{"title":"配电系统中分布式发电的最优调节","authors":"B. Kiran Babu, Sydulu Maheswarapu","doi":"10.1109/NPSC.2018.8771743","DOIUrl":null,"url":null,"abstract":"This work presents a novel Multi Verse Optimisation (MVO) algorithm to solve the optimal accommodation of distributed generation (OADG) problem of power distribution systems (PDS). The proposed algorithm uses the concepts of white-hole, black-hole and worm-hole to realise the algorithm steps. The white-hole is used in the exploration phase. Whereas the black-hole and worm-hole are used in exploitation phase. The objectives to be optimised are: minimisation of real power loss, minimisation of bus voltage deviation, and maximisation of voltage stability index. The proposed approach is validated through IEEE 33-bus and IEEE 69-bus radial power distribution systems and results are compared with genetic algorithm (GA), Particle swarm optimisation (PSO), Hybrid GA-PSO, Teaching learning based optimisation (TLBO), and Quasi-oppositional teaching learning based optimisation (QOTLBO) algorithms and found to be promising.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Optimal Accommodation of Distributed Generation in Power Distribution Systems\",\"authors\":\"B. Kiran Babu, Sydulu Maheswarapu\",\"doi\":\"10.1109/NPSC.2018.8771743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a novel Multi Verse Optimisation (MVO) algorithm to solve the optimal accommodation of distributed generation (OADG) problem of power distribution systems (PDS). The proposed algorithm uses the concepts of white-hole, black-hole and worm-hole to realise the algorithm steps. The white-hole is used in the exploration phase. Whereas the black-hole and worm-hole are used in exploitation phase. The objectives to be optimised are: minimisation of real power loss, minimisation of bus voltage deviation, and maximisation of voltage stability index. The proposed approach is validated through IEEE 33-bus and IEEE 69-bus radial power distribution systems and results are compared with genetic algorithm (GA), Particle swarm optimisation (PSO), Hybrid GA-PSO, Teaching learning based optimisation (TLBO), and Quasi-oppositional teaching learning based optimisation (QOTLBO) algorithms and found to be promising.\",\"PeriodicalId\":185930,\"journal\":{\"name\":\"2018 20th National Power Systems Conference (NPSC)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 20th National Power Systems Conference (NPSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NPSC.2018.8771743\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 20th National Power Systems Conference (NPSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NPSC.2018.8771743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimal Accommodation of Distributed Generation in Power Distribution Systems
This work presents a novel Multi Verse Optimisation (MVO) algorithm to solve the optimal accommodation of distributed generation (OADG) problem of power distribution systems (PDS). The proposed algorithm uses the concepts of white-hole, black-hole and worm-hole to realise the algorithm steps. The white-hole is used in the exploration phase. Whereas the black-hole and worm-hole are used in exploitation phase. The objectives to be optimised are: minimisation of real power loss, minimisation of bus voltage deviation, and maximisation of voltage stability index. The proposed approach is validated through IEEE 33-bus and IEEE 69-bus radial power distribution systems and results are compared with genetic algorithm (GA), Particle swarm optimisation (PSO), Hybrid GA-PSO, Teaching learning based optimisation (TLBO), and Quasi-oppositional teaching learning based optimisation (QOTLBO) algorithms and found to be promising.