{"title":"考虑N-1故障的储能电站优化及约束灵敏度分析","authors":"Liuzhu Zhu, Rui Zhang, Aobo Zhang, Xuli Wang, Qing Liu, Shengyu Kuai, Shenghu Li","doi":"10.1109/ICoPESA56898.2023.10140708","DOIUrl":null,"url":null,"abstract":"In order to study the problem of energy storage station planning for a high proportion of distribution energy grid-connected power system, an optimization model of energy storage station planning considering the stability of the grid is proposed. Firstly, the N-1 fault probability of power grid was calculated based on state enumeration, and the fault risk degree was defined as the indicator to describe the fault severity. The cost related to system operation, load cutting and energy storage is used as the objective function of the optimization model. According to the Lagrange multiplier, the analytical expression of the sensitivity of the objective function to the energy storage optimization constraint variables is obtained, which can be used to quantify the control ability of the capacity constraint to the energy storage optimization model. The simulation results show that the proposed optimization model of energy storage power station can improve the reliability of energy storage grid-connected system, and the sensitivity results can be used to analyze the influence of variable constraints on the optimization results of the objective function.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal of Energy Storage Power Station Considering N-1 Fault and Analysis of Constraint Sensitivity\",\"authors\":\"Liuzhu Zhu, Rui Zhang, Aobo Zhang, Xuli Wang, Qing Liu, Shengyu Kuai, Shenghu Li\",\"doi\":\"10.1109/ICoPESA56898.2023.10140708\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to study the problem of energy storage station planning for a high proportion of distribution energy grid-connected power system, an optimization model of energy storage station planning considering the stability of the grid is proposed. Firstly, the N-1 fault probability of power grid was calculated based on state enumeration, and the fault risk degree was defined as the indicator to describe the fault severity. The cost related to system operation, load cutting and energy storage is used as the objective function of the optimization model. According to the Lagrange multiplier, the analytical expression of the sensitivity of the objective function to the energy storage optimization constraint variables is obtained, which can be used to quantify the control ability of the capacity constraint to the energy storage optimization model. The simulation results show that the proposed optimization model of energy storage power station can improve the reliability of energy storage grid-connected system, and the sensitivity results can be used to analyze the influence of variable constraints on the optimization results of the objective function.\",\"PeriodicalId\":127339,\"journal\":{\"name\":\"2023 International Conference on Power Energy Systems and Applications (ICoPESA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Power Energy Systems and Applications (ICoPESA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICoPESA56898.2023.10140708\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICoPESA56898.2023.10140708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal of Energy Storage Power Station Considering N-1 Fault and Analysis of Constraint Sensitivity
In order to study the problem of energy storage station planning for a high proportion of distribution energy grid-connected power system, an optimization model of energy storage station planning considering the stability of the grid is proposed. Firstly, the N-1 fault probability of power grid was calculated based on state enumeration, and the fault risk degree was defined as the indicator to describe the fault severity. The cost related to system operation, load cutting and energy storage is used as the objective function of the optimization model. According to the Lagrange multiplier, the analytical expression of the sensitivity of the objective function to the energy storage optimization constraint variables is obtained, which can be used to quantify the control ability of the capacity constraint to the energy storage optimization model. The simulation results show that the proposed optimization model of energy storage power station can improve the reliability of energy storage grid-connected system, and the sensitivity results can be used to analyze the influence of variable constraints on the optimization results of the objective function.