Li Minzhuo , Yang Dejian , Qian Minhui , Chen Wei , Yan Gangui
{"title":"考虑风-电池储能联合系统频率调节的电池储能系统最优容量分配策略","authors":"Li Minzhuo , Yang Dejian , Qian Minhui , Chen Wei , Yan Gangui","doi":"10.1016/j.epsr.2025.111880","DOIUrl":null,"url":null,"abstract":"<div><div>With the continuous integration of renewable energy sources into the grid, the issue of system frequency stability has become increasingly prominent. Due to the fast response and bidirectional power regulation characteristics of battery energy storage system (BESS), they can help mitigate the impact of wind power fluctuations on grid frequency. Therefore, it is essential to co-optimize wind turbine (WT) control parameters and allocate BESS capacity economically while ensuring system frequency stability. Considering the influence of wind power penetration and the economic and performance aspects of frequency regulation (FR) by wind-BESS, a method for optimal capacity allocation strategy of BESS considering the FR of wind-battery energy storage combined system is proposed. Firstly, the system frequency response model with WT participation in FR is constructed. Secondly, a mathematical model for BESS capacity allocation is developed by integrating the system's FR effect and the economic considerations of BESS capacity allocation. This model combines BESS life cycle theory and incorporates the FR of the grid and the operational states of WT and BESS as constraints. The reverse search particle swarm optimization algorithm is applied to solve the BESS capacity allocation schemes under varying wind power penetration and optimized droop coefficient of the WT. Simulation results demonstrate that the proposed BESS capacity allocation method can reduce the required BESS capacity and associated costs by considering WT participation in FR while maintaining system stability.<span><span><sup>1</sup></span></span></div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"249 ","pages":"Article 111880"},"PeriodicalIF":4.2000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal capacity allocation strategy of battery energy storage system considering the frequency regulation of wind-battery energy storage combined system\",\"authors\":\"Li Minzhuo , Yang Dejian , Qian Minhui , Chen Wei , Yan Gangui\",\"doi\":\"10.1016/j.epsr.2025.111880\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the continuous integration of renewable energy sources into the grid, the issue of system frequency stability has become increasingly prominent. Due to the fast response and bidirectional power regulation characteristics of battery energy storage system (BESS), they can help mitigate the impact of wind power fluctuations on grid frequency. Therefore, it is essential to co-optimize wind turbine (WT) control parameters and allocate BESS capacity economically while ensuring system frequency stability. Considering the influence of wind power penetration and the economic and performance aspects of frequency regulation (FR) by wind-BESS, a method for optimal capacity allocation strategy of BESS considering the FR of wind-battery energy storage combined system is proposed. Firstly, the system frequency response model with WT participation in FR is constructed. Secondly, a mathematical model for BESS capacity allocation is developed by integrating the system's FR effect and the economic considerations of BESS capacity allocation. This model combines BESS life cycle theory and incorporates the FR of the grid and the operational states of WT and BESS as constraints. The reverse search particle swarm optimization algorithm is applied to solve the BESS capacity allocation schemes under varying wind power penetration and optimized droop coefficient of the WT. Simulation results demonstrate that the proposed BESS capacity allocation method can reduce the required BESS capacity and associated costs by considering WT participation in FR while maintaining system stability.<span><span><sup>1</sup></span></span></div></div>\",\"PeriodicalId\":50547,\"journal\":{\"name\":\"Electric Power Systems Research\",\"volume\":\"249 \",\"pages\":\"Article 111880\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electric Power Systems Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378779625004717\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779625004717","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Optimal capacity allocation strategy of battery energy storage system considering the frequency regulation of wind-battery energy storage combined system
With the continuous integration of renewable energy sources into the grid, the issue of system frequency stability has become increasingly prominent. Due to the fast response and bidirectional power regulation characteristics of battery energy storage system (BESS), they can help mitigate the impact of wind power fluctuations on grid frequency. Therefore, it is essential to co-optimize wind turbine (WT) control parameters and allocate BESS capacity economically while ensuring system frequency stability. Considering the influence of wind power penetration and the economic and performance aspects of frequency regulation (FR) by wind-BESS, a method for optimal capacity allocation strategy of BESS considering the FR of wind-battery energy storage combined system is proposed. Firstly, the system frequency response model with WT participation in FR is constructed. Secondly, a mathematical model for BESS capacity allocation is developed by integrating the system's FR effect and the economic considerations of BESS capacity allocation. This model combines BESS life cycle theory and incorporates the FR of the grid and the operational states of WT and BESS as constraints. The reverse search particle swarm optimization algorithm is applied to solve the BESS capacity allocation schemes under varying wind power penetration and optimized droop coefficient of the WT. Simulation results demonstrate that the proposed BESS capacity allocation method can reduce the required BESS capacity and associated costs by considering WT participation in FR while maintaining system stability.1
期刊介绍:
Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.
• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation.
• Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design.
• Substation work: equipment design, protection and control systems.
• Distribution techniques, equipment development, and smart grids.
• The utilization area from energy efficiency to distributed load levelling techniques.
• Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.