Zhou Xiangyu, Li Jing, Meng Yao, Dong Wenxiu, Zhang Hedong
{"title":"可再生能源区域配电网储能装置的优化控制与配置","authors":"Zhou Xiangyu, Li Jing, Meng Yao, Dong Wenxiu, Zhang Hedong","doi":"10.1109/DTPI55838.2022.9998920","DOIUrl":null,"url":null,"abstract":"When the distribution network is connected to distributed energy sources (DER) such as large-scale photovoltaics and wind power, the volatility and intermittency of distributed energy sources will adversely affect the power grid. In view of the adverse effects of distributed energy access to the regional distribution network on load characteristics, comprehensively considering the energy storage operation constraints, charge and discharge power constraints and power flow balance constraints of the distribution network, an optimal configuration model of the energy storage system is established, and the control strategy is optimized. Take “peak shaving and valley filling” and “smooth load” as load control objectives respectively. The optimization strategy is used to control the load variance and the square of the load change. Combined with the cost optimization of the energy storage system, the GUROBI algorithm is used to solve the model optimization, and the load characteristics and energy storage optimization trends under different energy storage charge and discharge power constraints are obtained. The changing trend of the optimal configuration of capacity provides an effective reference for the configuration of the energy storage system.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Control and Configuration of Energy Storage Devices in Regional Distribution Network with Renewable Energy Sources\",\"authors\":\"Zhou Xiangyu, Li Jing, Meng Yao, Dong Wenxiu, Zhang Hedong\",\"doi\":\"10.1109/DTPI55838.2022.9998920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When the distribution network is connected to distributed energy sources (DER) such as large-scale photovoltaics and wind power, the volatility and intermittency of distributed energy sources will adversely affect the power grid. In view of the adverse effects of distributed energy access to the regional distribution network on load characteristics, comprehensively considering the energy storage operation constraints, charge and discharge power constraints and power flow balance constraints of the distribution network, an optimal configuration model of the energy storage system is established, and the control strategy is optimized. Take “peak shaving and valley filling” and “smooth load” as load control objectives respectively. The optimization strategy is used to control the load variance and the square of the load change. Combined with the cost optimization of the energy storage system, the GUROBI algorithm is used to solve the model optimization, and the load characteristics and energy storage optimization trends under different energy storage charge and discharge power constraints are obtained. The changing trend of the optimal configuration of capacity provides an effective reference for the configuration of the energy storage system.\",\"PeriodicalId\":409822,\"journal\":{\"name\":\"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DTPI55838.2022.9998920\",\"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 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTPI55838.2022.9998920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Control and Configuration of Energy Storage Devices in Regional Distribution Network with Renewable Energy Sources
When the distribution network is connected to distributed energy sources (DER) such as large-scale photovoltaics and wind power, the volatility and intermittency of distributed energy sources will adversely affect the power grid. In view of the adverse effects of distributed energy access to the regional distribution network on load characteristics, comprehensively considering the energy storage operation constraints, charge and discharge power constraints and power flow balance constraints of the distribution network, an optimal configuration model of the energy storage system is established, and the control strategy is optimized. Take “peak shaving and valley filling” and “smooth load” as load control objectives respectively. The optimization strategy is used to control the load variance and the square of the load change. Combined with the cost optimization of the energy storage system, the GUROBI algorithm is used to solve the model optimization, and the load characteristics and energy storage optimization trends under different energy storage charge and discharge power constraints are obtained. The changing trend of the optimal configuration of capacity provides an effective reference for the configuration of the energy storage system.