{"title":"ENHANCING NETWORK UTILISATION IN WIND-RICH REGIONS USING COORDINATED DYNAMIC LINE RATING, ENERGY STORAGE AND POWER FLOW CONTROL SCHEMES","authors":"B. Keyvani, M. Power, D. Flynn","doi":"10.1049/icp.2021.1380","DOIUrl":null,"url":null,"abstract":"Increasing wind energy utilisation, along with demand growth, are impacting on transmission system regional loading. Traditionally, uprating of existing lines and construction of new lines would have been common approaches to increase network capacity and reduce congestion. However, environmental, social, and technical challenges are encouraging network operators to apply measures which improve utilisation of the existing network, as part of future planning. Here, a mixed integer linear programming model is developed to integrate various alternative options, including dynamic line rating, energy storage systems and distributed static series compensation, into the network planning process. Using a multi-stage approach, co-optimised planning of these assets is studied and compared against a conventional reconductoring approach. The benefits of co-optimisation are shown for the IEEE RTS 24 bus system, with high wind contributions in selected regions.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"33 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/icp.2021.1380","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
Increasing wind energy utilisation, along with demand growth, are impacting on transmission system regional loading. Traditionally, uprating of existing lines and construction of new lines would have been common approaches to increase network capacity and reduce congestion. However, environmental, social, and technical challenges are encouraging network operators to apply measures which improve utilisation of the existing network, as part of future planning. Here, a mixed integer linear programming model is developed to integrate various alternative options, including dynamic line rating, energy storage systems and distributed static series compensation, into the network planning process. Using a multi-stage approach, co-optimised planning of these assets is studied and compared against a conventional reconductoring approach. The benefits of co-optimisation are shown for the IEEE RTS 24 bus system, with high wind contributions in selected regions.