{"title":"重力搜索算法(GSA)优化了多区域互联电力系统负荷频率模糊pid控制器设计","authors":"M. Debnath, R. Mallick, Sahasranshu Das, A. Aman","doi":"10.1109/ICCPCT.2016.7530205","DOIUrl":null,"url":null,"abstract":"This paper focuses on the load frequency control of two area interconnected reheat thermal system with fuzzy-PID controller optimized by gravitational search algorithm (GSA). The gains of the fuzzy-PID controllers are optimized by providing a step load perturbation (SLP) of 1% to area 1 in consideration of integral time absolute error (ITAE) as the objective function. The dynamic performances of the system are being analyzed with GSA and PSO optimized fuzzy-PID controllers. The supremacy of the proposed method is depicted in terms of settling time, peak overshoots and undershoots in comparison with a recently published results. Further the robustness of the system is proved by changing the system loading.","PeriodicalId":431894,"journal":{"name":"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Gravitational search algorithm (GSA) optimized fuzzy-PID controller design for load frequency control of an interconnected multi-area power system\",\"authors\":\"M. Debnath, R. Mallick, Sahasranshu Das, A. Aman\",\"doi\":\"10.1109/ICCPCT.2016.7530205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the load frequency control of two area interconnected reheat thermal system with fuzzy-PID controller optimized by gravitational search algorithm (GSA). The gains of the fuzzy-PID controllers are optimized by providing a step load perturbation (SLP) of 1% to area 1 in consideration of integral time absolute error (ITAE) as the objective function. The dynamic performances of the system are being analyzed with GSA and PSO optimized fuzzy-PID controllers. The supremacy of the proposed method is depicted in terms of settling time, peak overshoots and undershoots in comparison with a recently published results. Further the robustness of the system is proved by changing the system loading.\",\"PeriodicalId\":431894,\"journal\":{\"name\":\"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCPCT.2016.7530205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPCT.2016.7530205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Gravitational search algorithm (GSA) optimized fuzzy-PID controller design for load frequency control of an interconnected multi-area power system
This paper focuses on the load frequency control of two area interconnected reheat thermal system with fuzzy-PID controller optimized by gravitational search algorithm (GSA). The gains of the fuzzy-PID controllers are optimized by providing a step load perturbation (SLP) of 1% to area 1 in consideration of integral time absolute error (ITAE) as the objective function. The dynamic performances of the system are being analyzed with GSA and PSO optimized fuzzy-PID controllers. The supremacy of the proposed method is depicted in terms of settling time, peak overshoots and undershoots in comparison with a recently published results. Further the robustness of the system is proved by changing the system loading.