Zesen Wang, Xin Li, Ye Xia, Tianqi Zhao, X. Xia, Yu Li
{"title":"Power System Evolutionary Planning Based on LHS-kmeans Method for Generating Future Load Scenarios","authors":"Zesen Wang, Xin Li, Ye Xia, Tianqi Zhao, X. Xia, Yu Li","doi":"10.1109/SPIES52282.2021.9633902","DOIUrl":null,"url":null,"abstract":"Due to load fluctuations, it is difficult for the power system to completely rely on wind power to meet the load demand. Based on the use of LHS-Kmeans to obtain more accurate future load scenarios, the ieee6 node model is selected for power system planning and modeling for the next forty years, and Cplex is used to solve the future power system development results. The results show that although a large amount of wind power has been put into use and has grown year by year, it occupies a very high proportion of the overall power system. As the level of system fluctuations decreases, the proportion of thermal power output can be further reduced, but it still needs to be maintained at a certain level.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES52282.2021.9633902","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
Due to load fluctuations, it is difficult for the power system to completely rely on wind power to meet the load demand. Based on the use of LHS-Kmeans to obtain more accurate future load scenarios, the ieee6 node model is selected for power system planning and modeling for the next forty years, and Cplex is used to solve the future power system development results. The results show that although a large amount of wind power has been put into use and has grown year by year, it occupies a very high proportion of the overall power system. As the level of system fluctuations decreases, the proportion of thermal power output can be further reduced, but it still needs to be maintained at a certain level.