Xin Deng, Y. Huo, Qing Wang, R. Zhao, H. Chen, X. Ma, X. Wang
{"title":"Design of switched reluctance generator system for wind power maximization","authors":"Xin Deng, Y. Huo, Qing Wang, R. Zhao, H. Chen, X. Ma, X. Wang","doi":"10.1109/EICONRUSNW.2015.7102286","DOIUrl":null,"url":null,"abstract":"In this paper, a switched reluctance generator (SRG) system is established for wind power generation. The designed system includes: an asymmetric half-bridge power convertor, a 12/8 three-phase SRG and control circuits which is dominated by digital controller dsPIC30F6010A. With optimized control parameters, the system achieve good dynamic and static performance with power feedback control. Then, the behavior of wind turbine is studied. For further adoption on wind power generation, a novel maximum power point tracking (MPPT) method basing on the wind turbine output behavior curve is proposed. In the proposed MPPT strategy, the outer loop controls rotor speed, while inner loop adopts PI controller for power feedback control. In the end, with optimized control parameters, the system shows good performance on a 48V experimental platform.","PeriodicalId":268759,"journal":{"name":"2015 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUSNW.2015.7102286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, a switched reluctance generator (SRG) system is established for wind power generation. The designed system includes: an asymmetric half-bridge power convertor, a 12/8 three-phase SRG and control circuits which is dominated by digital controller dsPIC30F6010A. With optimized control parameters, the system achieve good dynamic and static performance with power feedback control. Then, the behavior of wind turbine is studied. For further adoption on wind power generation, a novel maximum power point tracking (MPPT) method basing on the wind turbine output behavior curve is proposed. In the proposed MPPT strategy, the outer loop controls rotor speed, while inner loop adopts PI controller for power feedback control. In the end, with optimized control parameters, the system shows good performance on a 48V experimental platform.