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Operations Research Transactions >

2023 , Vol. 27 >Issue 2: 95 - 109

DOI: https://doi.org/10.15960/j.cnki.issn.1007-6093.2023.02.006

Charging and discharging scheduling for electric bus charging station with energy storage system

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  • 1. School of Management and Engineering, Nanjing University, Nangjing 210093, Jiangsu, China

Received date: 2022-06-29

  Online published: 2023-06-13

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Abstract

A charging and discharging scheduling strategy for electric bus charging station considering the configuration of energy storage system is proposed to address the management difficulties of high load pressure and high charging operation cost caused by disorderly charging at electric bus charging station. Firstly, a mixed integer programming model is established to minimize the overall daily cost of the charging station and to coordinate the charging of the electric bus and the charging and discharging of the energy storage system. The capacity of energy storage system is optimized and sensitivity analysis is performed. Secondly, the nonlinear charging characteristic of the onboard lithium battery is fully considered and the piecewise linear approximation method is used to describe the charging profile of battery SOC. Finally, model verification and case study are made based on the historical travel and charging records of an electric bus charging station in Chengdu. The findings demonstrate that the suggested charging scheduling strategy can successfully lower the overall cost of the charging station, ease load pressure of the grid, prolong the life of the lithium battery and enhance the economy of bus charging management and power grid stability.

Key words： electric bus; energy storage system; charging station; charging scheduling; nonlinear charging function

Cite this article

Wei XU, Yuefeng HUANG, Caihua CHEN . Charging and discharging scheduling for electric bus charging station with energy storage system[J]. Operations Research Transactions, 2023 , 27(2) : 95 -109 . DOI: 10.15960/j.cnki.issn.1007-6093.2023.02.006

References

1 Pietrzak O , Pietrzak K . The economic effects of electromobility in sustainable urban public transport[J]. Energies, 2021, 14 (4): 1- 28.
2 Lunz B , Yan Z , Gerschler J B , et al. Influence of plug-in hybrid electric vehicle charging strategies on charging and battery degradation costs[J]. Energy Policy, 2012, 46, 511- 519.
3 Karabasoglu O , Michalek J . Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains[J]. Energy Policy, 2013, 60, 445- 461.
4 张成炜. 考虑需求响应特性的电动公交充电站充电调度优化[C]//福建省电机工程学会2019年学术年会获奖论文集, 2020: 434-440.
5 李斌, 刘畅, 陈慧妙, 等. 基于混合整数规划的电动公交车快速充电站有序充电策略[J]. 电网技术, 2016, 40 (9): 2623- 2630.
6 Trocker F , Teichert O , Gallet M , et al. City-scale assessment of stationary energy storage supporting end-station fast charging for different bus-fleet electrification levels[J]. Journal of Energy Storage, 2020, 32, 101794.
7 Chen H , Hu Z , Zhang H , et al. Coordinated charging and discharging strategies for plug-in electric bus fast charging station with energy storage system[J]. IET Generation, Transmission and Distribution, 2018, 12 (9): 2019- 2028.
8 Ding X , Zhang W , Wei S , et al. Optimization of an energy storage system for electric bus fast-charging station[J]. Energies, 2021, 14 (14): 1- 17.
9 Ding H , Hu Z , Song Y . Value of the energy storage system in an electric bus fast charging station[J]. Applied Energy, 2015, 157, 630- 639.
10 He H , Peng F , Gao Z , et al. A multi-objective risk scheduling model of an electrical power system-containing wind power station with wind and energy storage integration[J]. Energies, 2019, 12 (11): 2153.
11 Yun P , Ren Y , Xue Y . Energy-storage optimization strategy for reducing wind power fluctuation via Markov prediction and PSO method[J]. Energies, 2018, 11 (12): 3393.
12 Cheng Y , Wang W , Ding Z , et al. Electric bus fast charging station resource planning considering load aggregation and renewable integration[J]. IET Renewable Power Generation, 2019, 13 (7): 1132- 1141.
13 Liu Y , Liang H . A three-layer stochastic energy management approach for electric bus transit centers with PV and energy storage systems[J]. IEEE Transactions on Smart Grid, 2021, 12 (2): 1346- 1357.
14 Ma C , Dong S , Lian J , et al. Multi-objective sizing of hybrid energy storage system for large-scale photovoltaic power generation system[J]. Sustainability, 2019, 11 (19): 1- 15.
15 Jiang W , Zhen Y . A real-time EV charging scheduling for parking lots with PV system and energy store system[J]. IEEE Access, 2019, 7, 86184- 86193.
16 李睿雪, 胡泽春. 电动公交车光储充电站日运行随机优化策略[J]. 电网技术, 2017, 41 (12): 3772- 3779.
17 Houbbadi A, Redondo-Iglesias E, Trigui R, et al. Optimal charging strategy to minimize electricity cost and prolong battery life of electric bus fleet [C]//2019 IEEE Vehicle Power and Propulsion Conference (VPPC), 2019: 1-6.
18 Zhang L , Wang S , Qu X . Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile[J]. Transportation Research Part E: Logistics and Transportation Review, 2021, 154, 102445.
19 Pelletier S , Jabali O , Laporte G , et al. Battery degradation and behaviour for electric vehicles: Review and numerical analyses of several models[J]. Transportation Research Part B: Methodological, 2017, 103, 158- 187.
20 Montoya A , Guéret C , Mendoza J E , et al. The electric vehicle routing problem with nonlinear charging function[J]. Transportation Research Part B: Methodological, 2017, 103, 87- 110.
21 Zuo X , Xiao Y , You M , et al. A new formulation of the electric vehicle routing problem with time windows considering concave nonlinear charging function[J]. Journal of Cleaner Production, 2019, 236, 117687.
22 Hiermann G , Puchinger J , Ropke S , et al. The electric fleet size and mix vehicle routing problem with time windows and recharging stations[J]. European Journal of Operational Research, 2016, 252 (3): 995- 1018.
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