{"title":"基于差分演化的TDF-IMC单区电力系统负荷频率控制方法","authors":"Bheem Sonker, Deepak Kumar, P. Samuel","doi":"10.1109/TENCON.2019.8929572","DOIUrl":null,"url":null,"abstract":"This paper presents a differential evolution optimization based modified control configuration for load frequency control of single-area non-reheated thermal power system. The proposed scheme contains an internal model control (IMC) controller in the internal loop and a PID controller in the external loop. The IMC controller is designed by using low pass filters and a predictive model (PM) which is derived from the system model using the Routh approximation method. The tuning parameters of low pass filters and external loop controller are optimized by using Differential evolution (DE) optimization. The proposed method provides a faster external load disturbance rejection and gives better robustness under parameter uncertainties.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"27 1","pages":"1416-1420"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Differential Evolution based TDF-IMC scheme for load frequency control of single-area power systems\",\"authors\":\"Bheem Sonker, Deepak Kumar, P. Samuel\",\"doi\":\"10.1109/TENCON.2019.8929572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a differential evolution optimization based modified control configuration for load frequency control of single-area non-reheated thermal power system. The proposed scheme contains an internal model control (IMC) controller in the internal loop and a PID controller in the external loop. The IMC controller is designed by using low pass filters and a predictive model (PM) which is derived from the system model using the Routh approximation method. The tuning parameters of low pass filters and external loop controller are optimized by using Differential evolution (DE) optimization. The proposed method provides a faster external load disturbance rejection and gives better robustness under parameter uncertainties.\",\"PeriodicalId\":36690,\"journal\":{\"name\":\"Platonic Investigations\",\"volume\":\"27 1\",\"pages\":\"1416-1420\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Platonic Investigations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.2019.8929572\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Platonic Investigations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2019.8929572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Arts and Humanities","Score":null,"Total":0}
Differential Evolution based TDF-IMC scheme for load frequency control of single-area power systems
This paper presents a differential evolution optimization based modified control configuration for load frequency control of single-area non-reheated thermal power system. The proposed scheme contains an internal model control (IMC) controller in the internal loop and a PID controller in the external loop. The IMC controller is designed by using low pass filters and a predictive model (PM) which is derived from the system model using the Routh approximation method. The tuning parameters of low pass filters and external loop controller are optimized by using Differential evolution (DE) optimization. The proposed method provides a faster external load disturbance rejection and gives better robustness under parameter uncertainties.