| 引用本文: | 肖白,朱珈汛,姜卓,焦明曦,王徭.考虑车辆充电调度机制的电动公交车充电站规划[J].电力自动化设备,2022,42(1): |
| XIAO Bai,ZHU Jiaxun,JIANG Zhuo,JIAO Mingxi,WANG Yao.Planning of electric bus charging station considering vehicle charging scheduling mechanism[J].Electric Power Automation Equipment,2022,42(1): |
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| 摘要: |
| 针对电动公交车充电站的最佳充电容量难以确定及其充电效率低的问题，提出了一种在站址既定情况下考虑车辆充电调度机制的电动公交车充电站优化规划方法。首先，根据电动公交车的发车状态模拟电动公交车日常运行中的电能消耗，生成电动公交车的总运行负荷时序曲线；然后，基于生成的运行负荷时序曲线，构建充电需求度指标，制定电动公交车的充电调度机制；最后，在满足电动公交车充电需求的同时兼顾充电站精细化规划的要求，建立以充电能力最强、投资运行成本最小、光伏能源综合利用指标最大为优化目标的充电站多目标优化规划模型，并采用小生境多目标粒子群优化算法对该模型进行求解，以确定电动公交车充电站的充电桩数量以及光伏发电系统和配电变压器的容量。工程实例分析结果验证了所提方法的正确性和有效性。 |
| 关键词: 电动公交车 充电站 车辆充电调度机制 多目标规划 小生境多目标粒子群优化算法 |
| DOI：10.16081/j.epae.202108019 |
| 分类号:U469.72;TM715 |
| 基金项目:国家重点研发计划项目(2017YFB0902205)；吉林省产业创新专项基金资助项目(2019C058-7) |
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| Planning of electric bus charging station considering vehicle charging scheduling mechanism |
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XIAO Bai1, ZHU Jiaxun1, JIANG Zhuo2, JIAO Mingxi3, WANG Yao3
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1.School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China;2.School of Computer Science and Technology, Beihua University, Jilin 132021, China;3.Changchun Power Supply Company, State Grid Jilin Electric Power Co.,Ltd.,Changchun 130021, China
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| Abstract: |
| Aiming at the problems that the optimal charging capacity of electric bus charging station is difficult to determine and its charging efficiency is low, an optimal planning method of electric bus charging station considering the vehicle charging scheduling mechanism under the condition of fixed station location is proposed. Firstly, according to the starting state of electric bus, its energy consumption in the daily operation is simulated, and the time-sequence curve of total electric bus operation load is generated. Then, based on the generated time-sequence curve of operation load, the charging demand degree index is constructed to develop the charging scheduling mechanism of electric buses. Finally, while meeting the charging demand of electric buses, taking into account the requirements of the elaborate planning of charging station, a multi-objective optimization planning model for charging station is established, which aims at maximizing the charging capacity, minimizing the investment and operation cost and maximizing the comprehensive utilization index of photovoltaic energy. The NMOPSO(Niche Multi-Objective Particle Swarm Optimization) algorithm is used to solve the model to determine the number of charging piles in electric bus charging station and the capacities of photovoltaic power generation system and distribution transformer. The correctness and effectiveness of the proposed method are verified by the analysis results of engineering examples. |
| Key words: electric bus charging station vehicle charging scheduling mechanism multi-objective planning NMOPSO algorithm |
