Location and Capacity Method of Electric Vehicle Charging Facilities Based on the Crisscross Optimization Algorithm

Abstract

The use of electric vehicles is increasing year by year, and a large number of them are connected to the distribution network, which has a negative impact on the normal operation of the power grid. By optimizing the configuration of charging facilities, the economy of the construction of charging facilities and the stability of the operation of the distribution network can be realized. This paper uses crisscross optimization algorithm (CSO) to select the location and capacity of the electric vehicle charging facilities. The upper layer considers its construction cost and operation and maintenance cost, and also considers the transportation cost from the users of each node to the nearest configured node; the lower layer will configure the location based on the configuration result of the upper layer. The stable and economic operation of the power grid is also introduced into the location and capacity of charging facilities, considering the influence of the power distribution network loss and voltage offset, and achieving the optimal configuration of charging facilities through the joint action of the upper and lower layers. Through the coupling of the 33-node system and the 25-node transportation system, the location and capacity of electric vehicle charging facilities are selected, which verifies the effectiveness and feasibility of the proposed method.