{"title":"基于MATLAB的遗传算法优化的变速DFIG风电机组设计与仿真","authors":"Satyabrata Sahoo, E. Rajsekhar, P. S. Puhan","doi":"10.1109/ICICCSP53532.2022.9862453","DOIUrl":null,"url":null,"abstract":"Nowaday, the power control technique for a large wind turbine is mainly controlled through pitch angle control. The necessity for control of pitch angle is because of stochastic nature of the speed of wind. In this paper, different strategies for pitch angle controllers are compared for a wind turbine with doubly fed induction generator to achieve the steady output power for above rated wind speed. The control strategy utilized here are the conventional Proportional Integral (PI) and Genetic algorithm (GA) optimized PI controllers, which are developed through MATLAB. Finally, the performances of the control strategies are compared. From the results it is found that the GA optimized PI controller depicts an improved performance in comparison to PI controller.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and simulation of a GA optimized variable speed DFIG based wind turbine using MATLAB\",\"authors\":\"Satyabrata Sahoo, E. Rajsekhar, P. S. Puhan\",\"doi\":\"10.1109/ICICCSP53532.2022.9862453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowaday, the power control technique for a large wind turbine is mainly controlled through pitch angle control. The necessity for control of pitch angle is because of stochastic nature of the speed of wind. In this paper, different strategies for pitch angle controllers are compared for a wind turbine with doubly fed induction generator to achieve the steady output power for above rated wind speed. The control strategy utilized here are the conventional Proportional Integral (PI) and Genetic algorithm (GA) optimized PI controllers, which are developed through MATLAB. Finally, the performances of the control strategies are compared. From the results it is found that the GA optimized PI controller depicts an improved performance in comparison to PI controller.\",\"PeriodicalId\":326163,\"journal\":{\"name\":\"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICCSP53532.2022.9862453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCSP53532.2022.9862453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and simulation of a GA optimized variable speed DFIG based wind turbine using MATLAB
Nowaday, the power control technique for a large wind turbine is mainly controlled through pitch angle control. The necessity for control of pitch angle is because of stochastic nature of the speed of wind. In this paper, different strategies for pitch angle controllers are compared for a wind turbine with doubly fed induction generator to achieve the steady output power for above rated wind speed. The control strategy utilized here are the conventional Proportional Integral (PI) and Genetic algorithm (GA) optimized PI controllers, which are developed through MATLAB. Finally, the performances of the control strategies are compared. From the results it is found that the GA optimized PI controller depicts an improved performance in comparison to PI controller.