{"title":"基于多元回归的多馈入直流系统静态电压稳定性分析","authors":"E. Li, X. Chu, Minghui Yang","doi":"10.1109/APPEEC.2016.7779484","DOIUrl":null,"url":null,"abstract":"Stability issues will arise with multiple HVDC links feeding an AC power network, among which voltage stability is of great significance. In this paper, the quantitative relationship is obtained between static voltage stability and the associated factors by using the multivariate regression analysis. The information aggregation approach is employed to derive independent variables for constructing a multivariate regression model. Simulation results on a five-infeed HVDC system verify the effectiveness of the method.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Static voltage stability analysis for multi-infeed HVDC systems based on multivariate regression\",\"authors\":\"E. Li, X. Chu, Minghui Yang\",\"doi\":\"10.1109/APPEEC.2016.7779484\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stability issues will arise with multiple HVDC links feeding an AC power network, among which voltage stability is of great significance. In this paper, the quantitative relationship is obtained between static voltage stability and the associated factors by using the multivariate regression analysis. The information aggregation approach is employed to derive independent variables for constructing a multivariate regression model. Simulation results on a five-infeed HVDC system verify the effectiveness of the method.\",\"PeriodicalId\":117485,\"journal\":{\"name\":\"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APPEEC.2016.7779484\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APPEEC.2016.7779484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Static voltage stability analysis for multi-infeed HVDC systems based on multivariate regression
Stability issues will arise with multiple HVDC links feeding an AC power network, among which voltage stability is of great significance. In this paper, the quantitative relationship is obtained between static voltage stability and the associated factors by using the multivariate regression analysis. The information aggregation approach is employed to derive independent variables for constructing a multivariate regression model. Simulation results on a five-infeed HVDC system verify the effectiveness of the method.
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