陈光宇, 陆牧君, 郭袅, 等. 基于路网信息考虑双边利益权衡的电动汽车优化调度策略[J]. 现代电力, 2021, 38(3): 346-354. DOI: 10.19725/j.cnki.1007-2322.2020.0376
引用本文: 陈光宇, 陆牧君, 郭袅, 等. 基于路网信息考虑双边利益权衡的电动汽车优化调度策略[J]. 现代电力, 2021, 38(3): 346-354. DOI: 10.19725/j.cnki.1007-2322.2020.0376
CHEN Guangyu, LU Mujun, GUO Niao, et al. Optimal Scheduling Strategy of Electric Vehicles Based on Road Network Information and Bilateral Benefit Balance[J]. Modern Electric Power, 2021, 38(3): 346-354. DOI: 10.19725/j.cnki.1007-2322.2020.0376
Citation: CHEN Guangyu, LU Mujun, GUO Niao, et al. Optimal Scheduling Strategy of Electric Vehicles Based on Road Network Information and Bilateral Benefit Balance[J]. Modern Electric Power, 2021, 38(3): 346-354. DOI: 10.19725/j.cnki.1007-2322.2020.0376

基于路网信息考虑双边利益权衡的电动汽车优化调度策略

Optimal Scheduling Strategy of Electric Vehicles Based on Road Network Information and Bilateral Benefit Balance

  • 摘要: 为了能在复杂工况下权衡电动汽车和充电站之间的双边利益,首先将实时路网信息、充电站状态信息及电价信息进行综合分析,在构建了基于双边利益权衡的充电方案评价体系的基础上,进一步构建基于时间量化的网络分析过程(Analytic network process,ANP)双边利益模糊评价模型,克服了传统ANP模型求解该类问题时存在的主观性问题;其次,提出一种基于路况信息并考虑双边利益权衡的电动汽车充电路径优化调度策略,实现了不同工况环境下电动汽车充电路径的最优选择;最后通过路网模型对所提方法进行仿真计算。仿真结果表明,此方法构建的基于时间量化的ANP双边利益权衡模糊评价模型能够准确地对不同调度方案进行综合评价排序,提出的基于双边利益权衡的电动汽车调度策略能为电动汽车提供更为灵活的充电路径选择,并在电动汽车出行便利和充电站最大收益两个方面取得较好的权衡。

     

    Abstract: To weigh the bilateral benefit interest between EV and charging station under complex operating conditions, firstly, the real time information of realtime road network information, the information of charging station states and the information of electricity price were comprehensively analyzed and on the basis of constructing an evaluation system for charging schemes based on weighing bilateral interests a fuzzy bilateral interest evaluation model based on time-quantized analytic network process (abbr. ANP) was further constructed to overcome the subjectivity existed during such kinds of problems solved by traditional ANP model. Secondly, an optimized dispatching strategy for charging path of EV based on road condition information and considering bilateral interest weighing was proposed to implement optimal charging path selection of EV under different environment of operating conditions. Finally, by means of road network model the proposed dispatching strategy was simulated. Simulation results show that the EV dispatching strategy based on bilateral interest weighing can provide more flexible charging path selections, and a better weighing between travel convenience and maximum revenue of charging stations can be realized.

     

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