Hengning Yu, L. Yao, F. Cheng, Hui Liu, Kairang Wang, Xiangjun Li, Jian Xu, B. Mao
{"title":"考虑多应用场景的风电储能站BESS协调控制策略","authors":"Hengning Yu, L. Yao, F. Cheng, Hui Liu, Kairang Wang, Xiangjun Li, Jian Xu, B. Mao","doi":"10.1109/SPIES55999.2022.10082150","DOIUrl":null,"url":null,"abstract":"The use of energy storage is an effective way to improve the predication accuracy of fluctuant renewable energy generation and increase the controllability and dispatchability of the power system with high share of renewable energies (REs). In order to improve the prediction accuracy of renewable energies, a multi-application scenario coordinated control strategy for battery energy storage system (BESS) is proposed. Firstly, according to response requirements of BESS under different application scenarios, the power control strategies of BESS under peak load shifting scenario and prediction error compensation scenario are proposed respectively. Then, considering the priority of different application scenarios, the multi-application scenario operating area division method for BESS is proposed. Finally, a real-time secondary power regulation method of BESS is proposed based on the state of charge (SOC), and the multi-application scenario coordinated control strategy for BESS is proposed accordingly. The simulation case studies validate that the proposed strategy can effectively improve the BESS utilization rate, RE consumption ability, and prediction accuracy under various application scenarios.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Coordinated Control Strategy for BESS Considering Multi-application Scenarios in Wind Power-Energy Storage Station\",\"authors\":\"Hengning Yu, L. Yao, F. Cheng, Hui Liu, Kairang Wang, Xiangjun Li, Jian Xu, B. Mao\",\"doi\":\"10.1109/SPIES55999.2022.10082150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of energy storage is an effective way to improve the predication accuracy of fluctuant renewable energy generation and increase the controllability and dispatchability of the power system with high share of renewable energies (REs). In order to improve the prediction accuracy of renewable energies, a multi-application scenario coordinated control strategy for battery energy storage system (BESS) is proposed. Firstly, according to response requirements of BESS under different application scenarios, the power control strategies of BESS under peak load shifting scenario and prediction error compensation scenario are proposed respectively. Then, considering the priority of different application scenarios, the multi-application scenario operating area division method for BESS is proposed. Finally, a real-time secondary power regulation method of BESS is proposed based on the state of charge (SOC), and the multi-application scenario coordinated control strategy for BESS is proposed accordingly. The simulation case studies validate that the proposed strategy can effectively improve the BESS utilization rate, RE consumption ability, and prediction accuracy under various application scenarios.\",\"PeriodicalId\":412421,\"journal\":{\"name\":\"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIES55999.2022.10082150\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES55999.2022.10082150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Coordinated Control Strategy for BESS Considering Multi-application Scenarios in Wind Power-Energy Storage Station
The use of energy storage is an effective way to improve the predication accuracy of fluctuant renewable energy generation and increase the controllability and dispatchability of the power system with high share of renewable energies (REs). In order to improve the prediction accuracy of renewable energies, a multi-application scenario coordinated control strategy for battery energy storage system (BESS) is proposed. Firstly, according to response requirements of BESS under different application scenarios, the power control strategies of BESS under peak load shifting scenario and prediction error compensation scenario are proposed respectively. Then, considering the priority of different application scenarios, the multi-application scenario operating area division method for BESS is proposed. Finally, a real-time secondary power regulation method of BESS is proposed based on the state of charge (SOC), and the multi-application scenario coordinated control strategy for BESS is proposed accordingly. The simulation case studies validate that the proposed strategy can effectively improve the BESS utilization rate, RE consumption ability, and prediction accuracy under various application scenarios.