考虑削峰填谷的电动公交换电站充电优化研究

摘要

The electric buses which work in battery swapping mode achieve rapid growth in the field of public transportation. The normal operation of electric buses power plant is related to many factors, such as the replacement of the battery,battery charging and power load and so on. In order to improve the economy of power plant operation, the daily charging demands of electric buses are ana-lyzed and calculated. We set up the charging model of double objective optimization considering load shifting to minimum the charging costand reduce the load fluctuation. Lastly, the weight factor transformation method is utilized to analyze the example based on genetic algorithm and the simulation results show that the optimized charging cost can be saved 30 % with the sharpening peak effect.%采用换电模式的电动公交车在公共交通领域内发展迅速。电动公交换电站的正常运营与电池更换、充电和电网负荷等多方面因素有关。为提高电动公交换电站运营的经济性，首先分析和计算电动公交车的日换电量需求，然后以充电成本最小和减小负荷波动为目标建立考虑削峰填谷作用的双目标充电优化模型，最后利用遗传算法的权重系数变换法对实例进行求解。实例仿真计算结果表明，优化后的充电成本可节约30%，同时达到削峰填谷作用。