Collaborative Planning of Community Charging Facilities and Distribution Networks

The construction of community charging facilities and supporting distribution networks based on the predicted results electric vehicle (EV) power in saturation year has resulted a large initial idleness network serious waste assets. To solve this problem, paper proposes collaborative planning method for urban networks. First, load density occupancy rate to predict base electricity community, Bass model probability are used community’s load. Taking minimum annual operation costs as objective function, supply topology new is optimized by using Prim single-parent genetic algorithms. Finally, proposed scheme verified actual data certain city China an analysis example, one-time yearly given.