Yuanrui Sang, M. Sahraei-Ardakani, Jiayue Xue, Ge Ou
{"title":"Comparing a New Power System Preventive Operation Method with a Conventional Industry Practice during Hurricanes","authors":"Yuanrui Sang, M. Sahraei-Ardakani, Jiayue Xue, Ge Ou","doi":"10.1109/NAPS46351.2019.9000208","DOIUrl":null,"url":null,"abstract":"Extreme weather is a leading cause of power outages in the U.S., and preventive operation is an effective approach to reduce outages in the operations phase. Currently, a common industry practice for preventive operation is to turn on all the units in a system during extreme weather. In this study, a preventive unit commitment (UC) model is presented to reduce transmission-induced outages during hurricanes. In this model, transmission contingency scenarios are generated based on wind speed, and then these scenarios are used in a stochastic UC model to obtain UC results with a goal of reducing outages in the system. The presented preventive operations method is compared with the business-as-usual model and the turn-on-all-units method, and results show that the presented method can reduce outages from the business-as-usual model as effective as the turn-on-all-units method with a much lower operating cost.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS46351.2019.9000208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Extreme weather is a leading cause of power outages in the U.S., and preventive operation is an effective approach to reduce outages in the operations phase. Currently, a common industry practice for preventive operation is to turn on all the units in a system during extreme weather. In this study, a preventive unit commitment (UC) model is presented to reduce transmission-induced outages during hurricanes. In this model, transmission contingency scenarios are generated based on wind speed, and then these scenarios are used in a stochastic UC model to obtain UC results with a goal of reducing outages in the system. The presented preventive operations method is compared with the business-as-usual model and the turn-on-all-units method, and results show that the presented method can reduce outages from the business-as-usual model as effective as the turn-on-all-units method with a much lower operating cost.