{"title":"Planning of Soft Open Point Integrated with ESS in Active Distribution Network","authors":"Zijia Ding, Chunyi Wang, Fei Wang, Liang Feng, Guangxiao Li, Zhendong Xu","doi":"10.1109/AEEES51875.2021.9403047","DOIUrl":null,"url":null,"abstract":"With the increasing penetration of renewable energy in the distribution network, a large number of distributed generation access network, making the traditional passive network into active network, and changing the power flow distribution of radial network. The Soft Open Point Integrated with ESS (ESOP) can regulate the network power flow from two dimensions of time and space, and improve the economy of system operation. Due to the high investment cost and complex model of Soft Open Point Integrated with ESS, considering the time sequence characteristics of load and the fluctuation of distributed generation, the capacity of converter and energy storage part should be reasonably planned to achieve the ideal optimization effect with minimum economic loss. First of all, the soft open point integrated with ESS is modeled. Taking the minimum annual comprehensive cost as the objective function, the second-order cone programming model is established, which is solved by commercial solver and verified by the modified PG&E 69 node example. The results show that the economic efficiency of distribution system can be effectively improved by selecting reasonable planning scheme.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES51875.2021.9403047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
With the increasing penetration of renewable energy in the distribution network, a large number of distributed generation access network, making the traditional passive network into active network, and changing the power flow distribution of radial network. The Soft Open Point Integrated with ESS (ESOP) can regulate the network power flow from two dimensions of time and space, and improve the economy of system operation. Due to the high investment cost and complex model of Soft Open Point Integrated with ESS, considering the time sequence characteristics of load and the fluctuation of distributed generation, the capacity of converter and energy storage part should be reasonably planned to achieve the ideal optimization effect with minimum economic loss. First of all, the soft open point integrated with ESS is modeled. Taking the minimum annual comprehensive cost as the objective function, the second-order cone programming model is established, which is solved by commercial solver and verified by the modified PG&E 69 node example. The results show that the economic efficiency of distribution system can be effectively improved by selecting reasonable planning scheme.