{"title":"An Optimal Phasor Measurement Unit (PMU) Placement Algorithm with (N-1) Contingency Using Integer Linear Programming (ILP)","authors":"Aaron Kyle Monton, Vanessa Larioza, M. Pacis","doi":"10.1109/I2CACIS52118.2021.9495901","DOIUrl":null,"url":null,"abstract":"Obtaining a good Phasor Measurement Unit (PMU) placement equates with having to deal with less power system demands. It allows the monitoring and maintenance of the network at high precision. In this paper, the researchers formed an algorithm wherein an output of where the PMU should be placed to obtain a complete observable network along with the ranking and screening of all N-1 Contingency is obtained through presenting different cases of IEEE buses largely for IEEE-6, IEEE-9, IEEE-14, and IEEE-30 bus system. This allows that evaluation of the severity of each outage that might occur on a given network. Also, the researchers made use of Gauss-Seidel Method for the algorithm’s load flow and Voltage-Reactive Performance Index in determining the severity of each outage while, the utilization of Integer Linear Programming was used on determining the proper PMU Placement.","PeriodicalId":210770,"journal":{"name":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2CACIS52118.2021.9495901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Obtaining a good Phasor Measurement Unit (PMU) placement equates with having to deal with less power system demands. It allows the monitoring and maintenance of the network at high precision. In this paper, the researchers formed an algorithm wherein an output of where the PMU should be placed to obtain a complete observable network along with the ranking and screening of all N-1 Contingency is obtained through presenting different cases of IEEE buses largely for IEEE-6, IEEE-9, IEEE-14, and IEEE-30 bus system. This allows that evaluation of the severity of each outage that might occur on a given network. Also, the researchers made use of Gauss-Seidel Method for the algorithm’s load flow and Voltage-Reactive Performance Index in determining the severity of each outage while, the utilization of Integer Linear Programming was used on determining the proper PMU Placement.