In the common pricing methods, real-time electricity price is too complex, idealistic and can not accurately reflect the law of real-time electricity price and cost, and wind and photovoltaic power output is uncertain. In view of this, under the guarantee of the interests of power sales companies, in order to improve the satisfaction and acceptability of users, taking power selling companies as the object, a hybrid pricing mechanism considering the uncertainty and correlation of wind and solar output is proposed. The Latin hypercube sampling method is used for hierarchical sampling and correlation control of wind and photovoltaic power output. With the goal of maximizing the profit of the power sales company, the optimization calculation is carried out, and the influence of the uncertainty and correlation of wind and photovoltaic power output is analyzed. The IEEE 33 node example shows that the hybrid pricing mechanism can take into account the interests of power sales companies and user satisfaction, and is a more reasonable pricing mechanism.