Lightweight blockchain framework for location-aware peer-to-peer energy trading. (May 2021)

• Record Type: Journal Article
• Authors: Khorasany, Mohsen; Dorri, Ali; Razzaghi, Reza; Jurdak, Raja
• Is Part Of: International journal of electrical power & energy systems. Volume 127(2021)
• Publication Date: 2021-05
• Subjects: Blockchain -- Distributed energy resources (DER) -- Internet of Things (IoT) -- Peer-to-peer (P2P) trading -- Smart grid -- Transactive energy (TE); Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.106610
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A blockchain-enabled framework for Peer-to-Peer (P2P) energy trading. Decentralized market clearing without any need for third-party interventions. A novel Anonymous Proof of Location (A-PoL) algorithm to prove location of agents. Prioritizing trading partners based on their proximity and reputation factor. Abstract: Peer-to-peer (P2P) energy trading, as a new approach for energy management in smart grids, facilitates integration of a large number of small-scale producers and consumers into energy markets. Decentralized management of these new market participants is challenging in terms of market settlement, participant reputation and consideration of grid constraints. This paper proposes a blockchain-enabled framework for P2P energy trading among producer and consumer agents in a smart grid. A fully decentralized market settlement mechanism is designed, which does not rely on a centralized entity to settle the market and encourages producers and consumers to negotiate on energy trading with their nearby agents truthfully. To this end, the electrical distance of agents is considered in the pricing mechanism to encourage agents to trade with their neighboring agents. In addition, a reputation factor is considered for each agent, reflecting its past performance in delivering the committed energy. Before starting the negotiation, agents select their trading partners based on their preferences over the reputation and proximity of the trading partners. An Anonymous Proof of Location (A-PoL) algorithm is proposed that allows agents to prove their location without revealing their real identity. The practicality of the proposed framework is illustrated through several case studies, and its security and privacy are analyzed in detail.