Xiangfei Meng, Yi Sun, Shihao Zou, Yongji Cao, Hengxu Zhang, R. Liu, Xian Wang, Yao Wang
{"title":"Bi-Level Joint Planning of Transmission Network and Energy Storage System to Enhance Flexibility","authors":"Xiangfei Meng, Yi Sun, Shihao Zou, Yongji Cao, Hengxu Zhang, R. Liu, Xian Wang, Yao Wang","doi":"10.1109/ICoPESA56898.2023.10140879","DOIUrl":null,"url":null,"abstract":"The high proportion of renewable energies make the operation state of the power system more complicated. This paper proposes a bi-level joint planning approach considering the flexibility of the power system, which proposes for the transmission network and energy storage. By building a network flexibility index and adding a flexibility objective function, a bi-level optimization model is established to improve the power system flexibility and reducing investment cost. In addition, the outer model is solved by the snake optimization algorithm. The analysis results show that the joint planning model can effectively improve the flexibility of power system, and has economic advantages compared with the transmission lines expansion.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"28 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/ICoPESA56898.2023.10140879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The high proportion of renewable energies make the operation state of the power system more complicated. This paper proposes a bi-level joint planning approach considering the flexibility of the power system, which proposes for the transmission network and energy storage. By building a network flexibility index and adding a flexibility objective function, a bi-level optimization model is established to improve the power system flexibility and reducing investment cost. In addition, the outer model is solved by the snake optimization algorithm. The analysis results show that the joint planning model can effectively improve the flexibility of power system, and has economic advantages compared with the transmission lines expansion.