基于改进鸡群算法的电动汽车有序充电策略研究

Research on orderly charging strategy of electric vehicle based on improved chicken swarm optimization

为了减小电动汽车无序充电给配电网安全稳定运行带来的不利影响,提出一种基于改进鸡群算法的电动汽车有序充电策略。首先,综合考虑电动汽车用户和配电网的利益,建立以用户充电费用最小和配电网负荷峰谷差最小为目标的电动汽车充电多目标优化数学模型;在此基础上,提出一种有序充电策略,该策略将随时间推移不断滚动更新电动汽车的充电计划;其次,运用鸡群算法求解该问题,并针对标准鸡群算法中出现的易早熟,收敛精度不高等问题,引入二次非线性递减惯性权重和双亲引导机制对其进行改良;最后,以某一配电网为例进行具体分析,仿真结果验证了充电策略的实用性和改进算法的有效性。

In order to reduce the adverse effects of electric vehicle disordered charging to the safe and stable operation of distribution network, an ordered charging strategy of electric vehicles based on improved chicken swarm optimization is proposed in this paper. Firstly, comprehensively considering the interests of the user side of the electric vehicle and the interests of the distribution network, the multi-objective optimization mathematical model of electric vehicle charging is set up based on the minimum charge cost of the user and the minimum load peak difference of the distribution network. On this basis, an orderly charging strategy is proposed, and the strategy will continuously roll up the charging plan of the electric vehicle with time. Secondly, the chicken swarm optimization is adopted to solve the problem of calculating the charging plan. In view of the prematurity and low convergence precision of the standard chicken swarm optimization, the parental guidance mechanism is introduced to improve it. Finally, a distribution network is used as an example to carry out simulation analysis. The simulation results verify the practicability of the charging strategy and the effectiveness of the improved algorithm.