Shah Mohammad Rezwanul Haque Shawon, Xiaodong Liang, Mehrnoosh Janbakhsh
{"title":"考虑分布式发电机组优化配置的配电网微网规划","authors":"Shah Mohammad Rezwanul Haque Shawon, Xiaodong Liang, Mehrnoosh Janbakhsh","doi":"10.1109/IAS54023.2022.9939755","DOIUrl":null,"url":null,"abstract":"Due to increasing penetration of renewable energy-based distributed generation (DG), conventional distribution networks are transformed into their active form, where microgrids are considered fundamental building blocks. Optimal placement of DG units is the primary step towards microgrid planning. Optimally placed and sized DGs can reduce the total power losses in distribution networks by localizing the power supply to loads. In this paper, a DG optimal placement method by minimizing the total power losses is proposed, where Brute Force search algorithm and Backward Forward Sweep method are used to solve the optimization and load flow problems, respectively. IEEE 33 bus radial distribution test system is used to validate the proposed method in MATLAB. Several case studies are conducted, dispatchable and non-dispatchable DGs and capacitor banks are used in the optimal placement and sizing. The proposed method is proved to be effective by comparing with an existing method.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Microgrid Planning in Distribution Networks Considering Optimal Placement of Distributed Generation Units\",\"authors\":\"Shah Mohammad Rezwanul Haque Shawon, Xiaodong Liang, Mehrnoosh Janbakhsh\",\"doi\":\"10.1109/IAS54023.2022.9939755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to increasing penetration of renewable energy-based distributed generation (DG), conventional distribution networks are transformed into their active form, where microgrids are considered fundamental building blocks. Optimal placement of DG units is the primary step towards microgrid planning. Optimally placed and sized DGs can reduce the total power losses in distribution networks by localizing the power supply to loads. In this paper, a DG optimal placement method by minimizing the total power losses is proposed, where Brute Force search algorithm and Backward Forward Sweep method are used to solve the optimization and load flow problems, respectively. IEEE 33 bus radial distribution test system is used to validate the proposed method in MATLAB. Several case studies are conducted, dispatchable and non-dispatchable DGs and capacitor banks are used in the optimal placement and sizing. The proposed method is proved to be effective by comparing with an existing method.\",\"PeriodicalId\":193587,\"journal\":{\"name\":\"2022 IEEE Industry Applications Society Annual Meeting (IAS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Industry Applications Society Annual Meeting (IAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS54023.2022.9939755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS54023.2022.9939755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Microgrid Planning in Distribution Networks Considering Optimal Placement of Distributed Generation Units
Due to increasing penetration of renewable energy-based distributed generation (DG), conventional distribution networks are transformed into their active form, where microgrids are considered fundamental building blocks. Optimal placement of DG units is the primary step towards microgrid planning. Optimally placed and sized DGs can reduce the total power losses in distribution networks by localizing the power supply to loads. In this paper, a DG optimal placement method by minimizing the total power losses is proposed, where Brute Force search algorithm and Backward Forward Sweep method are used to solve the optimization and load flow problems, respectively. IEEE 33 bus radial distribution test system is used to validate the proposed method in MATLAB. Several case studies are conducted, dispatchable and non-dispatchable DGs and capacitor banks are used in the optimal placement and sizing. The proposed method is proved to be effective by comparing with an existing method.