{"title":"基于多潮流解的病态电力系统电压不稳定接近指数(VIPI","authors":"Y. Tamura, K. Sakamoto, Y. Tayama","doi":"10.1109/CDC.1988.194707","DOIUrl":null,"url":null,"abstract":"The authors deal with an index for predicting voltage instability, based on the relationship between voltage instability and multiple-load flow solutions. After comparison of several indices for two scenarios, the effectiveness of the VIPI (voltage instability proximity index) is shown. This index is computed from multiple-load-flow solutions and can be used for monitoring the system state.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"92","resultStr":"{\"title\":\"Voltage instability proximity index (VIPI) based on multiple load flow solutions in ill-conditioned power systems\",\"authors\":\"Y. Tamura, K. Sakamoto, Y. Tayama\",\"doi\":\"10.1109/CDC.1988.194707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors deal with an index for predicting voltage instability, based on the relationship between voltage instability and multiple-load flow solutions. After comparison of several indices for two scenarios, the effectiveness of the VIPI (voltage instability proximity index) is shown. This index is computed from multiple-load-flow solutions and can be used for monitoring the system state.<<ETX>>\",\"PeriodicalId\":113534,\"journal\":{\"name\":\"Proceedings of the 27th IEEE Conference on Decision and Control\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"92\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 27th IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1988.194707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 27th IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1988.194707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Voltage instability proximity index (VIPI) based on multiple load flow solutions in ill-conditioned power systems
The authors deal with an index for predicting voltage instability, based on the relationship between voltage instability and multiple-load flow solutions. After comparison of several indices for two scenarios, the effectiveness of the VIPI (voltage instability proximity index) is shown. This index is computed from multiple-load-flow solutions and can be used for monitoring the system state.<>