Distributed Optimal Scheduling for Prosumers in DN Based on P2P Trading Reputation Mechanism

Incorporating the reputation mechanism into the distributed scheduling of distribution network (DN) prosumer groups containing peer-to-peer (P 2 P) transactions serves to prompt prosumers to govern their trading behavior, ensure the efficiency of P2P transactions as well as improve the reliability of DN operation. First, this paper takes the DN composed of highpenetration prosumers containing photovoltaic, wind power, energy storage systems, and controllable loads as the research object. It establishes an interaction platform that allows $\mathbf{P 2 P}$ transactions among prosumers and between prosumers and the main grid to improve the flexibility of the user-side resources fully. Then, an iterative reputation quantification mechanism is proposed. Under this mechanism, the prosumers’ reputation is computed as the likelihood of prosumers providing fair ratings to P2P trading objects. Moreover, the ratings from prosumers with high reputation carry more weight in determining the proportion of fair/unfair ratings. The distributed optimal scheduling model for prosumers in DN is developed by using incentive coefficients related to reputation. Finally, a modified IEEE 33-nodes system is used to analyze and verify the effectiveness of the method proposed in this paper.