Anju Sharaf, R. Pandey, Mahesh Singh, Rajkumar Jhapte
{"title":"利用细菌觅食优化的并联有源电力滤波器消除谐波","authors":"Anju Sharaf, R. Pandey, Mahesh Singh, Rajkumar Jhapte","doi":"10.1109/RDCAPE.2017.8358296","DOIUrl":null,"url":null,"abstract":"The shunt active power filter is gaining more attention within the field of harmonics minimization because of its effective performance in this area, where a load which is nonlinear, connected and generating the harmonics problems in the system. Here in the paper a shunt active filter with PI controller is used to eliminate harmonics also a new algorithm which is BFO (Bacterial Foraging Optimization) algorithm is used to optimize the parameter of PI controller through self tuning and provides a parameter values. The BFO algorithm is a new bionic optimization algorithm to follow the E.coli bacteria in multioptimal optimization function. The proposed model is simulate in MATLAB/SIMULINK.","PeriodicalId":442235,"journal":{"name":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Elimination of harmonics using bacterial foraging optimized shunt active power filter\",\"authors\":\"Anju Sharaf, R. Pandey, Mahesh Singh, Rajkumar Jhapte\",\"doi\":\"10.1109/RDCAPE.2017.8358296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The shunt active power filter is gaining more attention within the field of harmonics minimization because of its effective performance in this area, where a load which is nonlinear, connected and generating the harmonics problems in the system. Here in the paper a shunt active filter with PI controller is used to eliminate harmonics also a new algorithm which is BFO (Bacterial Foraging Optimization) algorithm is used to optimize the parameter of PI controller through self tuning and provides a parameter values. The BFO algorithm is a new bionic optimization algorithm to follow the E.coli bacteria in multioptimal optimization function. The proposed model is simulate in MATLAB/SIMULINK.\",\"PeriodicalId\":442235,\"journal\":{\"name\":\"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)\",\"volume\":\"211 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RDCAPE.2017.8358296\",\"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 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RDCAPE.2017.8358296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Elimination of harmonics using bacterial foraging optimized shunt active power filter
The shunt active power filter is gaining more attention within the field of harmonics minimization because of its effective performance in this area, where a load which is nonlinear, connected and generating the harmonics problems in the system. Here in the paper a shunt active filter with PI controller is used to eliminate harmonics also a new algorithm which is BFO (Bacterial Foraging Optimization) algorithm is used to optimize the parameter of PI controller through self tuning and provides a parameter values. The BFO algorithm is a new bionic optimization algorithm to follow the E.coli bacteria in multioptimal optimization function. The proposed model is simulate in MATLAB/SIMULINK.