{"title":"基于模糊滤波和proony算法的电力系统低频振荡在线辨识","authors":"Da hu Li, Yijia Cao, Guangzeng Wang","doi":"10.1109/ICPST.2006.321622","DOIUrl":null,"url":null,"abstract":"Prony algorithm can be used in online identification of power system low-frequency oscillation, but it is sensitive to the noise of the analysis data which will affect the analysis precision extremely. In this paper, a fuzzy filter and Prony algorithm based hybrid method is presented to identify the modes of low-frequency oscillation. Because the fuzzy filter can cancel the mixed noise rapidly and easily by fuzzy logic, the dominant mode of the low-frequency oscillation can be obtained relatively easily by Prony algorithm this time. Simulation results on active power oscillation of branch 302245 in Center China Power Grid (CCPG) and comparison results of different methods demonstrate the proposed method can provide more precise analysis results and prove its validity.","PeriodicalId":181574,"journal":{"name":"2006 International Conference on Power System Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Online Identification of Low-Frequency Oscillation in Power System based on Fuzzy Filter and Prony Algorithm\",\"authors\":\"Da hu Li, Yijia Cao, Guangzeng Wang\",\"doi\":\"10.1109/ICPST.2006.321622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prony algorithm can be used in online identification of power system low-frequency oscillation, but it is sensitive to the noise of the analysis data which will affect the analysis precision extremely. In this paper, a fuzzy filter and Prony algorithm based hybrid method is presented to identify the modes of low-frequency oscillation. Because the fuzzy filter can cancel the mixed noise rapidly and easily by fuzzy logic, the dominant mode of the low-frequency oscillation can be obtained relatively easily by Prony algorithm this time. Simulation results on active power oscillation of branch 302245 in Center China Power Grid (CCPG) and comparison results of different methods demonstrate the proposed method can provide more precise analysis results and prove its validity.\",\"PeriodicalId\":181574,\"journal\":{\"name\":\"2006 International Conference on Power System Technology\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Conference on Power System Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPST.2006.321622\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Power System Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPST.2006.321622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online Identification of Low-Frequency Oscillation in Power System based on Fuzzy Filter and Prony Algorithm
Prony algorithm can be used in online identification of power system low-frequency oscillation, but it is sensitive to the noise of the analysis data which will affect the analysis precision extremely. In this paper, a fuzzy filter and Prony algorithm based hybrid method is presented to identify the modes of low-frequency oscillation. Because the fuzzy filter can cancel the mixed noise rapidly and easily by fuzzy logic, the dominant mode of the low-frequency oscillation can be obtained relatively easily by Prony algorithm this time. Simulation results on active power oscillation of branch 302245 in Center China Power Grid (CCPG) and comparison results of different methods demonstrate the proposed method can provide more precise analysis results and prove its validity.
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