| abstract |
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: step 1, predicting the output power of a wind power plant at the next day, modeling the prediction error of the wind power, and then randomly generating a plurality of initial scenes containing wind power output; step 2, randomly generating a plurality of initial scenes containing wind power output in the step 1, and carrying out scene reduction, so as to generate a classical scene set; step 3, establishing an optimized dispatching model of the virtual power plant and the traditional unit, which takes the dispatching cost of the power system as a target and considers uncertainty; and 4, calculating the minimum value of the objective function of the optimized scheduling model, and performing optimized configuration on the virtual electric field. The method can effectively combine the energy gathered by the virtual power plant, can reduce the fluctuation and the uncontrollable property of the new energy power generation output when the internal optimization scheduling is carried out, cooperatively manages the distributed power supply and the load, and promotes the safe and stable operation of the power grid. |