An Optimized Integration Model for Distribution Network Expansion and Electric Vehicle Charging Stations Considering Distributed Generation

In order to cope with the local overload problem caused by the large-scale popularization of electric vehicles (EVs) on the distribution network, this paper proposes an optimized integration model for distribution network expansion and EV charging stations considering distributed generation. By constructing a mixed-integer linear programming (MILP) model with the sum of distribution network expansion cost and grid operation cost as the objective function, the charging loads access location and distribution network infrastructure expansion scheme are optimized. A case study is conducted in a city in Northwest China, and the results show that the optimized integration model can significantly reduce the expansion cost, especially when the charging demand is high, the cost reduction can reach 19.4%. In addition, the model verifies its economy and adaptability by flexibly adjusting the substation and line expansion strategies. The method can effectively balance the charging loads distribution, relieve the pressure on the distribution network, support the synergistic development of electric vehicles and renewable energy, and provide technical support for sustainable energy transition.