I. Kouveliotis-Lysikatos, M. Marín, Jon Olason, M. Amelin, L. Söder
{"title":"A Network Aggregation Tool for the Energy System Modelling Framework Spine","authors":"I. Kouveliotis-Lysikatos, M. Marín, Jon Olason, M. Amelin, L. Söder","doi":"10.1109/SEST48500.2020.9203526","DOIUrl":null,"url":null,"abstract":"Network reduction techniques are very useful for taming the complexity of simulating large interconnected power systems. In this paper, we present the implementation of a tool that performs a multi-area spatial network aggregation based on the generalized Radial Equivalent Independent (REI) methodology. The tool is integrated in Spine, an open source energy modelling framework currently under development. The main objective of Spine is to enable open, practical, flexible and realistic planning of future European energy grids. The validity and the efficacy of the reduction tool is investigated through a series of power flow scenarios for various test networks.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEST48500.2020.9203526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Network reduction techniques are very useful for taming the complexity of simulating large interconnected power systems. In this paper, we present the implementation of a tool that performs a multi-area spatial network aggregation based on the generalized Radial Equivalent Independent (REI) methodology. The tool is integrated in Spine, an open source energy modelling framework currently under development. The main objective of Spine is to enable open, practical, flexible and realistic planning of future European energy grids. The validity and the efficacy of the reduction tool is investigated through a series of power flow scenarios for various test networks.