Table of Content

28 January 2026, Volume 60 Issue 1 Previous Issue   

New Type Power System and the Integrated Energy

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A Review of Optimal Allocation and Operation of Energy Storage System for Peak Shaving and Frequency Regulation in New Type Power Systems FENG Mengyuan, WEN Shuli, SHI Shanshan, WANG Haojing, ZHU Miao, YANG Wen 2026, 60 (1):  1-18.  doi: 10.16183/j.cnki.jsjtu.2024.128 Abstract ( 1165 )   HTML ([an error occurred while processing this directive] )   PDF (3194KB) ([an error occurred while processing this directive])   Save To achieve China’s “dual carbon” goal, integrating large-scale renewable energy into power grids has become an irreversible trend. With the continuous increase in the use of renewable energy, the wind and solar power integration poses critical challenges to the stable operation of the power system. With the perfect dynamic response of active and reactive power, energy storage system can smooth power fluctuations caused by intermittent and uncertain renewable energy, which is conducive to promoting the access of large-scale new energy, realizing the smooth load regulation, and improving the interactive friendliness of the power grid. First, starting from the development of energy storage technology, this paper introduces the domestic and foreign research status of energy storage participating in the auxiliary service market of power peak regulation and frequency modulation. Then, it conducts a comprehensive review on the optimization configuration of energy storage systems taking into account peak shaving and frequency regulation requirements, analyzing from two perspectives: single-type setup and hybrid energy storage. Additionally, it summarizes the solving algorithms for the optimal configuration of energy storage systems. Afterwards, it proposes a grid-friendly new power system based on energy storage participation, and elaborates on collaborative scheduling methods and control strategies in multiple time scales and multiple regions from the perspective of collaborative operation. Finally, it provides an outlook on the future research direction of energy storage from four aspects, which are shared cloud energy storage, numerical intelligent aggregation modeling,intelligent and adaptive control technology, and improving multi-regional cooperation and standardization policy mechanism. Figures and Tables | References | Related Articles | Metrics

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Mechanism of Power Transfer Limit Under Multiple Electrical Constraints for Grid-Connected New Energy Units and Full-Power Operation Conditions in Weak Grids ZHANG Yu, ZHANG Chen, LIU Hui, YU Siqi, WU Linlin, CAI Xu 2026, 60 (1):  19-31.  doi: 10.16183/j.cnki.jsjtu.2024.142 Abstract ( 333 )   HTML ( 4 )   PDF (2262KB) ( 210 )   Save To address the issue of active power transfer limits for new energy units in weak grids, current research lacks analytical methods that consider multiple electrical constraints of new energy systems, including constraints such as maximum steady-state operating current and the voltage variation range at the grid connection point. To this end, the static voltage feasible region of new energy converters under multiple electrical constraints based on electrical isoclines is characterized, and analytical expressions for the power transfer limit under these constraints are derived accordingly. Then, the mechanism of active power transfer limitation for new energy units in weak power grids is analyzed, and the impact of various parameters and the static characteristics of Q-V control on active power transfer is studied. Next, to satisfy the requirement of operate delivering power in weak girds within the rated range, the minimum parameter requirements to ensure normal operation of converters are investigated, and the boundary range of the Q-V droop coefficient that satisfies multiple electrical constraints is derived. Finally, the proposed theoretical method is comprehensively validated through PSCAD/EMTDC simulations under an ultra-weak power grid with a short-circuit ratio of 1.05. Figures and Tables | References | Related Articles | Metrics

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Oscillation Suppression Method of Power Electronic Alternating Current Distribution System Based on Weak Point Location SHEN Bing, CHAI Wei, WANG Kai, LI Xiaoyuan, LÜ Jing 2026, 60 (1):  32-41.  doi: 10.16183/j.cnki.jsjtu.2024.054 Abstract ( 222 )   HTML ( 5 )   PDF (2162KB) ( 200 )   Save In recent years, power electronic converters have been widely used in alternating current (AC) power distribution systems due to their controllability and flexibility. However, as the penetration of power electronic equipment continues to increase, the oscillation stability issues caused by high-penetration power electronics have become one of the key technical challenges faced by new power systems. In actual AC power distribution systems, the sub/super-synchronous oscillation problems occur frequently, seriously affecting industrial production and the safe and stable operation of power grid. Therefore, an oscillation suppression method for power electronic AC distribution system based on weak point location is proposed in this paper. First, the sub/super-synchronous stability of multi-machine system is analyzed based on dominant eigenvalue by constructing the frequency-domain impedance network of power electronic AC power distribution system and establishing the node admittance matrix model of the system. Then, the participation factor matrix of the weak mode of the system is further calculated to determine the weak nodes, and node coupling degree is defined to quantitatively evaluate the interaction between nodes. Finally, an oscillation suppression method based on DC voltage feedback active damping is proposed. The effectiveness of the proposed method is verified through case studies on an actual power electronic AC power distribution system. Figures and Tables | References | Supplementary Material | Related Articles | Metrics

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Adaptive Reclosing and Fault Recovery Strategies for Large Scale Distributed Generation Access in Distribution Networks WANG Ruoqi, HU Yan, YANG Zengli, WANG Jing, WU Di, ZHANG Zhen 2026, 60 (1):  42-50.  doi: 10.16183/j.cnki.jsjtu.2024.073 Abstract ( 257 )   HTML ( 4 )   PDF (2858KB) ( 181 )   Save High penetration distributed generation (DG) in power grids has placed greater demands on power supply recovery in distribution network fault scenarios. Research on fault recovery in distribution networks is essential for improving the reliability and stability of distribution systems. In order to enhance the recovery capability of the distribution network, this paper proposes a fault recovery scheme which combines reclosing technology with the low-voltage ride through (LVRT) characteristics of distributed power sources. As an important method for quickly restoring power supply, adaptive reclosing, when coordinated with the LVRT capability of DG in the time domain, can effectively reduce the disconnection rate of DG from the grid. In fault scenarios, flexible soft switches play an important role in load transfer and voltage support, which not only ensures continuous power supply to users but also enhances the utilization efficiency of renewable energy sources and reduces their disconnection rate. This paper proposes different fault recovery schemes for both sides of the fault location in the distribution network, and finally proves the effectiveness and feasibility of the proposed fault recovery scheme by developing a simulation model on the MATLAB/Simulink simulation platform. Figures and Tables | References | Related Articles | Metrics

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Data-Model Hybrid-Driven Simulation Method for Electric Vehicle Fleet Behavior LIU Lin, YANG Siyu, HUANG Xianan, CHEN Yantao, XU Huashuai, WANG Lingling, JIANG Chuanwen 2026, 60 (1):  51-60.  doi: 10.16183/j.cnki.jsjtu.2024.082 Abstract ( 211 )   HTML ( 4 )   PDF (1875KB) ( 209 )   Save To address the issues of lack of actual electric vehicle (EV) charging load data, significant regional differences, and complex simulation methods, a behavior simulation method for EVs is proposed, which consists of a trip chain, an energy consumption chain, and a charging chain. First, to tackle the scarcity of charging data, a data-driven approach is adopted to derive the construction method and process of vehicle trip chain based on Gaussian mixture model (GMM). The travel patterns of EVs are obtained based on the similarities between EV and conventional vehicle trips. Then, energy consumption models are summarized, creating energy consumption chains based on trip chains. Finally, considering factors like charging anxiety, queueing, and charging time, the EV charging chain is developed. Simulations are conducted on common charging strategies to verify the impacts on user charging costs and the power grid. Figures and Tables | References | Related Articles | Metrics

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Bi-Level Optimization Scheduling Strategy for Building Integrated Energy System Considering Virtual Energy Storage LIU Donglin, ZHOU Xia, DAI Jianfeng, XIE Xiangpeng, TANG Yi, LI Juanshi 2026, 60 (1):  61-73.  doi: 10.16183/j.cnki.jsjtu.2024.036 Abstract ( 318 )   HTML ([an error occurred while processing this directive] )   PDF (2529KB) ([an error occurred while processing this directive])   Save Integrated energy systems in buildings are an effective means to achieve low-carbon buildings. To further tap into their demand-side flexibility adjustable potential and carbon reduction potential, and reasonably allocate the interests of various entities in the building integrated energy system, a bi-level optimization scheduling strategy for building integrated energy system considering virtual energy storage in buildings under Stackelberg game framework is proposed. First, the thermal inertia of the cooling and heating system inside the building and the flexibility of the cooling and heating load are considered to leverage the virtual energy storage function of the building and improve system flexibility in the game model. Then, the genetic algorithm is used to solve the upper-level pricing model of energy operators, updating the purchase and sale electricity prices set by upper-level leaders, while the CPLEX solver is used to solve the lower-level problem, optimizing equipment output, demand response, and electricity trading plans. Finally, the proposed model is verified by case studies that it can effectively improve the economic performance and low-carbon characteristics of building integrated energy systems. Figures and Tables | References | Supplementary Material | Related Articles | Metrics

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Influence of Incentive-Based Demand-Side Response on Distribution Network Reliability Considering Prosumers ZHAO Yao, YU Wenqiang, LI Dongdong, GAO Shaowei, WANG Yan 2026, 60 (1):  74-86.  doi: 10.16183/j.cnki.jsjtu.2024.028 Abstract ( 152 )   HTML ([an error occurred while processing this directive] )   PDF (3542KB) ([an error occurred while processing this directive])   Save With the increasing proportion of prosumers, user participation in demand-side response is no longer limited to the unidirectional power purchase mode, and the power delivered by prosumers to the distribution system is intermittent, which brings new challenges to the reliability and evaluation of the distribution network. In response, an incentive-based demand-side response (IBDR) including prosumers reliability evaluation method is proposed for distribution network in this paper. First, a bi-level optimization model is developed to represent the maximum user benefit, accounting for the coexistence of common users and prosumers, and the influence of this model on reliability evaluation is analyzed. Then, two indices, the satisfaction with demand-side response(SDSR) and the prosumer relative volatility(PRV), are introduced, which captures the reliability in evaluation. Finally, the reliability of the IEEE RBTS Bus6 model is evaluated using SDSR and PRV based on the Markov chain Monte Carlo. The results of the case study show that prosumers maximize the reliability benefits in summer, but also pose the highest risk of potential volatility. Figures and Tables | References | Related Articles | Metrics

Electronic Information and Electrical Engineering

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Improved Sliding Mode Active Disturbance Rejection Control for SIDO Buck Converter Based on High-Order Filtering Super-Twisting ESO LI Conglin, HUANG Jinfeng, ZHANG Qian, CHEN Xu 2026, 60 (1):  87-99.  doi: 10.16183/j.cnki.jsjtu.2024.043 Abstract ( 243 )   HTML ( 4 )   PDF (6183KB) ( 229 )   Save When a single-inductor dual-output (SIDO) Buck converter is disturbed by the load, a serious cross-coupling effect arises between branches, and the output signals are vulnerable to uncertain factors such as high-frequency measurement noise. To address the above issues, an improved sliding mode disturbance-observer-based control strategy based on a high-order filtering super-twisting extended state observer (HOFST-ESO) is proposed. First, the internal parameter influences and external disturbances are decoupled as lumped disturbances based on the mathematical model of the SIDO Buck converter to establish a disturbance-observer-based model without considering physical parameters. Next, a high-order filtering super-twisting extended state observer is designed to more accurately estimate and compensate for the lumped disturbances, enhancing the ability to suppress noise and cross-coupling effects. The stability of the observer is proven based on the finite-time stability theory. Then, an improved super-twisting sliding mode feedback control law is designed to ensure rapid convergence in both the sliding mode phase and the reaching phase, while better suppressing chattering. A Lyapunov function is constructed to analyze the stability of the feedback control law. Finally, the proposed control strategy is verified by simulations and experiments, which effectively reduces cross-coupling effects, suppresses noise, and improves the transient performance of the system. Figures and Tables | References | Supplementary Material | Related Articles | Metrics

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Construction of Block Design-Based Piggybacking Codes LI Tong, WANG Jing, ZHANG Jiewei, YANG Hongzhi, LIU Xiangyang 2026, 60 (1):  100-111.  doi: 10.16183/j.cnki.jsjtu.2024.203 Abstract ( 195 )   HTML ( 6 )   PDF (1656KB) ( 164 )   Save Based on maximum distance separable (MDS) codes, existing Piggybacking codes can reduce the repair bandwidth overhead of systematic nodes effectively, but there are still challenges such as larger repair degree, higher repair bandwidth of parity nodes, and the overlooking of differences in hot and cold data in the actual distributed storage systems. To address these issues, a Piggybacking construction based on block design is proposed, which can provide higher levels of protection for hot data nodes. Specifically, a block design is used to group hot and cold data nodes non-uniformly, in which hot data symbols are piggybacked into the corresponding parity nodes. Moreover, cold data parity blocks, hot data parity blocks, and slant parity blocks are generated according to specific rules. Theoretical analyses and experimental simulations show that, compared with existing Piggybacking codes, the proposed block design-based Piggybacking codes reduce the average repair bandwidth rate and average repair degree rate of the failed nodes significantly. Additionally, the repair bandwidth overhead of hot data nodes is much lower than that of cold data nodes. Figures and Tables | References | Related Articles | Metrics

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Concept Drift Data Stream Classification Algorithm Based on Incremental Weighting WU Yonghua, MEI Ying, LU Chengbo 2026, 60 (1):  112-122.  doi: 10.16183/j.cnki.jsjtu.2024.198 Abstract ( 198 )   HTML ( 5 )   PDF (4406KB) ( 170 )   Save Concept drift is one of the most common phenomena in data stream mining, where the underlying knowledge patterns in the data stream change dynamically over time, leading to a decline in the accuracy of previously established classifiers. To address this issue, we propose a concept drift data stream classification algorithm based on incremental weighting abbreviated as SCIW algorihtm. This algorithm employs a heuristic weight updating strategy combined with an adaptive method based on accuracy differences, and improves the Poisson distribution-based resampling strategy. The SCIW is capable of adapting to various concept drifts, effectively mitigating the decline in classifier accuracy. Experimental results on 14 synthetic datasets and 6 real-world datasets demonstrate that SCIW and adaptive random forests (ARF) outperform other algorithms in terms of accuracy. Additionally, SCIW significantly excels ARF in terms of time and memory consumption, with the overall average time consumption being approximately 83% of that of ARF and the overall average memory consumption being approximately 13% of that of ARF algorithm. Figures and Tables | References | Supplementary Material | Related Articles | Metrics

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Vehicle Reidentification Based on Multi-Attribute Adaptive Polymerization Network FAN Xing, GE Fei, JIA Wenwen, XIAO Fangwei 2026, 60 (1):  123-132.  doi: 10.16183/j.cnki.jsjtu.2024.135 Abstract ( 196 )   HTML ( 4 )   PDF (34168KB) ( 180 )   Save To address the insufficient feature perception ability and reduced recognition accuracy in vehicle reidentification due to intra-class differences and inter-class similarity of vehicle targets, a vehicle reidentification method based on multi-attribute adaptive aggregation network (MaAPN) architecture is proposed. First, the ResNet-50 network is used as the backbone network for feature extraction, and the instance-batch normalization (IBN) adaptive module is introduced to extract feature representations with strong domain adaptability. Next, the attributes such as camera perspective, vehicle type, and vehicle color are integrated into the network to develop a multi-attribute self-attention feature enhancement model to enhance the robustness and discriminability of feature representation. Finally, a comprehensive loss function is designed to further improve the accuracy of the network by optimizing the feature distance between samples. The results show that the MaAPN architecture achieves an average accuracy of 87.3% and 86.9% on the VeRi-776 and VERI-Wild datasets respectively, and achieves optimal results on various evaluation indicators, effectively improving the accuracy of vehicle reidentification. Figures and Tables | References | Related Articles | Metrics

Naval Architecture, Ocean and Civil Engineering

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Compression Failure Mode of Flexible Pipe Reinforced Armor Layer with Damaged Protective Layer WANG Hualin, WU Shanghua, WANG Gang, YANG Zhixun, MAO Yandong, LU Yucheng, LU Hailong 2026, 60 (1):  133-141.  doi: 10.16183/j.cnki.jsjtu.2024.087 Abstract ( 108 )   HTML ( 6 )   PDF (10494KB) ( 245 )   Save A nonlinear finite element model was established to study the compressive mechanical behavior of flexible pipes and the failure mode of reinforced armor layer with the damage protective layer. First, the common damage shapes in engineering were analyzed and classified into four regular damage shapes. Then, the undamaged numerical model was analyzed. The deformation process and characteristics of tensile armor layer were elaborated. The force history curves of each layer were compared, and the impact of damage protection layer on the instability of reinforced armor layer failure was summarized. The results showed that the ability to resist radial expansion due to damage is related to the ability of the structure to withstand compression. The shape of the damage has an inducing effect on the failure mode of the reinforced armor layer. The ripple failure mode or internal dislocation of the outer sheath can instantly strengthen the reinforced armor layer and suppress circumferential buckling. Finally, the common compression failure modes of reinforced armor layers were defined, providing valuable references for failure analysis and response strategies in marine engineering. Figures and Tables | References | Related Articles | Metrics

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A Semi-Dynamic Coupled Model of Seabed Oscillatory and Residual Response Under Wave-Current Interaction WAN Zhipeng, CUI Lin, JENG Dongsheng 2026, 60 (1):  142-153.  doi: 10.16183/j.cnki.jsjtu.2024.071 Abstract ( 168 )   HTML ( 6 )   PDF (4017KB) ( 192 )   Save The evaluation of the wave-induced residual pore pressure in a porous seabed is vital for the prediction of the potential of seabed instability under the combined action of waves and currents. Based on the Biot’s quasi-static consolidation model, previous studies have typically used decoupled models to separately discuss oscillatory pore pressure and cumulated pore pressure, which ignores the inertia effects due to the acceleration of solid particles on the accumulation of pore pressure. In this paper, considering coupling effect between oscillatory and accumulated pore pressures, a semi-dynamic coupled model for soil dynamic response under wave-current interaction is proposed. Upon comparison with existing laboratory experimental data, the capacity of the proposed coupled method is demonstrated. A series of parametric studies were conducted to analyze the influence of wave characteristics and soil parameters on cumulative pore pressure and corresponding liquefaction. The results indicate that changes in wave height, water depth, and relative density significantly affect the accumulation pore pressure and the development of the maximum liquefaction depth. The difference in maximum liquefaction depth predicted by the semi-dynamic coupled model and the quasi-static coupled model is within 6%, indicating the influence of soil particle acceleration on pore pressure accumulation. Figures and Tables | References | Related Articles | Metrics

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A Precise Control Method for Circular Motion of Unmanned Surface Vehicles for Circular Synthetic Aperture Sonar Imaging QIAO Wenchao, NIE Weimin, DU Xuanmin, LIU Benqi, YE Tianming, YANG Tianlin 2026, 60 (1):  154-162.  doi: 10.16183/j.cnki.jsjtu.2024.080 Abstract ( 151 )   HTML ( 6 )   PDF (4372KB) ( 198 )   Save Circular synthetic aperture sonar obtains all-round observation information of underwater targets by performing 360° circular motion on the imaging scene to achieve high-precision three-dimensional imaging of underwater targets, whose imaging performance is significantly affected by the circular motion error of unmanned platforms. To address this issue, a centripetal acceleration based nonlinear guidance for circular (CANGC) was designed based on the derivation of the circular path, which has a high degree of fit to the circular trajectory and high control accuracy. In addition, a circular motion control law based on model predictive control (MPC) algorithm was designed, which has a fast control response and a strong adaptive ability. The two algorithms were well integrated to achieve accurate circular trajectory tracking, in which the control output of the guidance law is yaw rate, so that the control process does not rely on the yaw angle data measured by the magnetometer of the unmanned surface vehicle (USV) and can be used under conditions with strong magnetic field influence. The superiority of the algorithm was verified through simulation experiments, and the tracking accuracy of the algorithm proposed in this paper is 80.1% higher than that of the algorithm described in previous reference literature. Further validation was conducted through lake experiments, which shows high control accuracy for circular motion. The research results provide an algorithmic foundation for the development of unmanned ships used for circular synthetic aperture sonar imaging. Figures and Tables | References | Related Articles | Metrics

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Calculation of Horizontal Bearing Capacity of Anti-Slide Piles Based on Soil Arching Effect and Improved Strain Wedge Model in Loess Sites LUO Lijuan, REN Xiang, LI Sheng, TANG Yong, HE Pengyuan 2026, 60 (1):  163-174.  doi: 10.16183/j.cnki.jsjtu.2023.650 Abstract ( 253 )   HTML ([an error occurred while processing this directive] )   PDF (3468KB) ([an error occurred while processing this directive])   Save Landslide prevention and control is one of the prominent topics in the field of geological hazards. The passive soil arching effect, adjacent to the piles, is a key factor influencing the horizontal load-bearing capacity of anti-slide piles. However, research on the influence of this passive soil arching effect on the internal force and deformation of anti-slide piles shaft is still relatively limited. To address this, based on the existing strain wedge methodology, this paper analyzes the passive soil arching effect and its mechanical characteristics along the embedded segment of anti-slide piles. An improved strain wedge calculation model for the row piles is proposed, effectively incorporating the passive soil arching effect in front of the anti-slide piles. Verification results demonstrate the accuracy of this proposed model. The main contributions of this paper are as follows. By introducing the concept and the stress characteristics of passive soil arching ahead of the anti-slide piles, new criterion for the soil failure in front of anti-slide piles is proposed as the failure of the passive soil arching. Additionally, the calculation width of the strain front edge of the wedge for pile groups to one time of the pile spacing, allows for more reasonable analysis of the passive soil arching stress in row piles. Considering the influence of static lateral soil pressure on the soil mass and pile-soil interaction in front of the anti-slide piles, the stress state characterization within the passive soil arch formation achieves enhanced analytical rigor. This systematic methodology consequently enables more precise determination of both internal force distribution patterns and deformation responses. The improved strain wedge model for row piles proposed in this paper can accurately reflect the variations law of soil resistance in front of anti-slide piles during the interaction between adjacent piles, and the developed iterative computation program for optimizing internal forces and deformations of row pile shafts offers a novel solution for engineering applications. Figures and Tables | References | Related Articles | Metrics