{"title":"Interface and data aggregation for modeling electric power systems with sector coupling technologies","authors":"Sebastian Bottler, T. Blenk, C. Weindl","doi":"10.1109/Diagnostika55131.2022.9905226","DOIUrl":null,"url":null,"abstract":"This paper explains the interface and data aggregation methods used for modeling electrical power grids featuring sector coupling technologies within the realm of the state-space-representation. It outlines the creation of node-specific load profiles in medium voltage distribution networks, which integrate the power contribution of sector coupling technologies. Additionally, an approach of modeling mixed-type cable routes is presented, which aims to minimize the system-matrices’ size, thus reducing the computational requirements of the load flow calculation.","PeriodicalId":374245,"journal":{"name":"2022 International Conference on Diagnostics in Electrical Engineering (Diagnostika)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Diagnostics in Electrical Engineering (Diagnostika)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Diagnostika55131.2022.9905226","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
This paper explains the interface and data aggregation methods used for modeling electrical power grids featuring sector coupling technologies within the realm of the state-space-representation. It outlines the creation of node-specific load profiles in medium voltage distribution networks, which integrate the power contribution of sector coupling technologies. Additionally, an approach of modeling mixed-type cable routes is presented, which aims to minimize the system-matrices’ size, thus reducing the computational requirements of the load flow calculation.