Abstract: With the continuous increase of the renewable energy penetration and the increment of the adjustable units capacity, it has been an important trend for them to participate the electricity market auction transaction. In order to deeply analyze the competitive game behavior between renewable energy generators (REG) and conventional power generators (CPG) in the regional electricity market, multiple leaders-one follower (MLOF) Nash-Stackelberg (NS) game model is proposed. The upper layer constructs a bidding strategy model for the joint participation of renewable and conventional power generators in the electricity energy and ancillary service market based on the green certificate trading mechanism. The lower layer is a joint market clearing model of electricity-reserve-, which determines the market clearing results and price signals. On this basis, an efficient distributed algorithm is carried out to solve the complex game model. So as to improve the computational and protect the data privacy of all parties. Simulation analysis shows that the proposed model can effectively improve the market returns of renewable energy generators, and enhance their game ability in multi-subject.