Optical Storage Cooperative Control Strategy of Distribution Network Adapted to New Power System

In an active distribution network with high-ratio new energy access, mobile energy storage vehicles not only have the roles of energy storage stations to reduce network losses, reduce peaks and fill in valleys, improve voltage quality, and consume new energy, but also are more adaptable than settled energy storage stations. The multi-objective optimal scheduling model of active distribution network with mobile energy storage vehicles is established by considering multiple objective functions of minimizing network losses, wind and solar discards and total operating costs, and the uncertainty of new energy output is considered by using the limit scenario method. In addition, a method is proposed to determine the compromise optimal results in the set of Pareto optimal results of a multi-objective optimization problem, which not only achieves a faster computational speed of the compromise optimal solution, but also achieves a higher degree of optimization of the compromise optimal solution. Finally, the accuracy and efficiency of the proposed model are confirmed by an adapted IEEE 33-node distribution network and a real 180-node distribution network.