Optimal planning of charging stations for electric vehicles based on voltage stability of distribution system

Authors

Shan CHENG, Hubei Provincial Collaborative Innovation Center for New Energy Microgrid,China Three Gorges University，Yichang 443002 ，China
Linfeng XU, Hubei Provincial Collaborative Innovation Center for New Energy Microgrid,China Three Gorges University，Yichang 443002 ，China
Weibin SUN, Hubei Provincial Collaborative Innovation Center for New Energy Microgrid,China Three Gorges University，Yichang 443002 ，China
Gaocan SU, Hubei Provincial Collaborative Innovation Center for New Energy Microgrid,China Three Gorges University，Yichang 443002 ，China
Yuzhang FENG, Substation Maintenance Room of Wuhan Power Supply Company, State Grid Hubei Electric Power Co ,Ltd ,Wuhan 430050 ，China

Keywords

electric vehicle, charging station planning, APSO, voltage stability index

Abstract

The disordered planning and unreasonable allocation of electric vehicle charging stations have a serious impact on the safty，stability and economy of the distribution network operation．To solve this problem, this paper constructs an optimal planning model of electric vehicle charging stations based on the voltage stability index of distribution network．The model not only could balance the construction investment of charging stations，the economic operation of distribution system and the quality of power supply，but also take full account of the demand and convenience of the electric vehicle charging．The improved adaptive particle swarm optimization (APSO) algorithm with fast speed and high accuracy is adopted to solve the nolinear optimization problem with multiple constraints. Finally, the simulation results based on IEEE33bus system show the effectiveness of the proposed method.

DOI

10.19781/j.issn.16739140.2020.04.001

First Page

3

Last Page

12

Recommended Citation

CHENG, Shan; XU, Linfeng; SUN, Weibin; SU, Gaocan; and FENG, Yuzhang (2020) "Optimal planning of charging stations for electric vehicles based on voltage stability of distribution system," Journal of Electric Power Science and Technology: Vol. 35: Iss. 4, Article 1.
DOI: 10.19781/j.issn.16739140.2020.04.001
Available at: https://jepst.researchcommons.org/journal/vol35/iss4/1