{"title":"Load frequency control of wind diesel hybrid power system using DE algorithm","authors":"D. Lal, Ajit Kumar Barisal, S. K. Nayak","doi":"10.1109/ISCO.2016.7727031","DOIUrl":null,"url":null,"abstract":"This paper proposes differential evolution (DE) algorithm based PID controller for pitch control of the isolated wind-diesel hybrid power system. Simulation of a hybrid power system model has been carried out in a time domain analysis with a step load change of 1%. The wind and diesel power generators frequency and power deviations responses are presented and analyzed. The results are compared with conventional optimal PI controller and GA optimized PID controller. Furthermore, the dynamic performance of the system is studied for 1-4% step load perturbation. Finally, sensitivity analysis is carried out by varying the system parameters from their nominal values.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2016.7727031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper proposes differential evolution (DE) algorithm based PID controller for pitch control of the isolated wind-diesel hybrid power system. Simulation of a hybrid power system model has been carried out in a time domain analysis with a step load change of 1%. The wind and diesel power generators frequency and power deviations responses are presented and analyzed. The results are compared with conventional optimal PI controller and GA optimized PID controller. Furthermore, the dynamic performance of the system is studied for 1-4% step load perturbation. Finally, sensitivity analysis is carried out by varying the system parameters from their nominal values.