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Multi-Stage Voltage co.trol Optimization Strategy for Distribution Networks co.sidering Active-Reactive co.Regulation of Electric Vehicles

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Energy Engineering 2025年第1期122卷 221-242页

作者： Shukang Lyu Fei Zeng Huachun Han HuiyuMiao Yi Pan Xiaodong Yuan Electric power Research Institute State Grid Jiangsu Electric Power Co.Ltd.Nanjing211103China

The high proportion of uncertain distributed power sources and the access to large-scale random electric vehicle(EV)charging resources further aggravate the voltage fluctuation of the distribution network,and the existing research has not deeply explored the EV active-reactive synergistic regulating characteristics,and failed to realize themulti-timescale synergistic co.trol with other regulatingmeans,For this reason,this paper proposes amultilevel linkage co.rdinated optimization strategy to reduce the voltage deviation of the distribution ***,a capacitor bank reactive power co.pensation voltage co.trol model and a distributed photovoltaic(PV)activereactive power regulationmodel are ***,an external characteristicmodel of EVactive-reactive power regulation is developed co.sidering the four-quadrant operational characteristics of the *** optimization model of the distribution network is then co.structed co.sidering the time-series co.pling co.straints of multiple types of voltage regulators.A multi-timescale co.trol strategy is proposed by co.sidering the impact of voltage regulators on active-reactive EV energy co.sumption and PV energy ***,a four-stage voltage co.trol optimization strategy is proposed for various types of voltage regulators with multiple time ***-objective optimization is solved with the improvedDrosophila algorithmto realize the power fluctuation co.trol of the distribution network and themulti-stage voltage co.trol *** results validate that the proposed voltage co.trol optimization strategy achieves the co.rdinated co.trol of decentralized voltage co.trol resources in the distribution *** effectively reduces the voltage deviation of the distribution network while ensuring the energy demand of EV users and enhancing the stability and eco.omic efficiency of the distribution network.

关键词： Electric vehicle(EV) distribution network multi-stage optimization active-reactive power regulation voltage co.trol

Anomaly Detection of co.trollable Electric Vehicles through Node Equation against Aggregation Attack

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co.puters, Materials & co.tinua 2025年第1期82卷 427-442页

作者： Jing Guo Ziying Wang Yajuan Guo Haitao Jiang State grid Jiangsu Electric power co. Ltd.Research InstituteState Grid Corporation of ChinaNanjing211100China

The rapid proliferation of electric vehicle(EV)charging infrastructure introduces critical cybersecurity vulnerabilities to power grids *** study presents an innovative anomaly detection framework for EV charging stations,addressing the unique challenges posed by third-party aggregation *** approach integrates node equations-based on the parameter identification with a novel deep learning model,xDeepCIN,to detect abnormal data reporting indicative of aggregation *** employ a graph-theoretic approach to model EV charging networks and utilize Markov Chain Monte Carlo techniques for accurate parameter *** xDeepCIN model,inco.porating a co.pressed Interaction Network,has the ability to capture co.plex feature interactions in sparse,high-dimensional charging *** results on both proprietary and public datasets demonstrate significant improvements in anomaly detection performance,with F1-sco.es increasing by up to 32.3%for specific anomaly types co.pared to traditional methods,such as wide&deep and DeepFM(Factorization-Machine).Our framework exhibits robust scalability,effectively handling networks ranging from 8 to 85 charging ***,we achieve real-time monitoring capabilities,with parameter identification co.pleting within seco.ds for networks up to 1000 *** research co.tributes to enhancing the security and reliability of renewable energy systems against evolving cyber threats,offering a co.prehensive solution for safeguarding the rapidly expanding EV charging infrastructure.

关键词： Anomaly detection electric vehicle aggregation attack deep cross-network

IoT Empowered Early Warning of Transmission Line Galloping Based on Integrated Optical Fiber Sensing and Weather Forecast Time Series Data

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co.puters, Materials & co.tinua 2025年第1期82卷 1171-1192页

作者： Zhe Li Yun Liang Jinyu Wang Yang Gao State grid Henan Electric power co.pany Electric power Scientific Research Institute State Grid Henan Electric Power CompanyZhengzhou450052China

Iced transmission line galloping poses a significant threat to the safety and reliability of power systems,leading directly to line tripping,disco.nections,and power *** early warning methods of iced transmission line galloping suffer from issues such as reliance on a single data source,neglect of irregular time series,and lack of attention-based closed-loop feedback,resulting in high rates of missed and false *** address these challenges,we propose an Internet of Things(IoT)empowered early warning method of transmission line galloping that integrates time series data from optical fiber sensing and weather ***,the method applies a primary adaptive weighted fusion to the IoT empowered optical fiber real-time sensing data and weather forecast data,followed by a seco.dary fusion based on a Back Propagation(BP)neural network,and uses the K-medoids algorithm for clustering the fused ***,an adaptive irregular time series perception adjustment module is introduced into the traditional Gated Recurrent Unit(GRU)network,and closed-loop feedback based on attentionmechanism is employed to update network parameters through gradient feedback of the loss function,enabling closed-loop training and time series data prediction of the GRU network ***,co.sidering various types of prediction data and the duration of icing,an iced transmission line galloping risk co.fficient is established,and warnings are categorized based on this ***,using an IoT-driven realistic dataset of iced transmission line galloping,the effectiveness of the proposed method is validated through multi-dimensional simulation scenarios.

关键词： Optical fiber sensing multi-source data fusion early warning of galloping time series data IoT adaptive weighted learning irregular time series perception closed-loop attention mechanism

co.rdinated co.trol Strategy of New Energy power Generation System with Hybrid Energy Storage Unit

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Energy Engineering 2025年第1期122卷 167-184页

作者： Yun Zhang ZifenHan Biao Tian Ning Chen Yi Fan School of Mechano-Electronic Engineering Xidian UniversityXi’an710071China Electric power co.trol Center State Grid Gansu Electric Power CompanyLanzhou730030China Electric power co.trol Center State Grid Gansu Electric Power Company Zhangye Power Supply BranchZhangye734000China

The new energy power generation is beco.ing increasingly important in the power *** as photovoltaic power generation has beco.e a research hotspot,however,due to the characteristics of light radiation changes,photovoltaic power generation is unstable and random,resulting in a low utilization rate and directly affecting the stability of the power *** solve this problem,this paper proposes a co.rdinated co.trol strategy for a newenergy power generation system with a hybrid energy storage unit based on the lithium iron phosphate-supercapacitor hybrid energy storage ***,the variational mode deco.position algorithm is used to separate the high and low frequencies of the power signal,which is co.ducive to the rapid and accurate suppression of the power fluctuation of the energy storage ***,the fuzzy co.trol algorithm is introduced to balance the power between energy *** this paper,the actual data is used for simulation,and the simulation results show that the strategy realizes the effective suppression of the bus voltage fluctuation and the accurate co.trol of the internal state of the energy storage unit,effectively avoiding problems such as overshoot and over-discharge,and can significantly improve the stability of the photovoltaic power generation systemand the stability of the Direct Current *** is of great significance to promote the development of co.laborative co.trol technology for photovoltaic hybrid energy storage units.

关键词： Photovoltaic power suppression hybrid energy storage unit variationalmodal deco.position fuzzy co.trol power distribution co.trol

A Verifiable Trust-Based CP-ABE Access co.trol Scheme for Cloud-Assisted Renewable Energy Systems

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co.puters, Materials & co.tinua 2025年第1期82卷 1211-1232页

作者： Jiyu Zhang Kehe Wu Ruomeng Yan Zheng Tian Yizhen Sun Yuxi Wu Yaogong Guo Department of co.trol and co.puter Engineering North China Electric Power UniversityBeijing102206China State grid Information&co.munication co.pany of Hunan Electric power co.poration Changsha410118China State grid Hunan Electric power co.poration Chenzhou power Supply Branch Chenzhou423000China

Renewable Energy Systems(RES)provide a sustainable solution to climate warming and environmental pollution by enhancing stability and reliability through status acquisition and analysis on cloud platforms and intelligent processing on edge servers(ES).However,securely distributing encrypted data stored in the cloud to terminals that meet decryption requirements has beco.e a prominent research ***,managing attributes,including addition,deletion,and modification,is a crucial issue in the access co.trol scheme for *** address these security co.cerns,a trust-based ciphertext-policy attribute-based encryption(CP-ABE)device access co.trol scheme is proposed for RES(TB-CP-ABE).This scheme effectivelymanages the distribution and co.trol of encrypted data on the cloud through robust attribute key *** introducing trust management mechanisms and outsourced decryption technology,the ES system can effectively assess and manage the trust worthiness of terminal devices,ensuring that only trusted devices can participate in data exchange and access sensitive ***,the ES system dynamically evaluates trust sco.es to set decryption trust thresholds,thereby regulating device data access permissions and enhancing the system’s *** validate the security of the proposed TB-CP-ABE against chosen plaintext attacks,a co.prehensive formal security analysis is co.ducted using the widely accepted random oraclemodel under the decisional q-Bilinear Diffie-Hellman Exponent(q-BDHE)***,co.parative analysis with other schemes demonstrates that the TB-CP-ABE scheme cuts energy/co.munication co.ts by 43%,and scaleswell with rising terminals,maintaining average latency below 50ms,ensuring real-time service *** proposed scheme not only provides newinsights for the secure management of RES but also lays a foundation for future secure energy solutions.

关键词： Access co.trol renewable energy systems(RES) ciphertext-policy attribute-based encryption(CP-ABE) security

Optimal Sizing of Electricity-hydrogen Integrated Energy System co.sidering Multi-timescale Operation of Hydrogen Storage System

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Dianwang Jishu/power System Technology 2025年第1期49卷 12-21页

作者： Li, Zichen Xia, Yanghong Sun, Yong Li, Dexin Li, Baoju Wei, Wei co.lege of Electrical Engineering Zhejiang University Zhejiang Province Hangzhou 310027 China Institute of Wenzhou Zhejiang University Zhejiang Province Wenzhou 325006 China State grid Jilin Electric power co.pany co. Ltd. Jilin Province Jilin 130021 China

Responding to the Carbon Peaking and Carbon Neutrality Goals and the actual demand for local co.sumption of distributed renewable energy sources, this paper proposes a method to optimize the capacity of an electricity-hydrogen integrated energy system to meet the demand for multiple loads of electricity, heat, and hydrogen to deal with multi-timescale energy mismatches. Firstly, a hybrid energy storage system model co.taining batteries and cascade hydrogen storage and a multi-timescale operation strategy are proposed. The model fully exploits the short-term and long-term operational characteristics of hydrogen storage to realize its multi-scale utilization. Seco.dly, to address the challenges in describing the operation characteristics of long-term energy storage devices based on the traditional typical scenario method, a novel scenario reduction method based on the time-series aggregation method is proposed to provide co.secutive scenarios co.prising both short-time fluctuations and seasonal characteristics. The technique can effectively speed up the solution and ensure its accuracy. After that, a system capacity optimization model is developed based on the typical scenarios to minimize the life cycle co.t and co.sider factors including energy storage’s degradation and the co.sumption rate of renewable energy. Finally, the effectiveness of the proposed method is verified by cases in Ningbo, zhejiang, China. The results indicate that the life cycle co.t can be reduced by 21.3% with nearly 100% renewable energy co.sumption co.pared to the traditional energy management strategy. © 2025 power System Technology Press. All rights reserved.

关键词： Charge storage

Optimal Operation of Multi Alkaline Electrolyzers co.sidering Flexible Electrical and Hydrogen Load

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Dianwang Jishu/power System Technology 2025年第1期49卷 84-92页

作者： Tian, Xueqin Feng, Yajie Yuan, Tiejiang Yang, Fuyuan Ge, Yangyang School of Electrical Engineering Dalian University of Technology Liaoning Province Dalian 116024 China Sate grid Eco.omic and Technological Research Institute co. Ltd. Changping District Beijing 102209 China Electric power Research Institute of State grid Liaoning Electric power co. Ltd. Liaoning Province Shenyang 110006 China

Hydrogen production from renewable energy is one of the effective ways to reduce the high waste electricity of new energy and increase the proportion of green hydrogen. The multi-alkaline electrolyzers optimization operation strategy is proposed co.sidering flexible electric loads and hydrogen loads in response to the optimization operation of large-scale new energy hydrogen production systems and high abandonment of electricity. Firstly, after co.sidering the demand for electricity and hydrogen loads on the user side, transferable electric loads and hydrogen load models are established based on the transferable characteristics of electricity and hydrogen. Seco.dly, the multi-stack electrolyzer optimization operation strategy is proposed, co.sidering the operating characteristics of a single electrolytic cell and electrolytic efficiency. Satisfying system operation co.straints and optimizing the operating model to minimize eco.omic co.t is established and solved using the Yalmip toolbox and Cplex. The calculation results show that the participation of transferable loads can promote wind power co.sumption, reduce system electricity co.sumption, and improve the system eco.omy. co.pared with the multi-stack electrolyzer rotation strategy, the strategy proposed in this article effectively reduces the start and stop times of the electrolyzer, stabilizes the standard deviation of electrolysis cell power fluctuation within 0.27, improves the service life of electrolyzer arrays and increases the overall electrolysis efficiency to about 57%. © 2025 power System Technology Press. All rights reserved.

关键词： Wind power

A co.rdinated planning strategy of energy storage allocation and line upgrading to increase photovoltaic co.sumption with lowest planning co.t

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Science China Technological Sciences 2025年

作者： Bo ZHANG Yuqi JI Lu ZHANG Wei TANG Xiaohui ZHANG Liang WANG Haoran DING Hanchen MAO co.lege of Information and Electrical Engineering China Agricultural University State grid Heilongjiang Electric power Research Institute State Grid Heilongjiang Electric Power Company Limited School of Electrical and Information Engineering Zhengzhou University of Light Industry

Random integration of massive distributed photovoltaic (PV) generation poses serious challenges to distribution networks. Voltage violations, line overloads, increased peak–valley differences, and power-flow reversals can occur at different locations, times, and severities. Traditional planning methods such as energy storage (ES) allocation and upgrading of lines may result in poor eco.omics and low equipment utilization. This study proposes a distribution-network planning strategy that co.rdinates three planning mechanisms:ES allocation to substations and to feeders, and line upgrading. The proposed strategy achieved the lowest annual co.t, co.sidering the distribution network problems at different locations, times, and severities. A net load curve description method was first proposed co.sidering eco.omic planning and the uncertain distribution of loads and PVs. Seco.d, a multistage optimization model for ES allocation and line upgrading was established based on the net load curves. Finally, an improved IEEE33 node system was used in the case study. The planning results show that the proposed co.rdinated planning strategy can address the problems caused by the random integration of massive distributed PVs, improve equipment utilization, and obtain the lowest total annual planning co.t.

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Dispatchable Capability of Aggregated Electric Vehicle Charging in Distribution Systems

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Energy Engineering 2025年第1期122卷 129-152页

作者： ShiqianWang Bo Liu Yuanpeng Hua Qiuyan Li Binhua Tang Jianshu Zhou Yue Xiang Eco.omic and Technology Research Institute State Grid Henan Electric Power CompanyZhengzhou450052China co.lege of Electrical Engineering Sichuan UniversityChengdu610065China

This paper introduces a method for modeling the entire aggregated electric vehicle(EV)charging process and analyzing its dispatchable *** methodology involves developing a model for aggregated EV charging at the charging station level,estimating its physical dispatchable capability,determining its eco.omic dispatchable capability under eco.omic incentives,modeling its participation in the grid,and investigating the effects of different scenarios and EV penetration on the aggregated load dispatch and dispatchable *** results indicate that using eco.omic dispatchable capability reduces charging prices by 9.7%co.pared to physical dispatchable capability and 9.3%co.pared to disorderly ***,the peak-to-valley difference is reduced by 64.6%when applying eco.omic dispatchable capability with 20%EV penetration and residential base load,co.pared to disorderly charging.

关键词： Aggregated charging dispatchable capability peak shaving and valley filling the eco.omics of charging demand response