{"title":"Comparison of Current Probabilistic Power Flow Calculation Based on Cumulated Method","authors":"Siyuan Hou, Yipeng Li","doi":"10.1109/icomssc45026.2018.8941616","DOIUrl":null,"url":null,"abstract":"The probabilistic load flow distribution of power system is calculated based on Cornish-Fisher expansion, which constructs the immediate relationship between unknown and known variables with the cumulated as a link and takes a deterministic load flow calculation as the starting point to generate the probabilistic load flow distribution function with high accuracy. Simulative results show that, compared with the Monte Carlo simulation sampling method, the proposed method enhances the computational speed significantly while maintains the computational accuracy.","PeriodicalId":332213,"journal":{"name":"2018 International Computers, Signals and Systems Conference (ICOMSSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Computers, Signals and Systems Conference (ICOMSSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icomssc45026.2018.8941616","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
The probabilistic load flow distribution of power system is calculated based on Cornish-Fisher expansion, which constructs the immediate relationship between unknown and known variables with the cumulated as a link and takes a deterministic load flow calculation as the starting point to generate the probabilistic load flow distribution function with high accuracy. Simulative results show that, compared with the Monte Carlo simulation sampling method, the proposed method enhances the computational speed significantly while maintains the computational accuracy.