{"title":"基于模糊增益调度的LFC控制器在风电多区域系统无调节AGC中的性能比较","authors":"S. S. Pati, S. Dash, S. Mishra","doi":"10.1109/AESPC44649.2018.9033288","DOIUrl":null,"url":null,"abstract":"In this paper a fuzzy gain scheduling based controller for multi area multi source power system is presented. Area-1 comprises of thermal and hydro plant and area-2 consists of thermal and hydro power plant with wind turbine generator and both areas are connected via tie line. Frequency deviation caused by load fluctuation is controlled by PI controller. For optimal response the PI controller is tuned via Ziegler Nichols (ZN) technique and Fuzzy Gain Scheduling (FGS) method. From MATLAB simulations it is observed that FGS based PI controller outperforms ZN tuned PI and conventional PI. The proposed model is further investigated with an integrated wind turbine generator and here also superior performance of fuzzy gain scheduling based PI compared to other control techniques is observed.","PeriodicalId":222759,"journal":{"name":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Performance Comparison of Fuzzy Gain Scheduling based LFC Controller in Deregulated AGC of a Multi Area System Incorporating Wind Energy\",\"authors\":\"S. S. Pati, S. Dash, S. Mishra\",\"doi\":\"10.1109/AESPC44649.2018.9033288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a fuzzy gain scheduling based controller for multi area multi source power system is presented. Area-1 comprises of thermal and hydro plant and area-2 consists of thermal and hydro power plant with wind turbine generator and both areas are connected via tie line. Frequency deviation caused by load fluctuation is controlled by PI controller. For optimal response the PI controller is tuned via Ziegler Nichols (ZN) technique and Fuzzy Gain Scheduling (FGS) method. From MATLAB simulations it is observed that FGS based PI controller outperforms ZN tuned PI and conventional PI. The proposed model is further investigated with an integrated wind turbine generator and here also superior performance of fuzzy gain scheduling based PI compared to other control techniques is observed.\",\"PeriodicalId\":222759,\"journal\":{\"name\":\"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AESPC44649.2018.9033288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AESPC44649.2018.9033288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Comparison of Fuzzy Gain Scheduling based LFC Controller in Deregulated AGC of a Multi Area System Incorporating Wind Energy
In this paper a fuzzy gain scheduling based controller for multi area multi source power system is presented. Area-1 comprises of thermal and hydro plant and area-2 consists of thermal and hydro power plant with wind turbine generator and both areas are connected via tie line. Frequency deviation caused by load fluctuation is controlled by PI controller. For optimal response the PI controller is tuned via Ziegler Nichols (ZN) technique and Fuzzy Gain Scheduling (FGS) method. From MATLAB simulations it is observed that FGS based PI controller outperforms ZN tuned PI and conventional PI. The proposed model is further investigated with an integrated wind turbine generator and here also superior performance of fuzzy gain scheduling based PI compared to other control techniques is observed.