{"title":"Flexibility service market for active congestion management of distribution networks using flexible energy resources of microgrids","authors":"E. Amicarelli, T. Q. Tran, S. Bacha","doi":"10.1109/ISGTEurope.2017.8260198","DOIUrl":null,"url":null,"abstract":"Nowadays in Europe, more than 90% of solar and wind plants are connected to distribution grids causing technical issues and increase of costs. Network reinforcement may not be the most efficient and cost-efficient solution. Therefore, smart strategies exploiting users' flexibilities need to be developed in order to efficiently manage current grid infrastructure. In this paper, a framework to develop a flexibility service market for active management of distribution grids will be discussed. Moreover, an optimization model for day-ahead congestion management scheduling based on available generation flexibilities in microgrids is proposed. The effectiveness of the proposed model for both distribution system operators and microgrids is tested with a case study using a 74-bus distribution network with connected three microgrids. The results are compared with network reinforcement expenses.","PeriodicalId":345050,"journal":{"name":"2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEurope.2017.8260198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28
Abstract
Nowadays in Europe, more than 90% of solar and wind plants are connected to distribution grids causing technical issues and increase of costs. Network reinforcement may not be the most efficient and cost-efficient solution. Therefore, smart strategies exploiting users' flexibilities need to be developed in order to efficiently manage current grid infrastructure. In this paper, a framework to develop a flexibility service market for active management of distribution grids will be discussed. Moreover, an optimization model for day-ahead congestion management scheduling based on available generation flexibilities in microgrids is proposed. The effectiveness of the proposed model for both distribution system operators and microgrids is tested with a case study using a 74-bus distribution network with connected three microgrids. The results are compared with network reinforcement expenses.