{"title":"负载频率控制器设计采用新的Big Bang - Big Crunch 2算法","authors":"E. Yesil, A. I. Savran, Cagri Guzay","doi":"10.1109/INISTA.2014.6873590","DOIUrl":null,"url":null,"abstract":"In this study, an optimization based PID controller tuning method is proposed for load-frequency control (LFC) problem. The proposed Big Bang-Big Crunch 2 (BB-BC2) method is an extended version of the original BB-BC, which has a very fast convergence and less computational time. A two-area power system is modeled in Matlab-Simulink for simulations, and then the original BB-BC and the proposed BB-BC2 optimization methods are firstly compared with each other. Since BB-BC method is originally based on randomness these tests are repeated for 100 times and the benefit of the proposed BB-BC2 is shown. Afterwards, the performance of the proposed BB-BC2 algorithm is compared with three other PID tuning methods from literature. The simulation results verify the advantage of the proposed BB-BC2 algorithm to optimize the PID controllers as the load-frequency controller.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Load frequency controller design using new Big Bang - Big Crunch 2 algorithm\",\"authors\":\"E. Yesil, A. I. Savran, Cagri Guzay\",\"doi\":\"10.1109/INISTA.2014.6873590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, an optimization based PID controller tuning method is proposed for load-frequency control (LFC) problem. The proposed Big Bang-Big Crunch 2 (BB-BC2) method is an extended version of the original BB-BC, which has a very fast convergence and less computational time. A two-area power system is modeled in Matlab-Simulink for simulations, and then the original BB-BC and the proposed BB-BC2 optimization methods are firstly compared with each other. Since BB-BC method is originally based on randomness these tests are repeated for 100 times and the benefit of the proposed BB-BC2 is shown. Afterwards, the performance of the proposed BB-BC2 algorithm is compared with three other PID tuning methods from literature. The simulation results verify the advantage of the proposed BB-BC2 algorithm to optimize the PID controllers as the load-frequency controller.\",\"PeriodicalId\":339652,\"journal\":{\"name\":\"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INISTA.2014.6873590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INISTA.2014.6873590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Load frequency controller design using new Big Bang - Big Crunch 2 algorithm
In this study, an optimization based PID controller tuning method is proposed for load-frequency control (LFC) problem. The proposed Big Bang-Big Crunch 2 (BB-BC2) method is an extended version of the original BB-BC, which has a very fast convergence and less computational time. A two-area power system is modeled in Matlab-Simulink for simulations, and then the original BB-BC and the proposed BB-BC2 optimization methods are firstly compared with each other. Since BB-BC method is originally based on randomness these tests are repeated for 100 times and the benefit of the proposed BB-BC2 is shown. Afterwards, the performance of the proposed BB-BC2 algorithm is compared with three other PID tuning methods from literature. The simulation results verify the advantage of the proposed BB-BC2 algorithm to optimize the PID controllers as the load-frequency controller.