{"title":"两区互联电力系统负荷频率智能控制及对比分析","authors":"S. Sathans, A. Swarup","doi":"10.1109/CSNT.2011.81","DOIUrl":null,"url":null,"abstract":"This paper presents the design of an intelligent fuzzy gain scheduled proportional-integral (FGSPI) controller as the supplementary controller for load frequency control (LFC) of two-area interconnected power system with reheat type thermal unit of equal capacity in each area. The dynamic response has been studied for 1% step load perturbation in area-1. The proposed FGSPI controller is compared against conventional proportional-integral (PI) controller and state feedback linear quadratic regulator (LQR) controller using settling times, overshoots and undershoots of the tie-line power and frequency deviations as performance indices. Comparative analysis indicates that the proposed intelligent controller gives better performance than conventional controllers. Simulations have been performed using Matlab®.","PeriodicalId":294850,"journal":{"name":"2011 International Conference on Communication Systems and Network Technologies","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Intelligent Load Frequency Control of Two-Area Interconnected Power System and Comparative Analysis\",\"authors\":\"S. Sathans, A. Swarup\",\"doi\":\"10.1109/CSNT.2011.81\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design of an intelligent fuzzy gain scheduled proportional-integral (FGSPI) controller as the supplementary controller for load frequency control (LFC) of two-area interconnected power system with reheat type thermal unit of equal capacity in each area. The dynamic response has been studied for 1% step load perturbation in area-1. The proposed FGSPI controller is compared against conventional proportional-integral (PI) controller and state feedback linear quadratic regulator (LQR) controller using settling times, overshoots and undershoots of the tie-line power and frequency deviations as performance indices. Comparative analysis indicates that the proposed intelligent controller gives better performance than conventional controllers. Simulations have been performed using Matlab®.\",\"PeriodicalId\":294850,\"journal\":{\"name\":\"2011 International Conference on Communication Systems and Network Technologies\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Communication Systems and Network Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNT.2011.81\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Communication Systems and Network Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2011.81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Load Frequency Control of Two-Area Interconnected Power System and Comparative Analysis
This paper presents the design of an intelligent fuzzy gain scheduled proportional-integral (FGSPI) controller as the supplementary controller for load frequency control (LFC) of two-area interconnected power system with reheat type thermal unit of equal capacity in each area. The dynamic response has been studied for 1% step load perturbation in area-1. The proposed FGSPI controller is compared against conventional proportional-integral (PI) controller and state feedback linear quadratic regulator (LQR) controller using settling times, overshoots and undershoots of the tie-line power and frequency deviations as performance indices. Comparative analysis indicates that the proposed intelligent controller gives better performance than conventional controllers. Simulations have been performed using Matlab®.