{"title":"双馈感应发电机耦合风力发电机组功率调节优化方法","authors":"Umesh Chaudhary","doi":"10.1109/CERA.2017.8343291","DOIUrl":null,"url":null,"abstract":"This paper presents a optimization method for power regulation in a wind turbine which is coupled with doubly-fed induction generator (DFIG) through the gear-box system. In this method, the blade pitch angle and turbine shaft speed are dynamically varied in order to keep the captured power as close to the rated power as possible. The vector based control technique has been successfully implemented on the DFIG system for the required variable speed operation. The genetic algorithm has proposed to get optimal tip speed ratio to extract maximum possible power. The capacity of this method to handle fast varying wind speeds has been verified using MATLAB simulations.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization method for power regulation in wind turbine coupled to doubly-fed induction generator\",\"authors\":\"Umesh Chaudhary\",\"doi\":\"10.1109/CERA.2017.8343291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a optimization method for power regulation in a wind turbine which is coupled with doubly-fed induction generator (DFIG) through the gear-box system. In this method, the blade pitch angle and turbine shaft speed are dynamically varied in order to keep the captured power as close to the rated power as possible. The vector based control technique has been successfully implemented on the DFIG system for the required variable speed operation. The genetic algorithm has proposed to get optimal tip speed ratio to extract maximum possible power. The capacity of this method to handle fast varying wind speeds has been verified using MATLAB simulations.\",\"PeriodicalId\":286358,\"journal\":{\"name\":\"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CERA.2017.8343291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERA.2017.8343291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization method for power regulation in wind turbine coupled to doubly-fed induction generator
This paper presents a optimization method for power regulation in a wind turbine which is coupled with doubly-fed induction generator (DFIG) through the gear-box system. In this method, the blade pitch angle and turbine shaft speed are dynamically varied in order to keep the captured power as close to the rated power as possible. The vector based control technique has been successfully implemented on the DFIG system for the required variable speed operation. The genetic algorithm has proposed to get optimal tip speed ratio to extract maximum possible power. The capacity of this method to handle fast varying wind speeds has been verified using MATLAB simulations.