{"title":"Transient stability assessment of DFIG integrated distribution system","authors":"Kuldeep, K. Verma","doi":"10.1109/CERA.2017.8343351","DOIUrl":null,"url":null,"abstract":"Integration of wind generation into the existing power grids poses significant challenges. One of the major impact is transient instability in both transmission and distribution system. In this paper, the transient stability assessment of distribution system integrated with Doubly Fed Induction Generator (DFIG) as Distributed Generation (DG) is proposed. The optimal sizing and siting of DGs with loss minimization at their different Penetration Levels (PL) is obtained by Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) Techniques. The symmetrical faults at various locations are applied to the 33 bus radial distribution system to assess the transient stability of the system using time domain simulations.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERA.2017.8343351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Integration of wind generation into the existing power grids poses significant challenges. One of the major impact is transient instability in both transmission and distribution system. In this paper, the transient stability assessment of distribution system integrated with Doubly Fed Induction Generator (DFIG) as Distributed Generation (DG) is proposed. The optimal sizing and siting of DGs with loss minimization at their different Penetration Levels (PL) is obtained by Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) Techniques. The symmetrical faults at various locations are applied to the 33 bus radial distribution system to assess the transient stability of the system using time domain simulations.