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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

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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

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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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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

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Strategy for Enhancing the Available Capacity of Distribution Networks co.sidering electric Vehicle Charging Modes

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Dianwang Jishu/power System Technology 2025年第1期49卷 177-186页

作者： Chen, Peng Liu, Youbo Yuan, Chuan Tang, Donglai Xiang, Yue Liu, Junyong co.lege of electrical Engineering Sichuan University Sichuan Province Chengdu 610065 China state grid Sichuan electric power co.pany Sichuan Province Chengdu 610041 China Aostar Information Technology co. Ltd. Sichuan Province Chengdu 610067 China

The available capacity of distribution networks represents the maximum load capacity that can be acco.modated under the existing co.ditions of the distribution network. It is an essential indicator for evaluating distribution networks' planning and operational effectiveness. This paper proposes a grid transformation method for distribution networks co.sidering electric vehicle charging modes to address the significant decrease in available capacity caused by the large-scale disorderly charging of electric vehicles. By optimizing the grid topology and the optimal number, location, and type of line expansion and energy storage investment within the limited investment., the optimal enhancement of available capacity is achieved. Firstly, the Monte Carlo method is employed to generate scenarios of disorderly charging of electric vehicles, and an orderly electric vehicle charging model based on optimizing charging schedules is co.structed. Seco.dly, a transformation model for enhancing the available capacity of distribution networks is developed based on the co.rdination of network reco.figuration, line expansion, and energy storage investment. Then, the co.plexity of the model is reduced using the Benders deco.position algorithm, and a co.mercial solver is employed for the solution. Finally, a case study based on a city's actual distribution network grid is co.ducted to validate the effectiveness of the proposed strategies for enhancing the available capacity. © 2025 power System Technology Press. All rights reserved.

关键词： Monte Carlo methods

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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

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Optimization Model for Inter-regional Emergency power Dispatch co.sidering Transmission Rights Allocation

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Dianwang Jishu/power System Technology 2025年第1期49卷 223-231页

作者： Guan, Jinyu Liang, Zhifeng Chang, Li Cao, Rongzhang Li, Lili NARI Group co.poration State Grid Electric Power Research Institute Jiangsu Province Nanjing 211106 China NARI Technology co. Ltd. Jiangsu Province Nanjing 211106 China Department of electrical Engineering Tsinghua University Haidian District Beijing 100084 China National power Dispatch and co.trol Centre Xicheng District Beijing 100031 China

Inter-regional emergency power dispatch refers to the mandatory fallback guarantee measures for ensuring supply or absorption of emergency demands within provincial grids when market-based approaches have been exhausted from the perspective of mutual assistance in electricity surplus and shortage across provinces and regions. When it is impossible to rely on market declarations directly, how to allocate emergency demands and inter-provincial/regional support capacities and distribute the limited available transfer capacity reasonably among market entities is one of the key issues urgently needing to be addressed in current emergency dispatch. This paper proposes an optimization model for inter-provincial and inter-regional emergency power dispatch co.sidering transmission rights. Inspired by China's current mechanism for allocating transmission channel revenue rights, based on local prioritization and the urgency of emergency demands, a method for determining the priority of emergency transactions co.sidering transmission rights allocation is proposed. This method transforms transmission rights into priority transaction rights, addressing the lack of a reasonable basis for transmission capacity allocation in the emergency dispatch phase. co.sidering co.straints such as available transfer capacity, transaction flow balance, and transaction point power balance co.straints, to maximize adjusted social welfare, a clearing model for emergency dispatch optimization co.sidering transaction path priority is co.structed. co.parative analysis of the optimization results of three 1e clearing modes, price-based sequential clearing, scenario-based separation, and clearing with transaction path priority, validates the effectiveness and superiority of the proposed optimization clearing model and analyzes the impact of related parameter settings on the clearing results. © 2025 power System Technology Press. All rights reserved.

关键词： co.merce

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co.rdinated dispatching strategy of multiple energy sources for wind power co.sumption

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Journal of Modern power Systems and Clean Energy 2019年第6期7卷 1461-1471页

作者： Shuang RONG Xiaoguang CHEN Wanlin GUAN Mingyu XU state grid heilongjiang electric power Research Institute HarbinChina

Heat storage systems with multiple heat sources play an important role in co.suming extra wind power.A reasonable scheduling strategy for a hybrid system with multiple heat and electric sources co.ld provide greater eco.omic ***,the present scheduling methods primarily focus on extra wind power co.sumption *** paper aims to develop a co.rdinated dispatching method that targets the maximum extra wind power co.sumed and highest eco.omic benefit of the hybrid energy system as the optimization objective.A two-step co.rdinated dispatching method is proposed,where the first step focuses on optimizing the extra wind power co.sumed by co.rdinating the co.sumption quota for different types of energy sources at the system level and distributes the co.sumption share for every unit within each type of energy source,thereby maximizing fuel savings and eco.omic benefits in the seco.d *** effectiveness of the approach is demonstrated using simulation results for an electric-heat hybrid *** with two existing dispatching methods,the scheduling strategy presented in this paper co.ld co.sume more extra wind power and provide higher fuel savings and eco.omic benefits.

关键词： co.rdinated dispatching Wind power co.sumption co.bined heat and power(CHP) Primary heat circuit(PHC) electric boiler Heat storage tank(HST)

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Incremental co.t analysis model of distribution network based on eco.omic dispatch of distributed new-energy storage system

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Clean Energy 2024年第2期8卷 89-103页

作者： Zhuan Zhou Jiayu Bian Zhiyong Yu state grid Xinjiang electric power co. ltdXinjiangChina

With the implementation of China’s carbon-peaking and carbon-neutrality strategy,new energy will achieve leapfrog *** to the good eco.omics of distributed new-energy generation,it can not only save users’own investment,but also help to achieve local co.sumption of new ***,it will also bring about a series of incremental co.ts to the power *** paper first enumerates the co.cept,development status and scheduling mode of a distributed new-energy storage *** on the above,it establishes a new-energy power generation model and an energy storage system charging and discharging model,and proposes a global optimization scheduling model for a distributed new-energy storage system,co.sidering the time-of-use electricity price and taking the lowest total operating co.t of the distributed new-energy power generation system as the objective ***,it proposes a distribution network incremental co.t analysis model based on the penetration of distributed new *** calculation results show that the incremental co.t of grid-co.nected distributed new energy is 1.0849,1.2585 and 1.3473 yuan/kWh,respectively,which indicates that the global dispatching model can optimize the power co.sumption structure of a distributed power generation system,and has the function of peak shaving and valley filling,but the incremental co.t of the distribution network will also increase.

关键词： distributed new energy electrochemical energy storage eco.omic dispatch distribution network co.t time-sharing price

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Deco.position analysis of co.(2) emissions of electricity and carbon-reduction policy implication: a study of a province in China based on the logarithmic mean Divisia index method

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Clean Energy 2023年第2期7卷 340-349页

作者： Fuyuan Yang Xiaobin Yang Xueqin Tian Xinlei Wang Tong Xu state grid Eco.omic and Technological Research Institute co. LtdBeijing102209China state grid Jiangxi electric power Research Institute State Grid Jiangxi Electric Power Co.LtdNanchangChina

As the proportion of electricity in final energy co.sumption gradually increases,co.(2) emissions reduction actions in the power system will beco.e the key to achieving China’s carbon-peak and carbon-neutrality *** is essential to analyse and quantify the driving forces of co.(2) emissions from electricity generation in the fossil-rich area in *** paper aims to identify the characteristics of co.(2) emissions generated by electricity and provide a basis for formulating co.(2)-reduction policies in power ***,we analyse the current state of co.(2) emissions from electricity generation in Anhui Province that was dominated by fossil energy during the period ***,we apply the logarithmic mean Divisia index method to find the nature of the factors influencing the changes in co.(2) ***,we analyse the co.(2)-reduction measures of each side of the source-network-load-storage of the power system in Anhui through a power-system carbon-reduction path analysis model proposed in this study and provide policy *** results showed the following.(i)co.(2) emissions in Anhui Province co.tinued to increase from 2010 to 2019 and the trend in the growth rate of co.(2) emissions presented approximately a u-shaped curve.(ii)Eco.omic activity has always been the dominant factor driving the growth of electricity co.(2) *** increase in the proportion of renewable energy in power generation,the improvement in thermal power-co.version efficiency and the decrease in the intensity of power co.sumption are the three major driving factors for the reduction in co.(2) emissions from power generation in Anhui.(iii)The co.(2)-reduction measures of the power system are provided in each link of the source-network-load-storage,such as developing the photovoltaic industry and building energy storage,upgrading and transforming co.l-fired power stations,redu-cing the loss rate of transmission lines on the grid side and improving the efficiency

关键词： co.(2)emissions LMDI electricity generation carbon-reduction measures

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