引用本文:曹昉,郑怡馨,王斯琪,王淳奕,齐玥莹.计及实时交通特征的电动公交车备用率与充电桩联合优化[J].电力自动化设备,2024,44(4):127-134,150
CAO Fang,ZHENG Yixin,WANG Siqi,WANG Chunyi,QI Yueying.Joint optimization of electric bus reserve rate and charging piles considering real-time traffic characteristics[J].Electric Power Automation Equipment,2024,44(4):127-134,150
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计及实时交通特征的电动公交车备用率与充电桩联合优化
曹昉, 郑怡馨, 王斯琪, 王淳奕, 齐玥莹
华北电力大学 电气与电子工程学院,北京 102206
摘要:
为了提高电动公交车及充电站总投资和运营的经济性,需综合考虑公交车和充电桩的购置成本以及充电成本。以道路特征、实时交通特征、环境温度为主要影响因素,计算电动公交车的行驶时间和能耗;在满足公交车运营基本需求和保证车内温度的前提下,以日公交车购置成本、日充电桩建造成本、日充电成本之和最小为目标进行优化,建立电动公交车备用率与充电桩的联合优化模型,并采用改进的离散型自适应粒子群优化算法进行计算,得到公交车和充电桩的最优购置方案以及各季节和全年的日均投资及运营成本。以某公交线路上电动公交车年内多种运营条件为算例,验证所建优化模型的正确性。
关键词:  电动公交车  充电桩  充电站  公交车备用率  实时交通特征  联合优化  环境温度
DOI:10.16081/j.epae.202308028
分类号:U469.72
基金项目:
Joint optimization of electric bus reserve rate and charging piles considering real-time traffic characteristics
CAO Fang, ZHENG Yixin, WANG Siqi, WANG Chunyi, QI Yueying
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Abstract:
In order to improve the total investment and operation economy of electric buses and charging stations, the purchase cost of buses and charging piles and the charging cost should be considered comprehensively. The driving time and energy consumption of electric buses are calculated with road characteristics, real-time traffic characteristics and environment temperature as the main influencing factors. On the premise of meeting the basic needs of bus operation and ensuring the temperature inside the bus, the joint optimization model of electric bus reserve rate and charging piles is established with the goal of minimi-zing the sum of the daily purchase cost of buses, the daily construction cost of charging piles and the daily charging cost. The improved discrete adaptive particle swarm optimization algorithm is used to obtain the optimal purchase scheme of buses and charging piles, as well as the average daily investment and operation cost of each season and all the year. The validity of the established optimization model is verified by taking the electric buses on a bus route under various operation conditions in a year as an example.
Key words:  electric buses  charging piles  charging station  bus reserve rate  real-time traffic characteristics  joint optimization  environment temperature

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