Hao Yang , Zhenhan Song , Zhenglong Sun , Xiaohan Shi , Jian Chen , Wenfei Yi
{"title":"用于风电平滑和风电场无功/电压控制的蓄电池储能系统双层级联模糊控制策略","authors":"Hao Yang , Zhenhan Song , Zhenglong Sun , Xiaohan Shi , Jian Chen , Wenfei Yi","doi":"10.1016/j.est.2025.118663","DOIUrl":null,"url":null,"abstract":"<div><div>To address the issues of wind farm power fluctuations and voltage limit violations at the point of common coupling (PCC), this paper proposes a two-layer cascaded fuzzy control strategy of battery energy storage systems (BESS) for active power smoothing and var/voltage regulation of wind farms by dispatching the active and reactive power of BESS optimally. The cascaded control structure consists of power smoothing layer and voltage regulation layer. At the power smoothing layer, an improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is employed to decompose and reconstruct wind power, determining the initial active power command for BESS. Considering the current state of charge (SOC) of the BESS, a fuzzy control method is designed and applied to further modify the BESS power command, preventing insufficient response capability caused by excessive charging or discharging. At the voltage regulation layer, taking into account the total active power of the wind-storage system and voltage violations at the PCC, a fuzzy control method is developed and used to regulate the BESS reactive power, effectively managing voltage violations at the PCC of wind farms. To comprehensively consider wind farm control requirements and BESS dispatch capability, optimization models for control parameters are proposed and solved to tune the membership function parameters of the two fuzzy control model. Simulation results demonstrate the proposed control strategy can meet the requirements for wind power smoothing and PCC voltage regulation, and effectively reduce BESS active power regulation and improve BESS SOC state. Additionally, it can effectively reduce the BESS reactive power output and enhance BESS var/voltage control capability.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"138 ","pages":"Article 118663"},"PeriodicalIF":8.9000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-layer cascaded fuzzy control strategy of battery energy storage system for wind power smoothing and var/voltage control of wind farms\",\"authors\":\"Hao Yang , Zhenhan Song , Zhenglong Sun , Xiaohan Shi , Jian Chen , Wenfei Yi\",\"doi\":\"10.1016/j.est.2025.118663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To address the issues of wind farm power fluctuations and voltage limit violations at the point of common coupling (PCC), this paper proposes a two-layer cascaded fuzzy control strategy of battery energy storage systems (BESS) for active power smoothing and var/voltage regulation of wind farms by dispatching the active and reactive power of BESS optimally. The cascaded control structure consists of power smoothing layer and voltage regulation layer. At the power smoothing layer, an improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is employed to decompose and reconstruct wind power, determining the initial active power command for BESS. Considering the current state of charge (SOC) of the BESS, a fuzzy control method is designed and applied to further modify the BESS power command, preventing insufficient response capability caused by excessive charging or discharging. At the voltage regulation layer, taking into account the total active power of the wind-storage system and voltage violations at the PCC, a fuzzy control method is developed and used to regulate the BESS reactive power, effectively managing voltage violations at the PCC of wind farms. To comprehensively consider wind farm control requirements and BESS dispatch capability, optimization models for control parameters are proposed and solved to tune the membership function parameters of the two fuzzy control model. Simulation results demonstrate the proposed control strategy can meet the requirements for wind power smoothing and PCC voltage regulation, and effectively reduce BESS active power regulation and improve BESS SOC state. Additionally, it can effectively reduce the BESS reactive power output and enhance BESS var/voltage control capability.</div></div>\",\"PeriodicalId\":15942,\"journal\":{\"name\":\"Journal of energy storage\",\"volume\":\"138 \",\"pages\":\"Article 118663\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2025-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of energy storage\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352152X25033766\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of energy storage","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352152X25033766","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Two-layer cascaded fuzzy control strategy of battery energy storage system for wind power smoothing and var/voltage control of wind farms
To address the issues of wind farm power fluctuations and voltage limit violations at the point of common coupling (PCC), this paper proposes a two-layer cascaded fuzzy control strategy of battery energy storage systems (BESS) for active power smoothing and var/voltage regulation of wind farms by dispatching the active and reactive power of BESS optimally. The cascaded control structure consists of power smoothing layer and voltage regulation layer. At the power smoothing layer, an improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is employed to decompose and reconstruct wind power, determining the initial active power command for BESS. Considering the current state of charge (SOC) of the BESS, a fuzzy control method is designed and applied to further modify the BESS power command, preventing insufficient response capability caused by excessive charging or discharging. At the voltage regulation layer, taking into account the total active power of the wind-storage system and voltage violations at the PCC, a fuzzy control method is developed and used to regulate the BESS reactive power, effectively managing voltage violations at the PCC of wind farms. To comprehensively consider wind farm control requirements and BESS dispatch capability, optimization models for control parameters are proposed and solved to tune the membership function parameters of the two fuzzy control model. Simulation results demonstrate the proposed control strategy can meet the requirements for wind power smoothing and PCC voltage regulation, and effectively reduce BESS active power regulation and improve BESS SOC state. Additionally, it can effectively reduce the BESS reactive power output and enhance BESS var/voltage control capability.
期刊介绍:
Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.