{"title":"Introducing prob-a-sag - a probabilistic method for voltage sag management","authors":"P. Pohjanheimo, M. Lehtonen","doi":"10.1109/ICHQP.2004.1409362","DOIUrl":null,"url":null,"abstract":"Comprehensive voltage sag management in a power distribution system includes the technical and economic impact of sags, annual frequency of sags, as well as the effect of possible mitigative means. A probabilistic approach is required for performing the task in complicated industrial processes. Prob-a-sag is a novel method combining all these features. Two-dimensional arrays are used for expressing the quantities and carrying out the analysis or optimization. Equipment sag sensitivity is expressed as tripping probability, which enables the probabilistic sensitivity assessment of a large process. The method is very flexible; increasing the array resolution improves the result precision. If sag quantities other than depth and duration are preferred, we may increase the number of array dimensions accordingly. Prob-a-sag is compatible with any spreadsheet application, or may be implemented in sophisticated network analysis software.","PeriodicalId":406398,"journal":{"name":"2004 11th International Conference on Harmonics and Quality of Power (IEEE Cat. No.04EX951)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 11th International Conference on Harmonics and Quality of Power (IEEE Cat. No.04EX951)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHQP.2004.1409362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Comprehensive voltage sag management in a power distribution system includes the technical and economic impact of sags, annual frequency of sags, as well as the effect of possible mitigative means. A probabilistic approach is required for performing the task in complicated industrial processes. Prob-a-sag is a novel method combining all these features. Two-dimensional arrays are used for expressing the quantities and carrying out the analysis or optimization. Equipment sag sensitivity is expressed as tripping probability, which enables the probabilistic sensitivity assessment of a large process. The method is very flexible; increasing the array resolution improves the result precision. If sag quantities other than depth and duration are preferred, we may increase the number of array dimensions accordingly. Prob-a-sag is compatible with any spreadsheet application, or may be implemented in sophisticated network analysis software.