A Two-Point Estimate Method for Optimal Dispatching of Large-Scale Electric vehicles into Distribution Networks under Uncertainty

Abstract

Electric vehicle (EV) charging irregularities have a massive effect on the distribution system. In recent years, research has focused on how to address the issue of large-scale charging and discharging of EVs while ensuring the grid's security. Distribution network operators should choose places where EV charging is practicable in terms of environmental and financial benefits. To establish how to best charge and discharge EVs in the distribution network, first comprehend and then determine the optimal position of EV parking lots in the distribution network. In this article, to solve this optimization problem, first the mathematical model of the problem is built, and then - according to the nonlinear features of the proposed optimization model - the second-order cone method is used to find the optimal solution with high accuracy and speed. The objective functions can accomplish more realistic objectives like lowering losses and minimizing voltage deviation changes with the charging and discharging time control technique, in addition to optimizing the technical requirements of the distribution network. The two-point estimation method of Hang is used to describe the uncertainty in the loads and capacities of solar sources in the random state, and optimization is applied to the IEEE 33-bus distribution system. The obtained results reveal that the proposed method not only meets the charging and discharging requirements of large-scale EVs, but also ensures the stability of the power grid, demonstrating the effectiveness of the proposed method in the optimal planning of EVs.