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Keywords

electric vehicle charging station, distributed generation, energy storage optimization, multiobjective planning, improved NSGAII

Abstract

The rapid development of electric vehicles and windsolarstorage technologies play a key role in the distribution network planning. Firstly, the charging demand of electric vehicles is analyzed according to the demand for the car battery pack. Then, the electric vehicle load is calculated by considering the traffic flow provided by the charging stations, and a multiobjective planning model of distribution networks conductive with energy storage optimization strategy is proposed. In addition, a multiobjective function is constructed with the lowest planning cost, optimizing distribution network voltage and the best satisfaction with traffic network. This model also conducts a fixedcapacity location planning for the windsolarstorage and charging stations in the network, and utilizes the improved NSGAII algorithm embedded with the NDX crossover operator to solve the problem. Finally, a 33node power distribution system coupled with a transportation network is taken as an example to verify the model and method. The simulation results show that the proposed method can effectively improve the relevant indicators of distribution network planning and enhance the overall planning benefits.

DOI

10.19781/j.issn.16739140.2021.01.012

First Page

106

Last Page

116

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