In-tae Lee, Ji-Hoon Lee, Nam-Joon Jung, Young-beom Jung, Byung-sung Lee
{"title":"Study on DAS-Based Time Synchronization for Improving Reliability of Section Load Estimation","authors":"In-tae Lee, Ji-Hoon Lee, Nam-Joon Jung, Young-beom Jung, Byung-sung Lee","doi":"10.18770/KEPCO.2015.01.01.061","DOIUrl":null,"url":null,"abstract":"Abstract For effective distribution planning and operation, we need a reliable estimation of operation capacity. But it is difficult to ensure reliability due to the low accuracy of section load data, which is used as a basis in estimating the operation capacity. This paper discusses how to improve the accuracy of section load data by analyzing the existing method of estimating the section load, using statistical techniques to adjust the acquired data, and using the section load estimation algorithm to estimate the section load based on the adjusted data. Keywords : DAS, time synchronization, section load, estimation reliability I. INTRODUCTION It is essential to estimate the section load correctly considering the actual status of the line for distribution planning and operation. The existing method of estimating the section load data based on the distribution automation system is not correct and so it is only used for reference in operating the actual distribution systems. The data is not correct, because the useful voltage data is not acquired from the distribution switch and also because the current data is not time-synchronized at the switch and there are some missing data sections.This paper discusses how to improve the accuracy of section load data by analyzing the existing method of using the distribution automation system to estimate the section load and identify problems, using statistical techniques to adjust the acquired data, and using the section load estimation algorithm to estimate the section load based on the adjusted data [1].","PeriodicalId":445819,"journal":{"name":"KEPCO Journal on electric power and energy","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"KEPCO Journal on electric power and energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18770/KEPCO.2015.01.01.061","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
Abstract For effective distribution planning and operation, we need a reliable estimation of operation capacity. But it is difficult to ensure reliability due to the low accuracy of section load data, which is used as a basis in estimating the operation capacity. This paper discusses how to improve the accuracy of section load data by analyzing the existing method of estimating the section load, using statistical techniques to adjust the acquired data, and using the section load estimation algorithm to estimate the section load based on the adjusted data. Keywords : DAS, time synchronization, section load, estimation reliability I. INTRODUCTION It is essential to estimate the section load correctly considering the actual status of the line for distribution planning and operation. The existing method of estimating the section load data based on the distribution automation system is not correct and so it is only used for reference in operating the actual distribution systems. The data is not correct, because the useful voltage data is not acquired from the distribution switch and also because the current data is not time-synchronized at the switch and there are some missing data sections.This paper discusses how to improve the accuracy of section load data by analyzing the existing method of using the distribution automation system to estimate the section load and identify problems, using statistical techniques to adjust the acquired data, and using the section load estimation algorithm to estimate the section load based on the adjusted data [1].