Reactive Power Optimization of Active Distribution Networks Considering Electric Vehicles

Aiming at the comprehensive utilization of distributed energy and electric vehicle charging station scale regulation capacity, an active distribution network optimization model that coordinates many active and reactive resources is proposed. Firstly, considering the volatility of photovoltaic (PV), wind power and electric vehicles (EV), a stochastic model is established; secondly, on the basis of traditional reactive power optimization, the reactive output of distributed new energy, energy storage and electric vehicles is fully considered. Then, the rotating second-order cone is used to solve the discrete variables and continuous variables, and the non-convex model is relaxed and converted into a linear solution problem. Finally, the model is analyzed using IEEE33 nodes. The results show that the model improves the optimization ability, further improves the voltage curve, and effectively reduces the system network loss.