Two-Stage Credit Management for Peer-to-Peer Electricity Trading in Consortium Blockchain

Peer-to-peer (P2P) electricity trading in a blockchain environment has established the foundation of trust among microgrids. However, the default behaviors caused by uncertainties associated with renewable energy and microgrids profit-seeking still trigger a crisis of trust. Therefore, this study proposes a two-stage credit management strategy (TSCMS) for P2P electricity trading among microgrids to reduce the default behaviors, which contains credit-based risk control optimization stage and credit-based P2P electricity trading stage. In the first stage, a robust control optimization of credit-based risk preference is proposed to realize flexible management of renewable energy uncertainty through adaptive robustness factor, thus well balancing the reliability and economy of trading. In the second stage, a queuing priority is provided using equivalent price conversion to realize credit-based rewards and punishments. Experimental results show that the proposed TSCMS can enhance the trust of microgrids and create a reliable trading environment.