Mkhutazi Mditshwa, A. Almaktoof, Y. D. Mfoumboulou
{"title":"Improving Service Restoration on the Eskom Distribution Grid System through Network Reconfiguration","authors":"Mkhutazi Mditshwa, A. Almaktoof, Y. D. Mfoumboulou","doi":"10.1109/REDEC58286.2023.10208186","DOIUrl":null,"url":null,"abstract":"This research aims to enhance service restoration on the Electricity Supply Commission (ESKOM) distribution network to model an IEEE 33 bus network. The objective is to minimize service interruption and improve overall reliability by identifying the most efficient and cost-effective methods for reconfiguring the network. The study uses the DIgSILENT software to simulate various network reconfiguration techniques on the IEEE 33 bus network model. The effectiveness of these techniques in restoring power to affected areas was analyzed and evaluated. The results of this research provide valuable insights for Eskom and other power utilities facing similar challenges in maintaining service reliability and will help improve distribution systems’ performance through advanced simulation tools.","PeriodicalId":137094,"journal":{"name":"2023 6th International Conference on Renewable Energy for Developing Countries (REDEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Renewable Energy for Developing Countries (REDEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REDEC58286.2023.10208186","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
This research aims to enhance service restoration on the Electricity Supply Commission (ESKOM) distribution network to model an IEEE 33 bus network. The objective is to minimize service interruption and improve overall reliability by identifying the most efficient and cost-effective methods for reconfiguring the network. The study uses the DIgSILENT software to simulate various network reconfiguration techniques on the IEEE 33 bus network model. The effectiveness of these techniques in restoring power to affected areas was analyzed and evaluated. The results of this research provide valuable insights for Eskom and other power utilities facing similar challenges in maintaining service reliability and will help improve distribution systems’ performance through advanced simulation tools.