The invention relates to a scene reduction-based intelligent power grid optimal scheduling method containing wind power and demand side resources, which comprises the following steps of: 1, predictingthe output power of a wind power plant on the next day, modeling a wind power prediction error, and randomly generating a plurality of initial scenes containing wind power output; step 2, performingscene reduction on a plurality of initial scenes containing wind power output randomly generated in the step 1 so as to generate a classic scene set; step 3, establishing an optimal scheduling model of the virtual power plant and the traditional unit considering uncertainty by taking minimization of the scheduling cost of the power system as a target; and 4, calculating the minimum value of the target function of the optimal scheduling model, and carrying out optimal configuration on the virtual electric field. According to the method, energy gathered by the virtual power plant can be effectively combined, fluctuation and uncontrollability of new energy generated output can be reduced during internal optimal scheduling, distributed power sources and loads are cooperatively managed, and safe and stable operation of a power grid is promoted.