Sistemas de Información Geográfica y software de Análisis de Sistemas Eléctricos de Potencia para la elaboración de una herramienta que determina el desequilibrio de carga en transformadores de distribución
Gastón Gimenez, Carlos A. Agüero, J. Vignerte, Daniel O. Anaut, G. D. Di Mauro, J. L. Strack
{"title":"Sistemas de Información Geográfica y software de Análisis de Sistemas Eléctricos de Potencia para la elaboración de una herramienta que determina el desequilibrio de carga en transformadores de distribución","authors":"Gastón Gimenez, Carlos A. Agüero, J. Vignerte, Daniel O. Anaut, G. D. Di Mauro, J. L. Strack","doi":"10.1109/ARGENCON55245.2022.9939960","DOIUrl":null,"url":null,"abstract":"This paper presents a methodology that allows using data loaded in a Geographic Information System (GIS) to determine the state of charge per phase and the current unbalance in a selected point of the network. For this purpose, real network data loaded in AutoCAD Map software are used and a low voltage electrical network is digitized and configured. Next, a simulation is carried out to obtain the current per phase delivered by the transformer that feeds this low voltage network, for different moments of a period of time. Among the results obtained, the elaboration of an index varying from 0 to 100% and taking into account a period of time considered, to reflect the degree of unbalance of the loads, stands out. Other parameters related to unbalance are also calculated. Finally, the results of the calculations are clearly visualized in the GIS environment through the development of an information block. This tool is of interest for the analysis of possible network reconfigurations to mitigate load imbalances and consequently improve the voltage profile and performance of the distribution network under analysis.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"53 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARGENCON55245.2022.9939960","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a methodology that allows using data loaded in a Geographic Information System (GIS) to determine the state of charge per phase and the current unbalance in a selected point of the network. For this purpose, real network data loaded in AutoCAD Map software are used and a low voltage electrical network is digitized and configured. Next, a simulation is carried out to obtain the current per phase delivered by the transformer that feeds this low voltage network, for different moments of a period of time. Among the results obtained, the elaboration of an index varying from 0 to 100% and taking into account a period of time considered, to reflect the degree of unbalance of the loads, stands out. Other parameters related to unbalance are also calculated. Finally, the results of the calculations are clearly visualized in the GIS environment through the development of an information block. This tool is of interest for the analysis of possible network reconfigurations to mitigate load imbalances and consequently improve the voltage profile and performance of the distribution network under analysis.