{"title":"分配分布式发电以使配电系统的损耗最小化","authors":"Hugo de Oliveira Motta Serrano, J. Leite","doi":"10.1109/ISGTLatinAmerica52371.2021.9543072","DOIUrl":null,"url":null,"abstract":"Distributed generation (DG) has been increasing the electricity generation capacity around the world, becoming an area of great interest. DG benefits the distribution system by reducing losses and improving the energy quality and reliability of the system, in addition to the greenhouse gases reduction. The problem of dimensioning and allocating DGs is important since their installation in nonoptimal places can result in increased system losses and operation costs. This article presents a method for optimal allocation and dimensioning of DGs to reduce total losses in the power distribution feeders. The solution technique uses the greedy randomized adaptive search procedure together (GRASP) with tabu search. Results under a real-world distribution system shows the efficiency of the proposed methodology.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Allocation of Distributed Generation to Minimize Losses in the Distribution Power System\",\"authors\":\"Hugo de Oliveira Motta Serrano, J. Leite\",\"doi\":\"10.1109/ISGTLatinAmerica52371.2021.9543072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed generation (DG) has been increasing the electricity generation capacity around the world, becoming an area of great interest. DG benefits the distribution system by reducing losses and improving the energy quality and reliability of the system, in addition to the greenhouse gases reduction. The problem of dimensioning and allocating DGs is important since their installation in nonoptimal places can result in increased system losses and operation costs. This article presents a method for optimal allocation and dimensioning of DGs to reduce total losses in the power distribution feeders. The solution technique uses the greedy randomized adaptive search procedure together (GRASP) with tabu search. Results under a real-world distribution system shows the efficiency of the proposed methodology.\",\"PeriodicalId\":120262,\"journal\":{\"name\":\"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Allocation of Distributed Generation to Minimize Losses in the Distribution Power System
Distributed generation (DG) has been increasing the electricity generation capacity around the world, becoming an area of great interest. DG benefits the distribution system by reducing losses and improving the energy quality and reliability of the system, in addition to the greenhouse gases reduction. The problem of dimensioning and allocating DGs is important since their installation in nonoptimal places can result in increased system losses and operation costs. This article presents a method for optimal allocation and dimensioning of DGs to reduce total losses in the power distribution feeders. The solution technique uses the greedy randomized adaptive search procedure together (GRASP) with tabu search. Results under a real-world distribution system shows the efficiency of the proposed methodology.