{"title":"N-1 Security-constrained Integration of Distributed Generators in Active Distribution Grids With Energy Storage Support","authors":"Jia Liu, Pingliang Zeng, Zhen He, Yalou Li, Qiuwei Wu","doi":"10.1109/EI250167.2020.9346745","DOIUrl":null,"url":null,"abstract":"This paper presents a distributed generator (DG) allocation model in active distribution networks considering energy storage support and system N-l security. Uncertainties associated with renewable energy generation, component contingency and load variation are considered using a set of representative scenarios. Active distribution network management schemes, i.e., on-load tap-changer voltage control, renewable DG curtailment and demand side management, are also inherent. Energy storage devices are integrated into the network to increase the energy utilization efficiency and improve more renewable energy accommodation. The system N-l security is quantitatively evaluated using the security distance defined in this paper. The original non-linear model is relaxed into a convex model using second-order conic programming, which is bearable with off-the-shelf solvers. Case study carried out on a 104-bus distribution grid validates the performance of the proposed method.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI250167.2020.9346745","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 presents a distributed generator (DG) allocation model in active distribution networks considering energy storage support and system N-l security. Uncertainties associated with renewable energy generation, component contingency and load variation are considered using a set of representative scenarios. Active distribution network management schemes, i.e., on-load tap-changer voltage control, renewable DG curtailment and demand side management, are also inherent. Energy storage devices are integrated into the network to increase the energy utilization efficiency and improve more renewable energy accommodation. The system N-l security is quantitatively evaluated using the security distance defined in this paper. The original non-linear model is relaxed into a convex model using second-order conic programming, which is bearable with off-the-shelf solvers. Case study carried out on a 104-bus distribution grid validates the performance of the proposed method.