{"title":"A scalable energy internet approach for hop regulated peer-to-peer power trading with connectivity and preference constraints","authors":"Neethu Maya , Bala Kameshwar Poolla , Seshadhri Srinivasan , Alessandra Parisio , Narasimman Sundararajan , Suresh Sundaram","doi":"10.1016/j.segan.2025.101668","DOIUrl":null,"url":null,"abstract":"<div><div>Incentives to maximize Peer-to-Peer (P2P) power trading and the establishment of consumer-friendly distributed power markets are essential contributions to the decarbonization of the power sector. This paper presents a Connectivity and Preference Constrained Hop-Regulated Approach for Peer-to-Peer Trading (CPHPT) in sparsely connected communities with reduced infrastructure requirements. The CPHPT approach leverages graph theory to optimize P2P subscriber matching by regulating the maximum hops between the nodes in each routed path of P2P exchange. Simulations using real-world datasets in a 10-home community demonstrate that the CPHPT increases community participation by 29.49%, with P2P power exchanges comparable to full connectivity at reduced infrastructure requirements. When scaled to a 100-home community, the CPHPT approach achieves a marginal performance difference of 2.71% compared to full connectivity while lowering the connectivity infrastructure by 93.4%. The CPHPT approach has a mean runtime of 8.9 s for a 3-h window with 30-min intervals in a 100-home community, indicating its scalability and feasibility for real-time implementation.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101668"},"PeriodicalIF":4.8000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Grids & Networks","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352467725000505","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Incentives to maximize Peer-to-Peer (P2P) power trading and the establishment of consumer-friendly distributed power markets are essential contributions to the decarbonization of the power sector. This paper presents a Connectivity and Preference Constrained Hop-Regulated Approach for Peer-to-Peer Trading (CPHPT) in sparsely connected communities with reduced infrastructure requirements. The CPHPT approach leverages graph theory to optimize P2P subscriber matching by regulating the maximum hops between the nodes in each routed path of P2P exchange. Simulations using real-world datasets in a 10-home community demonstrate that the CPHPT increases community participation by 29.49%, with P2P power exchanges comparable to full connectivity at reduced infrastructure requirements. When scaled to a 100-home community, the CPHPT approach achieves a marginal performance difference of 2.71% compared to full connectivity while lowering the connectivity infrastructure by 93.4%. The CPHPT approach has a mean runtime of 8.9 s for a 3-h window with 30-min intervals in a 100-home community, indicating its scalability and feasibility for real-time implementation.
期刊介绍:
Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.