{"title":"PMU放置位置的优先顺序","authors":"Amamihe Onwuachumba, M. Musavi, P. Lerley","doi":"10.1109/GREENTECH.2017.33","DOIUrl":null,"url":null,"abstract":"This paper presents a methodology for prioritizing bus locations of a power system for PMU placement. This is based on the identification of strategically important locations of power systems using eigenvalue analysis of the measurements of the system variables. The eigenvalue analysis was implemented using Principal Component Analysis (PCA) and the methodology was tested on the IEEE 118-bus system. The methodology was validated by demonstrating the effectiveness of monitoring the identified strategically important locations of the IEEE 118-bus system in ensuring steady state system security.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prioritization of Locations for PMU Placement\",\"authors\":\"Amamihe Onwuachumba, M. Musavi, P. Lerley\",\"doi\":\"10.1109/GREENTECH.2017.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a methodology for prioritizing bus locations of a power system for PMU placement. This is based on the identification of strategically important locations of power systems using eigenvalue analysis of the measurements of the system variables. The eigenvalue analysis was implemented using Principal Component Analysis (PCA) and the methodology was tested on the IEEE 118-bus system. The methodology was validated by demonstrating the effectiveness of monitoring the identified strategically important locations of the IEEE 118-bus system in ensuring steady state system security.\",\"PeriodicalId\":104496,\"journal\":{\"name\":\"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GREENTECH.2017.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GREENTECH.2017.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a methodology for prioritizing bus locations of a power system for PMU placement. This is based on the identification of strategically important locations of power systems using eigenvalue analysis of the measurements of the system variables. The eigenvalue analysis was implemented using Principal Component Analysis (PCA) and the methodology was tested on the IEEE 118-bus system. The methodology was validated by demonstrating the effectiveness of monitoring the identified strategically important locations of the IEEE 118-bus system in ensuring steady state system security.