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The large number of uncertain renewable energy (RE) and electric vehicles (EV) participate into day-ahead electricity market which makes the day-ahead energy trading difficult. Therefore, in this paper, a new energy trading optimization for multi-mode energy supply scenarios with centralized management and unified dispatch is proposed to improve the fairness, credibility, economy of energy trading. In this model, wind energy, energy storage and EV are involved as independent participator, and the total profit of system are selected as objective of model. Meanwhile, due to the clean characteristics of RE, the priority of clean energy is considered to ensure the RE can be traded specifically. Finally, the proposed model is expressed as a mixed-integer stochastic linear program and solved by CPLEX. In a case, the influence of clean energy trading priority under different scenarios is analyzed, and the effectiveness of proposed method is verified.