In order to reduce the abandonment of wind and solar energy and increase the revenue of photovoltaicwind power plant clusters with self-equipped energy storage

a collaborative optimal scheduling model of photovoltaic-wind-battery cluster based on cooperative game is proposed. Firstly

the working mechanism of the photovoltaic-wind-battery cluster alliance is designed. Secondly

the revenue model of the photovoltaic-windbattery cluster alliance that considers the power sales revenue of power stations

revenue of reducing the penalty of abandoning wind and solar power

revenue of reducing the penalty of planned power generation errors and the transmission cost is established. On this basis

a collaborative optimal scheduling model of photovoltaic-windbattery cluster based on cooperative game is established

and the particle swarm optimization algorithm is used to solve the optimization model. Furthermore

based on the Shapley value

the revenue distribution strategy of the photovoltaic-wind-battery cluster alliance is given. Finally

a case analysis is carried out based on the actual output data of the photovoltaic-wind power plant clusters

and the results show that

the proposed scheduling model can effectively improve the income of the photovoltaic-wind-battery cluster alliance and ensure the stability of the cluster alliance.