Nut Soykacw, N. Teerakawanich, S. Dechanupaprittha
{"title":"Estimation of Electromechanical Mode Based on Synchrophasor Data","authors":"Nut Soykacw, N. Teerakawanich, S. Dechanupaprittha","doi":"10.1109/IEECON.2018.8712172","DOIUrl":null,"url":null,"abstract":"An improved method for estimation of dominant electromechanical mode based on synchrophasor data of interconnected smart grids is proposed. By using synchrophasor measurement, a simplified oscillation model (SOM) and Prony method based on the most recent data can be employed for detection and assessment of estimated inter-area modes. However, some operating conditions, the estimated model is not accurate by means of SOM and prony methods. The proposed method observes decaying signal period. Then, a dominant oscillation mode is evaluated based on synchrophasor data to obtain dominant frequency and damping factor. Finally, the proposed method is compared to existing methods (SOM and Prony) by using simulated synchrophasor data from two-area smart grids.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"62 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Electrical Engineering Congress (iEECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEECON.2018.8712172","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
An improved method for estimation of dominant electromechanical mode based on synchrophasor data of interconnected smart grids is proposed. By using synchrophasor measurement, a simplified oscillation model (SOM) and Prony method based on the most recent data can be employed for detection and assessment of estimated inter-area modes. However, some operating conditions, the estimated model is not accurate by means of SOM and prony methods. The proposed method observes decaying signal period. Then, a dominant oscillation mode is evaluated based on synchrophasor data to obtain dominant frequency and damping factor. Finally, the proposed method is compared to existing methods (SOM and Prony) by using simulated synchrophasor data from two-area smart grids.