Genetic Algorithm Based Active Distribution Network Source Network Load Storage Coordination Control Method with SOP

Currently, with the continuous development of new power systems, a large number of distributed power sources are connected to the traditional distribution network. The energy output and load fluctuations between different systems bring huge instability to the overall operation of the main network. So the operating costs will continue to increase. Based on the above background, the article designs a coordinated control scheme for the output and energy storage of the main network with SOP equipment optimized by genetic algorithm. Set the objective function as the optimal operating cost of the main network, calculate the optimization objects for the energy storage side and demand side of the main network using fitness functions, and screen them. With the goal of maintaining a constant fitness, select the optimal parameters for the energy storage side and demand side under this condition; And it was brought into the simulation model for verification, and the results proved that the scheme designed in the article was higher than the traditional scheme (control group), which could reduce the operating cost of the main network and improve the comprehensive utilization of new energy.