Reviewing the peer-to-peer transactive energy market: Trading environment, optimization methodology, and relevant resources

Abstract

With the high penetration of renewable energy resources on the demand side, peer-to-peer (P2P) energy sharing has emerged as a promising method for consuming the surplus energy produced by energy prosumers. This paper reviews 180 papers and summarizes the recent development of P2P energy trading environment, including the market structure, market mechanism, trading platforms, social sciences. We also discuss the relevant policy based on the review of the state-of-the-art literature, pilot projects and industrial practice. The cooperative and non-cooperative game theory-based models are specifically classified. The optimization algorithms in distributed and centralized structures are studied thoroughly. Deep reinforcement learning and blockchain-based optimization are two vital research directions to simulate the optimization-seeking process in the P2P energy sharing market. The constraints of the system network are also reviewed to consider the physical constraints during energy trading. We present the methodology discussion to classify and compare these optimization methodologies. In this paper, the relevant resource-sharing markets are modeled as extended P2P energy sharing markets. Emission right sharing, negawatt sharing, and energy storage are all carefully reviewed. The coupling of the relevant resource sharing and conventional energy sharing is discussed carefully. We also provide the conclusions containing the prospects and possible questions of P2P energy sharing at the end of this article. It can be concluded from the review result that P2P energy sharing is a promising research direction of the transactive energy market from the perspectives of both academia and industry.