{"title":"Total supply capability for city distribution systems based on the probability load growth","authors":"Zhiqiang Wang, Shengguo Wu, Wenxia Liu, W. Ding","doi":"10.1109/ISGT-ASIA.2014.6873817","DOIUrl":null,"url":null,"abstract":"This study, considering the probability load growth and load distribution imbalance, proposes a mathematical model for city total supply capability (CTSC). First, it introduces the concepts to CTSC and available load supply capability (ALSC); second, using multi-scenario method to analyze the future load, so it could get some possible load scenarios; then the model is translated into linear constrained optimization method to calculate CTSC under each scenario. So it could get CTSC with the scenarios' probability, which is most suitable one for the probability load growth and the load distribution; finally, the results from a real distribution system testify the effectiveness of the proposed model.","PeriodicalId":444960,"journal":{"name":"2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-ASIA.2014.6873817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This study, considering the probability load growth and load distribution imbalance, proposes a mathematical model for city total supply capability (CTSC). First, it introduces the concepts to CTSC and available load supply capability (ALSC); second, using multi-scenario method to analyze the future load, so it could get some possible load scenarios; then the model is translated into linear constrained optimization method to calculate CTSC under each scenario. So it could get CTSC with the scenarios' probability, which is most suitable one for the probability load growth and the load distribution; finally, the results from a real distribution system testify the effectiveness of the proposed model.