{"title":"区域间功率振荡识别使用同步的环境和环衰数据","authors":"H. Ali","doi":"10.1109/ICITEED.2013.6676271","DOIUrl":null,"url":null,"abstract":"This paper presents inter-area power oscillation identification based on the synchronized PMU data. The identification is carried out during both ringdown and ambient condition. Prony analysis is used to identify the mode during ring-down condition. While, modified Yule-Walker (MYW) is deployed during ambient condition. To verify the result of identification, it is compared to modal analysis result. The benchmark two-area test system is used to demonstrated the identification process. The result shows that it is close to result from modal analysis. Thus, it indicates that both algorithms are promising for online monitoring of inter-area power oscillation.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Inter-area power oscillation identification using synchronized ambient and ringdown data\",\"authors\":\"H. Ali\",\"doi\":\"10.1109/ICITEED.2013.6676271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents inter-area power oscillation identification based on the synchronized PMU data. The identification is carried out during both ringdown and ambient condition. Prony analysis is used to identify the mode during ring-down condition. While, modified Yule-Walker (MYW) is deployed during ambient condition. To verify the result of identification, it is compared to modal analysis result. The benchmark two-area test system is used to demonstrated the identification process. The result shows that it is close to result from modal analysis. Thus, it indicates that both algorithms are promising for online monitoring of inter-area power oscillation.\",\"PeriodicalId\":204082,\"journal\":{\"name\":\"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEED.2013.6676271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2013.6676271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Inter-area power oscillation identification using synchronized ambient and ringdown data
This paper presents inter-area power oscillation identification based on the synchronized PMU data. The identification is carried out during both ringdown and ambient condition. Prony analysis is used to identify the mode during ring-down condition. While, modified Yule-Walker (MYW) is deployed during ambient condition. To verify the result of identification, it is compared to modal analysis result. The benchmark two-area test system is used to demonstrated the identification process. The result shows that it is close to result from modal analysis. Thus, it indicates that both algorithms are promising for online monitoring of inter-area power oscillation.