Optimal allocation of charging stations for electric vehicles in the distribution system

Shan Cheng, Peng Gao
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引用次数: 13

Abstract

Irrational planning and improper allocation of charging stations for electric vehicles is likely to result in severely negative effects on the stable and operation of the distribution system. This study aims to investigate the optimal planning of charging stations based on an adaptive particle swarm optimization (APSO) algorithm. An optimization model for optimal planning problem is established for minimizing the voltage stability index of the system, which takes into account of the charging demand and convenience of electric vehicles as well as the investment economy of charging stations, the economic operation of the distribution system and its power quality. In order to handle the non-linear optimization problem with multiple constraints, an APSO with good convergence accuracy and speed is proposed and successfully applied the problem. The simulation results based on the IEEE 33-bus system validate the feasibility and effectiveness of the problem method for optimally planning charging stations.
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配电网中电动汽车充电站的优化配置
电动汽车充电站规划不合理,配置不当,可能会对配电系统的稳定和运行造成严重的负面影响。研究了基于自适应粒子群算法的充电站优化规划问题。在考虑电动汽车充电需求和便利性、充电站投资经济性、配电系统经济运行经济性和电能质量的基础上,建立了以系统电压稳定指标最小为目标的最优规划问题的优化模型。为了解决多约束的非线性优化问题,提出了一种收敛精度和速度都很好的APSO,并成功地应用于该问题。基于IEEE 33总线系统的仿真结果验证了该问题方法对充电站优化规划的可行性和有效性。
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