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A Multi-objective Optimal Orderly Charging Strategy for Electric Vehicles

机译:电动汽车多目标最佳有序充电策略

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摘要

In order to reduce the adverse effects of grid which is caused by massive unguided charging behavior of electric vehicles and maintain the safe and stable operation of the distribution network, an orderly charging strategy of electric vehicles is proposed in the paper, and the algorithm is based on improve differential evolution algorithm. The main idea of this strategy is to make charging plan through time-of-use (TOU) electricity price, and then electric vehicles can be moved to normal period and valley period for charging. The objective function of the algorithm is to minimize the charging cost of users and the peak-valley difference. Based on this strategy, the paper builds a mathematic model of multi-objective optimization, and improve differential evolution (IDE) algorithm is used to solve the model. In addition, the algorithm optimizes charging continuity,which can effectively prevent load curve mutation and protect charging facilities. The simulation results verify the effectiveness of the algorithm.
机译:为了降低电网的巨大造成的电网的不利影响,并维持分配网络的安全稳定运行,纸上提出了一种有序充电策略,算法基于关于改进差分演化算法。该策略的主要思想是通过使用时间(TOU)电价进行充电计划,然后电动车可以移动到正常时期和谷时期进行充电。算法的目标函数是最小化用户的充电成本和峰值谷差。基于该策略,该论文建立了多目标优化的数学模型,改善差分演化(IDE)算法用于解决模型。此外,该算法优化充电连续性,可以有效地防止负载曲线突变和保护充电设施。仿真结果验证了算法的有效性。

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