Ruhika Pattnaik, Sheetal Chandak, P. Rout, S. Routray, B. K. Sahu
{"title":"基于改进差分进化算法的两区电力系统自动发电控制设计与分析","authors":"Ruhika Pattnaik, Sheetal Chandak, P. Rout, S. Routray, B. K. Sahu","doi":"10.1109/CISPSSE49931.2020.9212198","DOIUrl":null,"url":null,"abstract":"This manuscript deals with the design and analysis of dynamic performance of Modified Differential Evolution (MDE) algorithm based, Proportional-Integral-Differential (PID) controller for Automatic Generation Control (AGC) of two area power system. For justifying the proposed approach, reheat thermal system of two area integrated with PID controllers is considered. To obtain an optimum dynamic performance, the problem statement for design is framed as a single problem of optimization to apply MDE and finely tune the controller gain parameters. For the proposed MDE optimization strategy objective function based on the Integral of Time multiplied by Absolute Error (ITAE) is considered in this study. The proposed approach's enhanced performance is justified by showing better results as compared to other stochastic based optimization techniques. Furthermore, to validate the ability of the approach to perform with better stability under wide range of system parameter variation. Finally, the possibility of real time implementation of the proposed approach is supported with results from the load variation studies.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and analysis of automatic generation control of two area power system based on modified differential evolution algorithm\",\"authors\":\"Ruhika Pattnaik, Sheetal Chandak, P. Rout, S. Routray, B. K. Sahu\",\"doi\":\"10.1109/CISPSSE49931.2020.9212198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This manuscript deals with the design and analysis of dynamic performance of Modified Differential Evolution (MDE) algorithm based, Proportional-Integral-Differential (PID) controller for Automatic Generation Control (AGC) of two area power system. For justifying the proposed approach, reheat thermal system of two area integrated with PID controllers is considered. To obtain an optimum dynamic performance, the problem statement for design is framed as a single problem of optimization to apply MDE and finely tune the controller gain parameters. For the proposed MDE optimization strategy objective function based on the Integral of Time multiplied by Absolute Error (ITAE) is considered in this study. The proposed approach's enhanced performance is justified by showing better results as compared to other stochastic based optimization techniques. Furthermore, to validate the ability of the approach to perform with better stability under wide range of system parameter variation. Finally, the possibility of real time implementation of the proposed approach is supported with results from the load variation studies.\",\"PeriodicalId\":247843,\"journal\":{\"name\":\"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISPSSE49931.2020.9212198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISPSSE49931.2020.9212198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and analysis of automatic generation control of two area power system based on modified differential evolution algorithm
This manuscript deals with the design and analysis of dynamic performance of Modified Differential Evolution (MDE) algorithm based, Proportional-Integral-Differential (PID) controller for Automatic Generation Control (AGC) of two area power system. For justifying the proposed approach, reheat thermal system of two area integrated with PID controllers is considered. To obtain an optimum dynamic performance, the problem statement for design is framed as a single problem of optimization to apply MDE and finely tune the controller gain parameters. For the proposed MDE optimization strategy objective function based on the Integral of Time multiplied by Absolute Error (ITAE) is considered in this study. The proposed approach's enhanced performance is justified by showing better results as compared to other stochastic based optimization techniques. Furthermore, to validate the ability of the approach to perform with better stability under wide range of system parameter variation. Finally, the possibility of real time implementation of the proposed approach is supported with results from the load variation studies.