Hybrid Game-based Distribution Network and Multi-virtual Power Plant Co-optimization
Yujie Huang *
School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing-211167, China.
*Author to whom correspondence should be addressed.
Abstract
This paper proposes a hybrid game-based distribution network-multi-virtual power plant cooperative operation strategy for the different decision-making positions of distribution networks and virtual power plants. Firstly, the distribution system operator (DSO) is introduced as the leader, and the DSO aiming at maximizing its own benefits, formulates a dynamic tariff strategy to guide the virtual power plant cooperative alliance to optimize its operation; the virtual power plant cooperative alliance, as the follower, responds to the DSO's tariff strategy and formulates an autonomous optimization strategy to minimize its own operating costs. Secondly, the Nash bargaining model is used to allocate the benefits of cooperation among the multi-virtual power plant cooperative alliance according to their internal power interactions. The dichotomous method combined with ADMM is used to solve the developed model. The example shows that the hybrid distribution network-multi-virtual power plant game model can effectively enhance the benefits of the distribution network while taking into account the interests of the lower-level virtual power plants.
Keywords: Virtual power plant, distribution network, cooperative game, stackelberg game