Y. Mi, Yongji Cao, Hengxu Zhang, Jinye Yang, Chen Li, Leshu Sun
{"title":"Renewable Energy Capacity Credit Assessment Method Considering Source-load Correlation","authors":"Y. Mi, Yongji Cao, Hengxu Zhang, Jinye Yang, Chen Li, Leshu Sun","doi":"10.1109/icet55676.2022.9825300","DOIUrl":null,"url":null,"abstract":"The capacity credit is an important index to measure the contribution of renewable energy to the power system. Considering the source-load correlation, a capacity credit assessment method is proposed in this paper. The Copula function is used to describe the correlation between renewable energy and load in seasonal scenarios, and a source-load joint probability distribution model is constructed to generate source-load correlation scenarios. Based on the source-load correlation scenarios, the assessment of capacity credit is performed from the perspective of source-load matching. Finally, the capacity credit assessment is carried out through a case study, and the result verifies the effectiveness of the proposed method.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icet55676.2022.9825300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The capacity credit is an important index to measure the contribution of renewable energy to the power system. Considering the source-load correlation, a capacity credit assessment method is proposed in this paper. The Copula function is used to describe the correlation between renewable energy and load in seasonal scenarios, and a source-load joint probability distribution model is constructed to generate source-load correlation scenarios. Based on the source-load correlation scenarios, the assessment of capacity credit is performed from the perspective of source-load matching. Finally, the capacity credit assessment is carried out through a case study, and the result verifies the effectiveness of the proposed method.