{"title":"A prosumer reliability-enhanced method coupling post-fault reconfiguration and P2P trading","authors":"","doi":"10.1016/j.apenergy.2024.124354","DOIUrl":null,"url":null,"abstract":"<div><p>Emerging market-based mechanims provide an effective way to satisfy consumers' differentiated reliability preferences and improve system reliability level. However, these mechanisms also increase the difficulty in determining the optimal post-fault network topology. To address the issues, this paper develops a prosumer reliability-enhanced method coupling post-fault reconfiguration and peer-to-peer (P2P) trading. Specifically, a bi-level optimization model is proposed where comprehensive cost paid by distribution system operator (DSO) is minimized in the upper level and prosumers' post-fault payoffs are maximized through multi‑leaders multi-followers (MLMF) game in the lower level. Then, a hierarchical distributed algorithm is designed to protect prosumers privacy in post-fault reconfiguration and P2P trading simultaneously. Numerical results authenticate that the proposed reliability enhancement method increases total social welfare and achieves win-win situation between DSO and prosumers.</p></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":null,"pages":null},"PeriodicalIF":10.1000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306261924017379","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Emerging market-based mechanims provide an effective way to satisfy consumers' differentiated reliability preferences and improve system reliability level. However, these mechanisms also increase the difficulty in determining the optimal post-fault network topology. To address the issues, this paper develops a prosumer reliability-enhanced method coupling post-fault reconfiguration and peer-to-peer (P2P) trading. Specifically, a bi-level optimization model is proposed where comprehensive cost paid by distribution system operator (DSO) is minimized in the upper level and prosumers' post-fault payoffs are maximized through multi‑leaders multi-followers (MLMF) game in the lower level. Then, a hierarchical distributed algorithm is designed to protect prosumers privacy in post-fault reconfiguration and P2P trading simultaneously. Numerical results authenticate that the proposed reliability enhancement method increases total social welfare and achieves win-win situation between DSO and prosumers.
期刊介绍:
Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.