Pub Date : 2024-08-30DOI: 10.1109/tsg.2024.3452095
Tong Han, Yue Song, Tao Liu, David J. Hill
{"title":"Topology Control for Multimicrogrid Stabilization","authors":"Tong Han, Yue Song, Tao Liu, David J. Hill","doi":"10.1109/tsg.2024.3452095","DOIUrl":"https://doi.org/10.1109/tsg.2024.3452095","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"55 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-30DOI: 10.1109/tsg.2024.3452064
Jianpei Han, Yuchen Fang, Yaowang Li, Ershun Du, Ning Zhang
{"title":"Optimal Planning of Multi-Microgrid System with Shared Energy Storage Based on Capacity Leasing and Energy Sharing","authors":"Jianpei Han, Yuchen Fang, Yaowang Li, Ershun Du, Ning Zhang","doi":"10.1109/tsg.2024.3452064","DOIUrl":"https://doi.org/10.1109/tsg.2024.3452064","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"19 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In multi-agent active distribution networks, the information exchanges in the ADMM algorithm for the decentralized distribution-level optimal power flow (D-OPF) may expose sensitive load flows of tie-lines across adjacent agents. This may be overheard by adversarial agents for business competition. To preserve this privacy, this paper proposes a differentially private consensus ADMM (DP-C-ADMM) algorithm, which can offer a mixture solution of both realistically optimal generator outputs and obfuscated-but-feasible load flows of tie-lines. And $epsilon -$