Smart power grid economic dispatching method based on improved particle swarm optimization

The invention relates to a smart power grid economic dispatching method based on an improved particle swarm algorithm, and belongs to the field of smart power grid economic dispatching. The method comprises the following steps of: step 1, establishing a model by taking the sum of depreciation cost of distributed renewable energy sources, thermal power generation cost, wind-light-electricity operation and maintenance cost, thermal power operation environment cost and interruptible load cost as an objective function; step 2, establishing operation constraint conditions in a scheduling period; and step 3, substituting the model and the constraint conditions into the improved particle swarm algorithm to obtain an optimal solution, so as to enable higher economic benefits, and performing verification in Matlab simulation to obtain a verification result. According to the method, the power generation cost, the operation characteristics and the environment cost of various energy power generation modes are considered,