{"title":"电力系统状态转移的信息理论指标","authors":"Lingyu Ren, Peng Zhang, Hua Ye","doi":"10.1109/PESGM.2015.7286525","DOIUrl":null,"url":null,"abstract":"A regime shift occurs when a dynamical system's state shifts from a nominal equilibrium to an alternative equilibrium. This concept is often used to describe the collapse of ecological systems, but it also appears in many engineering systems; most notably in the voltage collapse of power systems. This paper uses an information theoretic index known as the Fisher Information (FI) as a real-time statistical index detecting regime shifts in a stressed IEEE 118 bus system. These preliminary experiments demonstrate that the FI index indeed provide early warning of abnormal operations leading to voltage instability. As a data driven method the proposed FI index provides a useful tool supporting the real-time monitoring of power system operations.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information theoretic index for regime shifts in power systems\",\"authors\":\"Lingyu Ren, Peng Zhang, Hua Ye\",\"doi\":\"10.1109/PESGM.2015.7286525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A regime shift occurs when a dynamical system's state shifts from a nominal equilibrium to an alternative equilibrium. This concept is often used to describe the collapse of ecological systems, but it also appears in many engineering systems; most notably in the voltage collapse of power systems. This paper uses an information theoretic index known as the Fisher Information (FI) as a real-time statistical index detecting regime shifts in a stressed IEEE 118 bus system. These preliminary experiments demonstrate that the FI index indeed provide early warning of abnormal operations leading to voltage instability. As a data driven method the proposed FI index provides a useful tool supporting the real-time monitoring of power system operations.\",\"PeriodicalId\":423639,\"journal\":{\"name\":\"2015 IEEE Power & Energy Society General Meeting\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Power & Energy Society General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESGM.2015.7286525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Power & Energy Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESGM.2015.7286525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information theoretic index for regime shifts in power systems
A regime shift occurs when a dynamical system's state shifts from a nominal equilibrium to an alternative equilibrium. This concept is often used to describe the collapse of ecological systems, but it also appears in many engineering systems; most notably in the voltage collapse of power systems. This paper uses an information theoretic index known as the Fisher Information (FI) as a real-time statistical index detecting regime shifts in a stressed IEEE 118 bus system. These preliminary experiments demonstrate that the FI index indeed provide early warning of abnormal operations leading to voltage instability. As a data driven method the proposed FI index provides a useful tool supporting the real-time monitoring of power system operations.