{"title":"Prioritising Deployment of Flexible Resources for Efficient Operation of Interconnected Transmission Systems","authors":"Mengxuan Wang, J. Ponoćko, J. Milanović","doi":"10.1109/ICEST58410.2023.10187377","DOIUrl":null,"url":null,"abstract":"This paper introduces a Morris Screening-based sensitivity analysis (MSSA) for identifying the most influential of the available parameters, namely, real and reactive power of flexible loads and renewable energy resources (RES), aimed to support congestion management and voltage regulation in interconnected transmission systems. The methodology considers cross-border resources (demand side management (DSM) and RES assets) and serves to identify how the ranking order (priority of deployment) varies depending on the operating conditions (network loading and RES generation), the type of the study method (DC or AC-based power flow) and the consideration of the capacity of flexible resources. The results have shown that priority of deployment is highly dependent on RES penetration level as it can visibly change the ranking order (level of influence) of the considered parameters.","PeriodicalId":278683,"journal":{"name":"2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEST58410.2023.10187377","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 introduces a Morris Screening-based sensitivity analysis (MSSA) for identifying the most influential of the available parameters, namely, real and reactive power of flexible loads and renewable energy resources (RES), aimed to support congestion management and voltage regulation in interconnected transmission systems. The methodology considers cross-border resources (demand side management (DSM) and RES assets) and serves to identify how the ranking order (priority of deployment) varies depending on the operating conditions (network loading and RES generation), the type of the study method (DC or AC-based power flow) and the consideration of the capacity of flexible resources. The results have shown that priority of deployment is highly dependent on RES penetration level as it can visibly change the ranking order (level of influence) of the considered parameters.