Siying Xu, Yunfeng Cao, Han Wang, Wei Wang, Dongmei Yang, Xu Cai
{"title":"Oscillation Mode Identification of Self-Synchronized Voltage Source Doubly-Fed Wind Turbine Based on Continuous Wavelet Transform","authors":"Siying Xu, Yunfeng Cao, Han Wang, Wei Wang, Dongmei Yang, Xu Cai","doi":"10.1109/PEDG56097.2023.10215130","DOIUrl":null,"url":null,"abstract":"The oscillation problem caused by high proportion of renewable energy and power electronic equipment in power grid is becoming more and more significant. Aiming at the problem of medium-high frequency frequency stability in a weak grid connected with self-synchronized voltage source doubly-fed wind turbine, a dynamic state-space model considering both the rotor-side converter (RSC) and the grid-side converter (GSC) was first established. The oscillation mode of the system was studied by eigenvalue-based analysis. For the defect that the eigenvalue-based method is lack of time-frequency resolution capability, the continuous wavelet transform (CWT) is adopted to reveal the oscillation mode of the doubly-fed wind generation system in the time-frequency domain. The dominant oscillation mode is identified online through the relative energy of the wavelet, which is mutually verified by the FFT-based analysis results. Finally, a simulation model of a 2MW doubly-fed wind turbine is built in PSCAD/EMTDC, and the simulation results verified the correctness of the theoretical analysis. The research results provide a reference for fault diagnosis of doubly-fed wind generation systems.","PeriodicalId":386920,"journal":{"name":"2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDG56097.2023.10215130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The oscillation problem caused by high proportion of renewable energy and power electronic equipment in power grid is becoming more and more significant. Aiming at the problem of medium-high frequency frequency stability in a weak grid connected with self-synchronized voltage source doubly-fed wind turbine, a dynamic state-space model considering both the rotor-side converter (RSC) and the grid-side converter (GSC) was first established. The oscillation mode of the system was studied by eigenvalue-based analysis. For the defect that the eigenvalue-based method is lack of time-frequency resolution capability, the continuous wavelet transform (CWT) is adopted to reveal the oscillation mode of the doubly-fed wind generation system in the time-frequency domain. The dominant oscillation mode is identified online through the relative energy of the wavelet, which is mutually verified by the FFT-based analysis results. Finally, a simulation model of a 2MW doubly-fed wind turbine is built in PSCAD/EMTDC, and the simulation results verified the correctness of the theoretical analysis. The research results provide a reference for fault diagnosis of doubly-fed wind generation systems.