Sandip Chakraborty, A. Manna, Animesh Gour, P. Acharjee
{"title":"基于解耦粒子群算法的负荷极限识别方法","authors":"Sandip Chakraborty, A. Manna, Animesh Gour, P. Acharjee","doi":"10.1109/ICPEDC.2017.8081117","DOIUrl":null,"url":null,"abstract":"In this paper, PSO based robust load flow is proposed. In the proposed decoupled based PSO technique, the decoupling features among the power flow variables are taken into consideration. Very simple technique is applied to prompt the convergence. Keeping all inherent properties of evolutionary technique, improvement method is developed to attain better performances. To detect the stability margin, maximum loadability limit (MLL) is identified using the proposed method. The developed algorithm shows that it can provide satisfactory solutions under stressed situations when classical standard methods fail. To establish the effectiveness and efficiency, the proposed algorithm is compared with other methods.","PeriodicalId":145373,"journal":{"name":"2017 International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decoupled PSO based rugged power flow method for loadability limit identification\",\"authors\":\"Sandip Chakraborty, A. Manna, Animesh Gour, P. Acharjee\",\"doi\":\"10.1109/ICPEDC.2017.8081117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, PSO based robust load flow is proposed. In the proposed decoupled based PSO technique, the decoupling features among the power flow variables are taken into consideration. Very simple technique is applied to prompt the convergence. Keeping all inherent properties of evolutionary technique, improvement method is developed to attain better performances. To detect the stability margin, maximum loadability limit (MLL) is identified using the proposed method. The developed algorithm shows that it can provide satisfactory solutions under stressed situations when classical standard methods fail. To establish the effectiveness and efficiency, the proposed algorithm is compared with other methods.\",\"PeriodicalId\":145373,\"journal\":{\"name\":\"2017 International Conference on Power and Embedded Drive Control (ICPEDC)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Power and Embedded Drive Control (ICPEDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEDC.2017.8081117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Power and Embedded Drive Control (ICPEDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEDC.2017.8081117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decoupled PSO based rugged power flow method for loadability limit identification
In this paper, PSO based robust load flow is proposed. In the proposed decoupled based PSO technique, the decoupling features among the power flow variables are taken into consideration. Very simple technique is applied to prompt the convergence. Keeping all inherent properties of evolutionary technique, improvement method is developed to attain better performances. To detect the stability margin, maximum loadability limit (MLL) is identified using the proposed method. The developed algorithm shows that it can provide satisfactory solutions under stressed situations when classical standard methods fail. To establish the effectiveness and efficiency, the proposed algorithm is compared with other methods.