An Electric Vehicle Dispatching Strategy to Improve Power Quality for Vulnerable Nodes in Distribution Network

Because that the charging load of large-scale electric vehicles is random and disorderly, an electric vehicle optimization control strategy is proposed based on the combination of power grid economic operation and traffic information. Firstly, the weak links of the distribution network are analyzed, that is, the vulnerable nodes are identified. Based on this, the electric vehicle dispatching control framework is constructed. Then, an optimal control strategy for electric vehicles is formulated for the multi-objective optimization of user demand cost and economic operation cost of power grid. Finally, through the simulation of the actual line equivalent 33 node model, the electric vehicle scheduling strategy improves the power quality of the vulnerable nodes of the power grid. Through the study of cases, the implementation of the scheduling strategy reduces the peak-valley gap of the power grid.