Energy storage is an important means to promote new energy consumption

and its revenue-oriented operational decision-making is constrained by multiple factors. Aiming at the problem of cooperative operation decision-making and revenue allocation between energy storage power station and wind power cluster

this paper proposes a day-ahead and real-time decision-making optimization method for cooperative operation of energy storage power station and wind power cluster based on Nash negotiation theory. The breaking point of Nash negotiation is calculated by combining the independent operation model of energy storage power station and wind power cluster

an energy storage power station and wind power cluster cooperative operation model is constructed for the day-ahead stage based on the Nash negotiation theory

and is translated into two sub-models of the alliance benefit maximization and revenue allocation equivalently to solve the alliance optimal operational decision-making and revenue allocation problem’s respectively; moreover

the revenue of each wind farm in the wind power cluster is allocated by using the Shapley value method. The alliance operation decision on a rolling basis is optimized for the real-time stage according to the real-time SOC status of the energy storage power station and the ultra-short-term power prediction results of wind power. The example analysis of the cooperative operation of wind power cluster and energy storage shows that the benefits of energy storage and wind power cluster increase by 7.23% and 1.45%

respectively

after the cooperative operation

and the effectiveness of the proposed method is verified

which can maximize the overall benefits of the alliance while guaranteeing the fairness of the participation of each subject and the reasonableness of the income distribution.