M. M. Othman, S. R. Kasim, N. A. Salim, I. Musirin
{"title":"Risk based uncertainty (RibUt) of power system considering the increased of load demand","authors":"M. M. Othman, S. R. Kasim, N. A. Salim, I. Musirin","doi":"10.1109/PEOCO.2012.6230907","DOIUrl":null,"url":null,"abstract":"Disturbance to the electric power system often occurs with different impact. Those power system disturbances cannot be avoided but it can be mitigated by having a premeditated action which refers to the risk assessment. This paper presents the bootstrap technique that used to assess the risk of a power system at every uncertainty level of system states and load variations. In addition, the risk based uncertainty assessment is determined when the load is increased by 20%, 40% and 60% from the base case condition. The effectiveness of bootstrap technique in risk based uncertainty assessment is tested on a case study of 24-bus IEEE Reliability Test System (RTS).","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEOCO.2012.6230907","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Disturbance to the electric power system often occurs with different impact. Those power system disturbances cannot be avoided but it can be mitigated by having a premeditated action which refers to the risk assessment. This paper presents the bootstrap technique that used to assess the risk of a power system at every uncertainty level of system states and load variations. In addition, the risk based uncertainty assessment is determined when the load is increased by 20%, 40% and 60% from the base case condition. The effectiveness of bootstrap technique in risk based uncertainty assessment is tested on a case study of 24-bus IEEE Reliability Test System (RTS).