{"title":"Interval arithmetic in power flow analysis","authors":"Zi-Xian Wang, F. Alvarado","doi":"10.1109/PICA.1991.160622","DOIUrl":null,"url":null,"abstract":"Power flow analysis is the fundamental tool for the study of power systems. The data for this problem are subject to uncertainty. Interval arithmetic is used to solve the power flow problem. Interval arithmetic takes into consideration the uncertainty of the nodal information, and is able to provide strict bounds for the solutions to the problem: all possible solutions are included within the bounds given by interval arithmetic. Results are compared with those obtainable by Monte Carlo simulations and by the use of stochastic power flows. Object-oriented programming techniques makes it possible to use interval arithmetic with minimal modifications to existing software. However, to reduce the conservatism inherent in all interval arithmetic computations, an iterative method is used to obtain the hull of the solution set.<<ETX>>","PeriodicalId":287152,"journal":{"name":"[Proceedings] Conference Papers 1991 Power Industry Computer Application Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"272","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] Conference Papers 1991 Power Industry Computer Application Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICA.1991.160622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 272
Abstract
Power flow analysis is the fundamental tool for the study of power systems. The data for this problem are subject to uncertainty. Interval arithmetic is used to solve the power flow problem. Interval arithmetic takes into consideration the uncertainty of the nodal information, and is able to provide strict bounds for the solutions to the problem: all possible solutions are included within the bounds given by interval arithmetic. Results are compared with those obtainable by Monte Carlo simulations and by the use of stochastic power flows. Object-oriented programming techniques makes it possible to use interval arithmetic with minimal modifications to existing software. However, to reduce the conservatism inherent in all interval arithmetic computations, an iterative method is used to obtain the hull of the solution set.<>