N. Chakraborty, Subhadip Chandra, A. Banerji, S. Biswas
{"title":"Optimal placement of DG using Swarm intelligence approach in distributed network: Status & challenges","authors":"N. Chakraborty, Subhadip Chandra, A. Banerji, S. Biswas","doi":"10.1109/ICTFCEN.2016.8052746","DOIUrl":null,"url":null,"abstract":"In recent years, the significance of distributed generation has increased rapidly in distribution system. The prominent goal of DG placement is to measure the optimized location, type and sizes of DGs for getting best efficiency by maximizing or minimizing different constraints. This work investigates the recent research in the field of Swarm intelligence based optimal DG placement. Swarm intelligence is mainly categorized into Ant Colony Optimization & Particle Swarm Optimization. To get optimal solution, various researchers considers different constraints to get their solution. This article surveys those research works showing recent trends of Optimal DG Placement using Ant Colony Optimization & Particle Swarm Optimization.","PeriodicalId":339848,"journal":{"name":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 21st Century Energy Needs - Materials, Systems and Applications (ICTFCEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTFCEN.2016.8052746","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
In recent years, the significance of distributed generation has increased rapidly in distribution system. The prominent goal of DG placement is to measure the optimized location, type and sizes of DGs for getting best efficiency by maximizing or minimizing different constraints. This work investigates the recent research in the field of Swarm intelligence based optimal DG placement. Swarm intelligence is mainly categorized into Ant Colony Optimization & Particle Swarm Optimization. To get optimal solution, various researchers considers different constraints to get their solution. This article surveys those research works showing recent trends of Optimal DG Placement using Ant Colony Optimization & Particle Swarm Optimization.
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