Robust Optimization Dispatch Method for Distribution Network Considering Four-Quadrant Power Output of Energy Storage Devices

This paper describes a technique for improving distribution network dispatch by using the four-quadrant power output of distributed energy storage systems to address voltage deviation and grid loss problems resulting from the large integration of distributed generation into the distribution network. The approach creates an optimization dispatch model for an active distribution network. The objective function aims to minimize power purchase costs, network loss costs, and voltage deviation penalties. In addition, the method employs an interval robust optimization technique to handle uncertainties related to solar turbine output and load demand. To solve the optimal power flow problem for AC in the distribution network, this paper implements the second-order cone relaxation technique to convert it into a solvable second-order cone programming problem. Moreover, the Big-M method is used to handle the nonlinear terms in the objective function. Finally, simulation experiments are conducted on the IEEE33 node system to verify the effectiveness and superiority of the proposed method. The simulation results indicate that the system's operating cost can be significantly reduced. Additionally, it has a positive impact on reducing voltage deviation and system loss, ultimately improving the operation of the distribution network system.