{"title":"基于神经网络和模糊逻辑的两区水热电系统智能自动发电控制","authors":"R. Verma, S. Pal, S. Sathans","doi":"10.1109/CSNT.2013.119","DOIUrl":null,"url":null,"abstract":"This study presents the design and implementation of intelligent controllers, based on artificial neural networks (ANN) and fuzzy logic, for automatic generation control (AGC) of a two area hydrothermal power system. The AGC performance with intelligent controllers is compared with the performance of conventional optimized integral and tuned PID controllers under step load disturbance. Comparative analysis of results shows considerable improvement in system performance with intelligent controllers following a load disturbance in either of the areas. The ANN controller gives better dynamic response, reduced error magnitude and minimized frequency transients. The performance of fuzzy controller is almost similar to that of ANN controller.","PeriodicalId":111865,"journal":{"name":"2013 International Conference on Communication Systems and Network Technologies","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Intelligent Automatic Generation Control of Two-Area Hydrothermal Power System Using ANN and Fuzzy Logic\",\"authors\":\"R. Verma, S. Pal, S. Sathans\",\"doi\":\"10.1109/CSNT.2013.119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents the design and implementation of intelligent controllers, based on artificial neural networks (ANN) and fuzzy logic, for automatic generation control (AGC) of a two area hydrothermal power system. The AGC performance with intelligent controllers is compared with the performance of conventional optimized integral and tuned PID controllers under step load disturbance. Comparative analysis of results shows considerable improvement in system performance with intelligent controllers following a load disturbance in either of the areas. The ANN controller gives better dynamic response, reduced error magnitude and minimized frequency transients. The performance of fuzzy controller is almost similar to that of ANN controller.\",\"PeriodicalId\":111865,\"journal\":{\"name\":\"2013 International Conference on Communication Systems and Network Technologies\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Communication Systems and Network Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNT.2013.119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Communication Systems and Network Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2013.119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Automatic Generation Control of Two-Area Hydrothermal Power System Using ANN and Fuzzy Logic
This study presents the design and implementation of intelligent controllers, based on artificial neural networks (ANN) and fuzzy logic, for automatic generation control (AGC) of a two area hydrothermal power system. The AGC performance with intelligent controllers is compared with the performance of conventional optimized integral and tuned PID controllers under step load disturbance. Comparative analysis of results shows considerable improvement in system performance with intelligent controllers following a load disturbance in either of the areas. The ANN controller gives better dynamic response, reduced error magnitude and minimized frequency transients. The performance of fuzzy controller is almost similar to that of ANN controller.