Dynamic Coordination Optimization for Active Distribution Network Considering Energy Storage System

The optimal scheduling of active distribution network(ADN) is an important guarantee for the realization of economic and safe operation, and the core technology to actively manage distributed energy resources (Mao et al. in Autom Electr Power Syst 43(8):77–85, [1]). This paper establishes a dynamic optimization model for active radial distribution network based on Distflow, whose control variables include the output of distributed generation (DG), charge and discharge power of energy storage system (ESS), capacitor bank (CB) switching, output of static var generator(SVG) and transformer tap position. The model aims to minimize the network loss, adopts second-order conic relaxation (SOCR) to convexify the original problem and employs commercial solvers (MOSEK, CPLEX, etc.) to obtain operation moment and capacity of each device in the scheduling cycle. Simulation tests on the modified IEEE 33-node system show that the algorithm proposed can effectively reduce active loss, improve energy efficiency and lower network operation cost.