil and gas exploitation, a marine umbilical consists of optical cables, electrical cables, steel tubes, and filler bodies. The difference of materials and dimensions between the components leads to a great difference in their mechanical properties, and the different layouts cause a large gap in the performance of an umbilical. Considering the compactness, balance, and heat source dispersion of the cross-section, a multi-objective optimization model is established in this paper. Based on the quasi-physical algorithm, the layout design of cross-section of an umbilical containing equal-diameter components is conducted. Due to the mutual constraints between functional components, the optimized cross-section will have large gap. In order to meet the requirement of dense cross-sectional layout in the umbilical cable design specification, a strategy for automatically filling filler bodies based on image recognition is introduced, in combination with the layout optimization process. Finally, taking an umbilical as an example, the filling strategy is utilized to complete the design of cross-sectional filler bodies after obtaining the optimal layout through the quasi-physical algorithm. The algorithm is validated by comparison with the initial cross-sectional layout, demonstrating its effectiveness as a reference for the design of cross-sectional filler bodies of umbilicals.

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    Physics-Informed Fast Transient Stability Assessment of Non-Fixed Length in Power Systems
    LI Xiang, CHEN Siyuan, ZHANG Jun, KE Deping, GAO Jiemai, YANG Huanhuan
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 962-970.   DOI: 10.16183/j.cnki.jsjtu.2023.452
    Abstract2638)   HTML7)    PDF(pc) (1706KB)(1545)       Save

    Against the backdrop of “dual carbon” goals, the construction of a new power system with new energy as the main component is the main direction and key way for the transformation and upgrading of the power industry. Research into fast and accurate evaluation of transient power angle stability in the context of new power systems is of great significance. To address this, a new transient power angle stability evaluation method is proposed for power systems with grid-forming new energy based on the physics-informed sequence-to-sequence (PI-seq2seq) neural networks and cascaded convolutional neural networks models. First, the PI-seq2seq network structure is used to predict the future power angle trajectory, and a loss function with physical loss terms is constructed to guide the model training process, which avoids the long-duration time-domain simulation to ensure fast transient evaluation. Then, predicted power angle trajectory is taken as input by the cascade convolutional neural networks to evaluate the transient stability and its confidence level. A threshold judgment mechanism for the evaluation confidence level is configured to realize the transient stability judgment of the non-fixed evaluation length, which overcomes the impact of the fixed power angle curve length on the evaluation results. Finally, the method proposed is verified in the Kundur system, and the simulation results show that it has obtained satisfactory results in both the power angle curve prediction and the stability evaluation.

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    Coordinated Day-Ahead Scheduling and Real-Time Dispatch of a Wind-Thermal-Storage Energy Base Considering Flexibility Interval
    YANG Yinguo, FENG Yinying, WEI Wei, XIE Pingping, CHEN Yue
    Journal of Shanghai Jiao Tong University    2025, 59 (9): 1270-1280.   DOI: 10.16183/j.cnki.jsjtu.2023.509
    Abstract2600)   HTML6)    PDF(pc) (1483KB)(1522)       Save

    Large-scale new energy bases in desert, Gobi, and arid regions are key components of new-type power systems in China. Considering factors such as construction cost and carbon emissions, the capacities of thermal power and energy storage in these bases are limited, resulting in constrained flexibility. Consequently, the scheduling and operation of these large bases face significant challenges. This paper proposes a coordinated day-ahead and real-time scheduling method for wind-thermal-storage integrated bases. In the day-ahead stage, the startup/shutdown plans and adjustable output ranges of thermal units are determined based on a rough prediction of wind power. Then, it constructs a wind power accommodation interval based on the adjustable range of thermal power output and the operational constraints of energy storage. In the real-time stage, dispatch strategies are generated using a quantile-based rule according to current wind and solar power output, eliminating the need for high-precision forecasts. It is further demonstrated that the dispatch strategies generated by the quantile rule inherently satisfy system operational constraints. The case study validates the effectiveness of the proposed method for wind-thermal-storage systems. The results demonstrate that the proposed method, which does not rely on point prediction, outperforms rolling optimization methods when the three-step prediction error exceeds 10%. Moreover, the performance of operational scheduling can be improved by enhancing the accuracy of day-ahead or intraday short-term forecasts. The proposed method provides valuable reference for the operation of large-scale new energy bases.

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    Multi-Objective Optimization Design of Micro-Site Selection of Complex Terrain Wind Farms Assisted by Proxy Model
    LIU Jiahui, WANG Cong, ZHANG Hongli, MA Ping, LI Xinkai, DONG Yingchao
    Journal of Shanghai Jiao Tong University    2025, 59 (9): 1315-1326.   DOI: 10.16183/j.cnki.jsjtu.2023.486
    Abstract2593)   HTML12)    PDF(pc) (5456KB)(1633)       Save

    To tackle the challenges of high difficulty and time-consuming micro-site optimization of wind farms in complex terrains, a multi-objective optimization method for micro-site selection is proposed, assisted by proxy model. First, considering the geographical features of complex terrains with significent undulations, the ruggedness index is calculated and the ground flatness is numerically quantified, constraining the points with excessive ruggedness. Then, a mathematical model for three-dimensional windy downward wake superposition calculation of power generation is established, a three-dimensional terrain collector line topology optimization agent model is constructed, and the prediction accuracy of the proxy model is verified, demonstrating the ability to replace numerous calculations in collector line topology optimization and effectively improving the computing efficiency. Finally, taking a real complex terrain wind farm in Xinjiang Uygur Autonomous Region, China as an example, multi-objective micro-site selection of complex terrain wind farm is realized, and the results are compared with those obtained through the single-objective optimization. The simulation results show that the multi-objective discrete state transfer algorithm assisted by the proxy model can reduce the total cable laying length, decrease the construction costs, and provide more feasible layout schemes while optimizing the annual power generation.

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    Research Review of Electromagnetic Interference Mechanism and Anti-Interference Technology for UAVs
    GE Luqin, DING Shizhou, YAO Qiang, ZHANG Cheng, HUANG Yuchen
    Air & Space Defense    2025, 8 (4): 51-55.  
    Abstract2555)      PDF(pc) (960KB)(945)       Save
    Addressing the bottleneck of uncrewed aerial vehicles (UAVs) in complex electromagnetic environments, this paper systematically analyzed the classification and action mechanisms of electromagnetic interference (EMI) sources, EMI coupling paths, and nonlinear responses within UAVs. A multi-scale interference theoretical framework to address UAV anti-EMI issues was proposed for constructing. Five key anti-interference technologies were investigated: algorithm-level anti-interference, electromagnetic shielding, dynamic filtering, system-level collaborative protection, and optical fiber transmission technology. Respectively, algorithm-level anti-interference focused on integrating lightweight models with edge computing; electromagnetic shielding aimed to break through the low-frequency efficiency bottleneck; dynamic filtering explored the fusion of neural networks and bionic mechanisms; system-level collaboration established a closed-loop system of “interference identification-dynamic suppression-system reconstruction”; and optical fiber technology realized physical-layer signal isolation. This research offers theoretical and technical solutions for UAV engineering applications in environments with substantial electromagnetic interference, and is of significant importance for enhancing the electromagnetic compatibility of UAVs.
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    Location of Partial Discharge in GIS Based on Electromagnetic Wave Time Reversal
    LI Jiayang, ZHAO Jiuyi, QIAN Yong, LI Guoyu, XU Zhiren, PAN Chao, SHENG Gehao
    Journal of Shanghai Jiao Tong University    2025, 59 (12): 1763-1772.   DOI: 10.16183/j.cnki.jsjtu.2024.038
    Abstract2486)   HTML20)    PDF(pc) (6887KB)(559)       Save

    In recent years, as an effective positioning method, electromagnetic wave time reversal (EMTR) technology has begun to be applied in the field of partial discharge. Compared with traditional ultra high frequency (UHF) positioning methods, EMTR technology requires only a single sensor, offering significant advantages and promising application prospects. However, the commonly used maximum field strength and minimum entropy criteria struggle to accurately determine the focusing time and position of time reversal in complex structures. To address these problems, this paper proposes an EMTR location method based on the density-based spatial clustering of applications with noise (DBSCAN) algorithm leveraging the distinct characteristics of waveforms at signal and non-signal sources, and verify the location of partial discharges in gas-insulated switchgear (GIS) using CST Studio Suite simulation software. To verify the field feasibility of EMTR, it develops a laboratory model to conduct partial discharge experiments. The results show that the average positioning error of the EMTR method is less than 20 cm, which can realize accurate positioning of partial discharge sources in GIS. Compared with traditional methods, the EMTR method reduces the number of sensors and improves the anti-interference performance, which has certain advantages.

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    Capacity Planning and Operational Optimization for Low-Carbon Data Center Integrated Energy System Considering Exergy Efficiency
    LIN Jiayu, HAN Juntao, WANG Yongzhen, HAN Kai, HAN Yibo, LI Jian
    Journal of Shanghai Jiao Tong University    2025, 59 (9): 1327-1337.   DOI: 10.16183/j.cnki.jsjtu.2023.528
    Abstract2481)   HTML11)    PDF(pc) (3820KB)(2379)       Save

    With the rapid development of the digital economy, the energy consumption and carbon emissions of data centers (DCs) have significantly increased. In recent years, the construction of data center integrated energy systems (DC-IES) has emerged as one of the critical trends in energy conservation and emission reduction for DCs under the global net-zero emission initiative. To support the planning and construction of low-carbon DC-IES, this paper proposes a multi-objective optimization model for capacity allocation and operational planning of DC-IES, integrating energy and economic considerations with a focus on low-carbon performance. Based on the “quality” analysis method of exergy from the second law of thermodynamics, the model proposed comprehensively accounts for the dynamic exergy efficient characteristics of energy conversion devices under varying load conditions, revealing the energy flow distribution characteristics of DC-IES under different objectives. The computational results indicate that compared with the optimization scheme assuming constant equipment efficiency, the scheme considering dynamic equipment efficiency reduces energy loss rate, economic cost, and carbon emissions by 2.6%, 1.9%, and 4.8%, respectively, demonstrating clear advantages. Moreover, compared with the economically optimal scheme, the multi-objective optimization scheme significantly reduces carbon emissions and energy loss rate of the DC-IES by 22.72% and 20.73%, respectively. Furthermore, compared to the scheme scenarios with the minimum exergy loss rate and lowest carbon emissions, the multi-objective optimization scheme reduces economic costs by 54.54% and 60.78%, respectively. Compared with the scheme relying solely on grid electricity supply, the multi-objective optimization scheme that regards the DC as an integrated energy system can reduce carbon emissions by 40.97%.

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    Assessment and Extension Method for Stable Operation Domain of DFIG in Asymmetric Weak Grid
    FEI Renxiang, XU Hailiang, GE Pingjuan, CHEN Xiangyu
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1510-1522.   DOI: 10.16183/j.cnki.jsjtu.2023.512
    Abstract2478)   HTML4)    PDF(pc) (5687KB)(776)       Save

    In asymmetric weak grid, there exists a complex coupling path between the positive- and negative-sequences of the impedance between a doubly-fed wind turbine (DFIG) and the grid, leading to intricate interactions. Since grid codes require wind turbines to provide positive- and negative-sequence dynamic reactive power support, improper settings of these currents may result in system instability and oscillations. Therefore, this paper first develops a sequence impedance model of the DFIG-grid system using a harmonic linearization method, revealing the effects of positive-sequence active current, positive-sequence reactive current, and negative-sequence reactive current on system stability, and analyzes the stability mechanism induced by inter-sequence coupling. Furthermore, considering stability constraints, grid codes, and converter capacity, it characterizes the stable operating domain of the DFIG. To solve the problem of insufficient stable operating range in weak grid, it proposes an adaptive oscillation suppression phase-locked loop (PLL) method, which adaptively suppresses the oscillatory component in the PLL input, thereby extending the stable operating domain of the DFIG. Finally, simulation results verify the correctness of the theoretical analysis and the effectiveness of the proposed control method.

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    Power Allocation Strategy for Wind Power Hybrid Storage Systems Based on Variational Modal Decomposition-Multifuzzy Control
    LI Jianlin, SUN Haoyuan, ZHAO Wending, LIANG Ce, LIANG Zhonghao, YUAN Xiaodong
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1498-1509.   DOI: 10.16183/j.cnki.jsjtu.2023.572
    Abstract2452)   HTML8)    PDF(pc) (3763KB)(460)       Save

    A power allocation strategy based on variational modal decomposition-multifuzzy control for wind power hybrid storage system is proposed to address the poor grid-connected power quality caused by the uncertainty of wind power output and the poor power allocation of hybrid storage systems. First, Latin hypercubic sampling and Euclidean distance method are used to generate a typical scenario of wind power considering the uncertainty of wind power output. Then, the variational modal decomposition optimized by the positive cosine algorithm is used for the initial allocation of wind power to obtain the grid-connected power of wind power which is lower than the upper limit of the grid-connected fluctuation and the levelling power of the hybrid energy storage system. Finally, the load state of the hybrid energy storage system is partitioned, and a power redistribution strategy under multi-fuzzy control is proposed to achieve the correction of the power of the hybrid energy storage system by considering the system load state and the characteristics of the hybrid energy storage. Simulation results show that the proposed strategy can suppress wind power fluctuations and obtain stable grid-connected power. Additionly, it can effectively solve the overcharging and over-discharging problems of the hybrid energy storage system.

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    Optimization Model for Safeguarding Vulnerable Components in Integrated Energy Systems Based on Weighted Betweenness
    ZHANG Chenwei, WANG Ying, LI Yaping, ZHANG Kaifeng
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 923-937.   DOI: 10.16183/j.cnki.jsjtu.2023.403
    Abstract2429)   HTML9)    PDF(pc) (3112KB)(544)       Save

    Utilizing the complex network theory to mitigate vulnerabilities mitigation in integrated energy systems is significant for enhancing the resilience of sustained energy supply, especially against deliberate physical attacks and natural disasters. To implement more precise preventive measures for vulnerable components in integrated energy systems, this paper proposes a weighted betweenness-based protection optimization model for safeguarding vulnerable segments. The model aims to minimize the weighted betweenness loss incurred post attacks and damages, while simultaneously considering strategies such as establishing backup nodes and backup lines, enhancing physical protection of nodes and lines, and adding new lines. These strategies are subject to constraints such as protection requirements, budget limitations, and constraints on the types and quantities of new lines. The model optimization provides the optimal protection strategies within the allocated budget. To address the complex betweenness computations and non-linear objective functions, the model is formulated as a bilevel structure based on the nature of protection measures first. Then, the lower-level model is solved using a local linearization technique, and a “genetic-mixed integer linear programming” algorithm is proposed for solving the model with high precision and efficiency. The simulation results demonstrate that under conditions of equivalent attack and damage, the system with the optimal protection strategy achieves reduction of 45.37% in weighted betweenness loss compared with that without protection. The optimal strategy outperforms the other five protection strategies considered within the allocated protection budget.

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    Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability
    XIA Jinlei, TANG Yijie, WANG Lingling, JIANG Chuanwen, GU Jiu
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 889-900.   DOI: 10.16183/j.cnki.jsjtu.2023.419
    Abstract2404)   HTML11)    PDF(pc) (3256KB)(808)       Save

    In the context of “carbon peaking and carbon neutrality”, the large-scale integration and consumption of wind and solar resources is an inevitable trend in future energy development. However, as the capacity of wind and solar power integration increases, the power system also requires more flexible resources to ensure secure operation. To investigate the flexible regulation of hydropower in the system, this study focuses on the downstream stations of the hydro-wind-solar-pumped storage clean energy base in the Yalong River Basin. Considering its flexible regulation capabilities, the study conducts day-ahead optimized operational strategy research for the complementary system. First, to address the challenges of site selection and high costs associated with independent pumped storage, steady-state models for hybrid pumped storage stations in a cascade hydro-wind-solar-pumped storage system are established. To overcome the limitations of traditional models such as low predictive accuracy and the subjective selection of long short-term memory (LSTM) hyperparameters, the particle swarm optimization (PSO) algorithm is used to optimize the parameters of LSTM and the optimized LSTM model is then used to forecast the output of wind and solar power. Next, in order to fully harness the flexible regulation potential of the complementary system, a multi-objective optimal dispatching model is developed considering the economic benefits and flexible regulation margin of the complementary system in the day-ahead time. The normal boundary intersection (NBI) method is employed to solve the multi-objective problem, which can obtain the Pareto optimal solutions with an even distribution. Finally, case studies are conducted based on the actual conditions of the Yalong River Basin. By analyzing different scenarios, the effectiveness of the proposed model and the supportive role of pumped storage in enhancing system flexibility are validated. The results demonstrate that the proposed approach not only balances system profits but also fully exploits the flexible regulation potential of the system, ensuring stable operation of the system.

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    Analysis of global trends and current status of diagnosis and treatment of inflammatory bowel diseas
    YANG Cuiping, CHEN Ping
    Journal of Diagnostics Concepts & Practice    2025, 24 (04): 373-382.   DOI: 10.16150/j.1671-2870.2025.04.003
    Abstract2400)   HTML186)    PDF(pc) (571KB)(2080)       Save

    Inflammatory bowel disease (IBD) is a group of chronic, recurrent, nonspecific inflammatory intestinal disorders of unknown etiology, primarily comprising ulcerative colitis (UC) and Crohn's disease (CD). Over the past 30 years, IBD has transitioned from a traditional "Western disease" to a truly global disease. The prevalence of IBD in North America and Europe has stabilized at 0.5%-1.0%, while newly industrialized countries in Asia, Latin America, and Africa are experiencing a 5 to 10-fold surge in IBD incidence. It is projected that the total number of IBD patients in Asia will exceed 4 million by 2035. From 1990 to 2019, the number of IBD patients in China increased from 133 000 to 484 000 in males and from 107 000 to 427 000 in females. The age-standardized incidence of IBD in Chinese males and females increased from 1.72/100 000 and 1.20/100 000 to 3.35/100 000 and 2.65/100 000, respectively. By 2030, the number of IBD patients in China is projected to exceed 1 million. In terms of diagnosis, magnetic resonance enterography (MRE), computed tomography enterography (CTE), and video capsule endoscopy (VCE) have significantly improved the visualization of small bowel lesions. Fecal calprotectin (FC) (optimal threshold of 152 μg/g) can predict relapse, with a sensitivity of 72% and a specificity of 74%. Anti-neutrophil cytoplasmic antibody (ANCA) and anti-saccharomyces cerevisiae antibody (ASCA) can also provide a non-invasive basis for differentiating UC and CD. The multidisciplinary team (MDT) model has improved the diagnosis rate of difficult cases by 20%. In the field of treatment, conventional therapies including 5-aminosalicylic acid, corticosteroids, and immunomodulators remain the foundation. However, biologics and small molecule targeted drugs such as anti-tumor necrosis factor-α agents, anti-interleukin (IL)-12/23 agents, and Janus kinase inhibitors have become the core treatments for patients with moderate to severe IBD, achieving induction remission rates of 50%-70%. Endoscopic dilation, endoscopic mucosal resection, endoscopic submucosal dissection, or laparoscopic surgery combined with enhanced recovery after surgery can significantly reduce trauma. Exclusive enteral nutrition and probiotic interventions can achieve a remission rate of 60%-70% in pediatric CD patients. However, the accessibility of biologics in primary hospitals in China is less than 30%, and the implementation rate of enhanced recovery after surgery is below 40%, indica-ting a significant gap compared with Europe and America. In the future, a national IBD registry system should be established, and research on early diagnostic models based on artificial intelligence (AI) and pharmacoeconomics should be conducted to achieve precise prevention and treatment of IBD and alleviate the societal burden of the disease.

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    Transient Modeling and Characteristic Comparative Analysis of Grid-Forming VSC with and Without Current Control
    REN Xiancheng, LI Shangzhi, LI Yingbiao, HU Jiabing, XU Taishan, BAO Yanhong, WU Feng
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 971-982.   DOI: 10.16183/j.cnki.jsjtu.2023.416
    Abstract2398)   HTML25)    PDF(pc) (2357KB)(3033)       Save

    As the support capacity of renewable energy generation equipment for the power grid needs enhancement, grid-forming control has attracted extensive attention, among which the virtual synchronous generator (VSG) has emerged as a key research frontier and is already being applied in engineering demonstration. Voltage source converter (VSC) with VSG as the synchronization link can be classified into voltage and current dual loop control and direct voltage control according to whether there is a current control loop in the structure. The difference in the two control structures has a significant impact on the transient characteristics of VSC. To study the difference between transient characteristics of two kinds of VSCs, the transient models are developed based on the “power excitation-internal voltage response” model, and the formation mechanism of internal voltage and transient characteristics are comparatively analyzed. Since the VSG simulates the operation characteristics of the synchronous machine, the equivalent inertia and equivalent damping of the VSC are analytically obtained at the electromechanical scale, and their transient behaviors are compared. It is found that the equivalent inertia and damping of a VSC with direct voltage control remain constant, while those of a VSC with voltage and current dual loop control exhibit time-varying characteristics and are numerically smaller than of the direct voltage control system. Finally, the validity of the theoretical analysis is confirmed by electromagnetic transient simulation.

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    Energy Services Demand Forecasting Combined with Feature Preferences and Bidirectional Long- and Short-Term Memory Networks
    KANG Feng, TAN Huochao, SU Liwei, JIAN Donglin, WANG Shuai, QIN Hao, ZHANG Yongjun
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 1007-1018.   DOI: 10.16183/j.cnki.jsjtu.2023.458
    Abstract2311)   HTML9)    PDF(pc) (5048KB)(649)       Save

    Accurate and efficient demand forecasting of customer energy services is crucial for quality and risk management in grid customer service. Therefore, this paper proposes a user energy service demand prediction model based on feature selection. The methodology includes introducing a sampling algorithm to solve the class imbalance problem in the data on the basis of analysing the user energy service data, reducing the dimensionality of the data based on an autoencoder to ensure efficient clustering of the K-mean algorithm, constructing a feature selection algorithm based on a lightweight gradient lifting machine to filter the effective features and improve the training efficiency of the prediction model, and establishing a bidirectional long- and short-term memory neural network multi-label predicting model based on an attentional mechanism to refine the user’s energy service demand. Through the analysis of 720 000 work order data from Guangdong Power Grid over three years, showing that the model proposed can effectively improve the prediction accuracy and speed.

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    Inversion of Displacement Field of Marine Slender Pipelines Under Three-Dimensional Background Ocean Currents
    GUO Li, YUAN Yuchao, TANG Wenyong
    Journal of Shanghai Jiao Tong University    2025, 59 (12): 1815-1823.   DOI: 10.16183/j.cnki.jsjtu.2024.007
    Abstract2308)   HTML14)    PDF(pc) (2176KB)(523)       Save

    Marine pipelines are widely used in offshore engineering and are highly vulnerable to accidental damage caused by underwater structures such as ship anchors and deep-sea submersibles, especially in the dark and unpredictable marine environment. Research on configuration monitoring of marine pipelines is essential to ensure their operational safety. This paper develops a displacement field inversion model for marine pipelines under the influence of three-dimensional background ocean currents, based on the inverse finite element method. The model consists of an input parameter module, a coordinate conversion module, and a displacement reconstruction function module. It takes into account key characteristics such as large curvature, three-dimensional coupling with large displacements, and local flipping behavior. The proposed approach addresses the technical challenges associated with low-order deformation modes and irregular displacement patterns. The impact of the number and layout of monitoring points on the accuracy of displacement field inversion is studied. The results show that the layout with a monitoring point spacing of 100 m and an angle of 30° can meet the engineering accuracy requirements. The findings of this paper can provide valuable insights and methods for the design of marine pipeline health monitoring systems.

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    Digital Parallel Battlefield: A Review of Theory and Development Prospects
    ZHANG Sipei, XU Tianyang, KANG Chuanhua, CI Huipeng, LIU Rui
    Air & Space Defense    2025, 8 (3): 29-39.  
    Abstract2301)      PDF(pc) (1035KB)(965)       Save
    With the rapid development of information technology, modern warfare is transforming towards digitalisation, networking, and intelligence. As an advanced stage of the digital battlefield, the digital parallel battlefield leverages physical and virtual systems integration to provide innovative solutions for situational awareness, element coordination, and decision optimisation. This paper systematically reviewed the latest research on the digital parallel battlefield, analysing its theoretical foundations, military value, technical architecture, and practical applications. Key challenges within the field were identified, and future development trends were explored. The study highlighted the significant role of the digital parallel battlefield in enhancing joint operational capabilities, optimising command and control efficiency, and innovating military training models. In addition, challenges such as a lack of unified theoretical frameworks, delayed technical standards, and insufficient cross-domain coordination were given. In conclusion, with the continuous integration of artificial intelligence, big data, and other emerging technologies, the digital parallel battlefield will achieve broader applications in intelligence, collaboration, and service-oriented development.
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    Three-Vector Model-Free Predictive Current Control Method for Grid-Connected Inverters with Sampling Noise Compensation
    CAO Wenping, WANG Yao, ZHANG Yue, LUO Kui, HU Cungang, RUI Tao
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1523-1532.   DOI: 10.16183/j.cnki.jsjtu.2023.499
    Abstract2246)   HTML6)    PDF(pc) (5000KB)(380)       Save

    To address the issues of large current ripple, stagnant current gradient update, and sampling noise interference in the model-free predictive current control method for grid-connected inverters based on look-up table, a three-vector model-free predictive current control method with sampling noise compensation is proposed. First, the output current of each control period is predicted by using the current gradient corresponding to the three-voltage vectors, and the action time of each vector is determined by a cost function to reduce the current ripple. Then, based on the overlapping relationship between the coordinate components of the three vector and the basic vector, a two-step updating method is used to eliminate the stagnation phenomenon. Finally, according to the impact of sampling noise on current gradient updating, a second-order generalized integrator is employed to estimate and compensate the gradient error, thereby improving the accuracy of current gradient. The feasibility and effectiveness of the method proposed is verified by simulation and experiment.

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    Line Transmission Constraints Effectiveness Patterns and Similarity Mining Methods in Large-Scale Power Grid Unit Commitment
    ZHENG Yuxi, ZENG Long, LIU Jianzhe, CUI Yiyang, ZHU Hong, CAO Liang, SU Yun, WEI Lei
    Journal of Shanghai Jiao Tong University    2025, 59 (9): 1260-1269.   DOI: 10.16183/j.cnki.jsjtu.2023.550
    Abstract2224)   HTML8)    PDF(pc) (1538KB)(1228)       Save

    To address the challenge of effectively filtering constraints in the unit commitment problem constrained by large-scale line transmission networks, this paper reviews the operating principles of line constraints in both transient and steady states. An effective filtering method based on load similarity mining is proposed to eliminate redundant transmission constraints and reduce the complexity of the problem. Distance functions are developed to measure the similarity of historical load data according to the influence of different nodes on line flows. Based on the similarity analysis, typical power load scenarios are clustered, and effective line constraints are identified according to their operational significance. In addition, a pre-filtering strategy is applied to system states in which line statuses remain unchanged over time, thereby reducing the computational burden during the mining process. Simulations conducted on the IEEE 118 and Case2746wop systems validate the effectiveness of the proposed method, showing that the proposed method efficiently eliminates 99% of ineffective line constraints, and reduces solving time by over 80% compared to existing approaches.

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    Scene Generation Technology for Cognitive Deception of Intelligent Flying Vehicles
    ZHOU Yu, JIA Jun, LI Hao, DU Yihui, QIAO Wenyuan
    Air & Space Defense    2025, 8 (4): 9-19.  
    Abstract2219)      PDF(pc) (6564KB)(296)       Save
    When conducting flight perception and decision-making tasks, such as target detection and recognition, and online route planning, intelligent aircraft encounter key scenarios that affect flight safety, including false and missed target alarms, and obstacle avoidance failures. Furthermore, due to the combination explosion of the state space of the data-driven intelligent model algorithm and the black-box characteristics of the computing logic, it is challenging to discover and identify its cognitive deception scenarios. In this study, the spoofing attack method was applied to generate targeted micro-disturbances in the system input, creating scenarios that pose risks and challenges to intelligent aircraft. The intelligent aircraft system was then constantly trained to test its operational limits, thereby evaluating safety-critical boundary scenarios for flying objects. This method revealed potential vulnerabilities that standard testing methods may not be able to detect. Meanwhile, the deceptive tests of intelligent aircraft in different risk scenarios ensured the safety and performance in the most challenging situations. The generation of these complex scenarios is crucial for enhancing the robustness of autonomous flight systems and preparing them for a broader range of real-world challenges.
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    Intelligentization Development Prospects for Missile Launching System in the Kill Web Combat Style
    ZHANG Chang, JIANG Xiaoming, YIN Xiang, TONG Yun, ZHU Yulong, ZHAO Zheng
    Air & Space Defense    2025, 8 (4): 46-50.  
    Abstract2205)      PDF(pc) (1023KB)(464)       Save
    The kill web is a new, highly dynamic, and flexible combat form that will be deployed in future wars. A missile launching system, which serves as a fire execution terminal, is an essential part of the kill web. Based on the characteristics of the kill web, this paper analyzed and investigated their deployment in various domains, including missile loading and launching, bidirectional information application, autonomous status monitoring, fault prediction and handling, scenario-driven enablement, self-protection capability, and system architecture. The intelligentization development prospects for missile launching systems in the kill web combat style were systematically studied.This study provides a reference for optimizing and upgrading the traditional missile launching system, as well as for efficient network access.
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    Modeling Methods for Power Secondary System Simulation in New Power Systems
    HE Ruiwen, XIE Haijun, LU Jialiang, YANG Changxin, MOHAMMAD Shahidehpour
    Journal of Shanghai Jiao Tong University    2025, 59 (11): 1581-1591.   DOI: 10.16183/j.cnki.jsjtu.2023.556
    Abstract2203)   HTML33)    PDF(pc) (2421KB)(1074)       Save

    New power system achitecture will greatly increase the difficulty and vulnerability of the operation and control of power systems. The high integration of information and communication technology (ICT) promotes comprehensive information sharing, but it also highlights the urgency of establishing modeling and analysis methods for ICT-based power secondary systems. In this paper, simulation modeling methods for power secondary systems are proposed for the first time to achieve information sharing under interconnectivity and interoperability criteria. A smart substation secondary system with complex functional descriptions is taken as the research object. First, a structural model of intelligent electronic devices (IEDs) is proposed which meets the interconnectivity requirements. Then, a functional model of IEDs with built-in algorithms for secondary business in power systems is proposed, as well as power communication protocol models which meet the interoperability requirements under IEC 61850 standard. Furthermore, the IED function in the node domain and data exchange between IEDs in the network domain are achieved, through the state design in the process domain. Finally, taking a typical 220 kV substation line current protection as an example, the entire process of protection setting modification and protection actions after a fault occurs are simulated by correlating the operating status of the power primary system, verifying the correctness of the proposed simulation models.

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    Design Methods for Power Secondary System Simulation in New Power Systems
    HE Ruiwen, LU Jialiang, YANG Changxin, PENG Hao, MOHAMMAD Shahidehpour
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1419-1430.   DOI: 10.16183/j.cnki.jsjtu.2023.541
    Abstract2201)   HTML15)    PDF(pc) (3327KB)(1394)       Save

    Under the new situation, there is an urgent need to model and simulate the power secondary system which highly shares information and implements real-time decision-making, in line with the modeling and simulation requirements of new power systems. In this paper, design methods are proposed for the first time to achieve simulation of power secondary systems by correlating the operating status of the power primary system. The smart substation secondary system with complex functional descriptions is taken as the research object. First, an interrelated simulation method for power primary and secondary systems is proposed, and its simulation implementation framework, data interaction method, and data synchronization management are explained, which enables the actual electrical quantity data of the primary system to be transmitted to the secondary side, solving the problem of data source in the secondary system simulation. Then, a simulation design method for the power secondary system is proposed, incorporating system-level interaction design, component-level class design, and module-level state design based on the object-oriented unified modeling language (UML). Thus, the entire process of transmission, interaction, processing, and conversion of electrical quantity data in the secondary system can be analyzed. Finally, to validate the effectiveness of the proposed method, a case study is conducted using a short-circuit fault scenario at the 110 kV side outlet of the 220/110/10 kV main transformer bay, in conjunction with a differential protection scheme.

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    Stability Analysis of LCL Grid-Connected Inverter Based on Neural Network
    HAN Hualing, JIA Yichao, MA Zihan, DENG Jun, HUANG Meng
    Journal of Shanghai Jiao Tong University    2025, 59 (12): 1805-1814.   DOI: 10.16183/j.cnki.jsjtu.2023.653
    Abstract2181)   HTML12)    PDF(pc) (2261KB)(804)       Save

    The parameter uncertainty of LCL type grid-connected inverter can significantly affect the power quality of renewable energy, making it essential to analyze the stability of the inverter under the parameter inception. To solve these problems, this paper establishes a state space model of LCL type single-phase grid-connected inverter and proposes a neural network modeling method based on the parameter model. Through the parameter characterization, a training dataset based on the parameter distribution is obtained. This dataset is then trained in the neural network to produce the stability discrimination results. Finally, the effectiveness of the proposed method is verified by MATLAB/Simulink simulation and the experimental platform.

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    Design and Optimization of Freight Railway Energy Storage Traction System for Time-Sharing Cross-Regional Peak Shaving and Valley Filling
    YANG Huanhong, YANG Zhenyu, HUANG Wentao, CHAI Lei, WANG Yuxuan, YE Jingyuan
    Journal of Shanghai Jiao Tong University    2025, 59 (12): 1784-1794.   DOI: 10.16183/j.cnki.jsjtu.2024.016
    Abstract2181)   HTML13)    PDF(pc) (3468KB)(560)       Save

    To address the difficulties in adjusting new energy resources along electrified railways, uneven load distribution, and waste of potential energy in loading and unloading operations after trains arrive at stations, a design optimization strategy is proposed for the energy storage traction system of cross-regional freight railways. A time-sharing zoning electricity price model and an energy storage traction system capacity optimization allocation model are developed to guide load time shifting to achieve peak shaving and valley filling in different time domains and geographical spans by analyzing the spatiotemporal characteristics of mobile energy storage charging and discharging. Then, an energy management strategy is proposed aiming at maximizing the daily operating efficiency. The calculation example verifies that the designed energy storage traction system and its operation strategy can effectively improve the economic benefits during the operation cycle of the train, promote energy consumption along the line, and have important reference value for the low-carbon operation of electrified railways.

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