Virtual power plant(VPP)is an energy service provider integrating load and distributed energy

which is also a new type of online market transaction mode. On one hand

internal members of VPP have independent property and on the other

electricity price and electricity quantity bidding act in order. After taking into account the above-mentioned essentials

a bidding model for VPP based on the dynamic game theory is developed using the Stackelberg game theory. Considering the output fluctuation and forecasting error of wind turbine

photovoltaic and load

the electricity price bidding model and electricity quantity bidding model are built

respectively. Based on the principal and subordinate hierarchical relation between the two submodels

the equilibrium solution of the model is obtained using the first-order optimality condition and the particle swarm intelligence optimization algorithm. Thus the transaction price and dispatching scheme of the VPP are determined. Finally

the model is simulated

the revenues from electricity price and electricity quantity bidding results in different scenarios are discussed to verify the validity of the model.