Blockchain and Edge Computing Based Vehicle-to-Grid Energy Trading in Energy Internet

Abstract

Energy deficiency and carbon emission are two increasingly grave issues recently. Energy Internet (EI), as a promising solution, has received extensive attentions globally. Among numerous key technologies and practice of EI, vehicle to grid (V2G) provides a feasible solution to reduce the level of demand-supply mismatch by leveraging the bidirectional energy-trading capabilities of electric vehicles (EVs). In this paper, we propose a secure and efficient V2G energy trading framework by exploring blockchain and edge computing. First, we develop a consortium blockchain-based secure energy trading mechanism for V2G. Then, edge computing has been incorporated to improve the successful probability of block creation. The computational resource allocation problem is modeled as a two-stage Stackelberg leader-follower game, and the optimal strategies are obtained by using the backward induction approach. Finally, the performance of the proposed framework is validated via numerical results and theoretical analysis.