Qaher Mohammed Abdo, H. Ewad, Khaleel Agail Mohamed
{"title":"Optimized PID Controller for Single Area Thermal Power System Based on Time Varying Acceleration Coefficients Particle Swarm optimization","authors":"Qaher Mohammed Abdo, H. Ewad, Khaleel Agail Mohamed","doi":"10.1109/ICCCEEE49695.2021.9429670","DOIUrl":null,"url":null,"abstract":"This paper presents a reliable approach to solve the problem of Load Frequency Control (LFC) for non-reheat single area thermal power system. The proposed controller consists of PID controller optimized by Time Varying Acceleration Coefficient Particle Swarm Optimization (TVACPSO) algorithm. The proposed controller shows excellent results with settling time 1.02 second, undershoot of 6.44%, and zero steady state error when 10% load disturbance is added to the system comparing to the results which obtained by conventional Ziegler Nichols tuning PID controller. Additionally, the robustness test is done by changing the operating loading conditions and the parameters of the system in the range of +50% and -50%.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCEEE49695.2021.9429670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a reliable approach to solve the problem of Load Frequency Control (LFC) for non-reheat single area thermal power system. The proposed controller consists of PID controller optimized by Time Varying Acceleration Coefficient Particle Swarm Optimization (TVACPSO) algorithm. The proposed controller shows excellent results with settling time 1.02 second, undershoot of 6.44%, and zero steady state error when 10% load disturbance is added to the system comparing to the results which obtained by conventional Ziegler Nichols tuning PID controller. Additionally, the robustness test is done by changing the operating loading conditions and the parameters of the system in the range of +50% and -50%.