Peer-to-Peer Electricity Trading for Prosumers in Distribution Network: A Nash Bargaining Approach

With the continuous improvement of the penetration rate of renewable energy as well as the maturity of information and communication technology, users involved in electricity trading are gradually transformed into power prosumers with dual attributes of power generation and consumption. The peer-to-peer electricity trading mode with prosumers as the center has also attracted widespread attention. This paper studies the day-ahead electricity trading problem of prosumers in distribution network. Firstly, the day-ahead scheduling and trading model of the prosumers is established. The conditional value-at-risk is used to measure loss caused by the uncertainty of renewable energy and load prediction, balancing the security and economy of power system. Secondly, Nash bargaining is introduced to reasonably allocate the benefits generated by direct transactions between prosumers. The original problem is transformed into two problems, namely, social cost minimization and payment benefit maximization. The alternating direction method of multipliers is used to divide coupling variables and solve the model under the premise of protecting the privacy of prosumers. Finally, an example is given to verify the effectiveness of the proposed model and method. The scheduling strategy and energy transaction cost of prosumers are obtained at the same time.