基于充电优先级确定机制的电动汽车充电调度策略OA
Electric Vehicle Charging Scheduling Based on a Charging Priority Determination Mechanism
针对停车场环境下多充电模式并存的电动汽车充电调度问题,提出了一种基于充电优先级确定机制的电动汽车充电调度策略.首先,综合考虑电动汽车群体可容忍等待时间及充电需求的差异性,提出了一种充电优先级确定机制,旨在合理分配充电模式从而提高电动汽车群体的充电效率.其次,引入自适应交叉与变异算子对传统非支配排序遗传算法(non-dominated sorting genetic algorithm-Ⅱ,NSGA-Ⅱ)的更新策略进行改进,以实现车主充电成本与电网负荷波动的联合优化.最后,采用模糊隶属度函数在所得Pare-to解集中选取最优折中解作为最终的充电调度方案.采用基于全美家庭出行调查(national household travel survey,NHTS)的统计数据,相较于其他对比算法,所提算法的性能最佳.
To address the charging scheduling problem in a parking lot with multiple charging modes,an electric vehicle charging scheduling strategy based on a charging priority determination mechanism is proposed.First,considering the variability in the tolerable waiting times and charging demands among electric vehicles,a charging priority determination mechanism is proposed,which aims to reasonably allocate charging modes to improve the charging efficiency of electric vehicles.Second,an adaptive crossover and mutation operator is introduced to improve the updating strategy of the traditional non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ),in order to achieve joint optimization of car owners'charging costs and power grid load fluctuations.Finally,the optimal compromise solution is selected as the final charging scheduling scheme by employing a fuzzy mem-bership function within the obtained Pareto solution set.Experimental results based on the national household travel survey(NHTS)data show that the proposed algorithm outperforms other benchmark algorithms.
陈舒;陈冷;陈愉
福建警察学院计算机与信息安全管理系,福建 福州 350007闽江学院国际数字经济学院,福建 福州 350108福建师范大学物理与能源学院,福建 福州 350117
信息技术与安全科学
电动汽车充电调度多目标优化非支配排序遗传算法
electric vehiclescharging schedulingmulti-objective optimizationNSGA-Ⅱ
《福建师范大学学报(自然科学版)》 2026 (1)
10-19,79,11
国家自然科学基金项目(62072108)福建省高校产学合作项目(2022H6024、2021H6026)福建省高校物理学学科联盟教学改革项目(FJPHYS-2022-B02)福建省促进海洋与渔业产业高质量发展专项资金(FJHYF-ZH-2023-02)福建省技术创新重点攻关及产业化项目(2024XQ004)
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