RESEARCH ON COLLABORATIVE OPTIMAL SCHEDULING OF MICROGRID WITH ELECTRIC HEAVY TRUCK BATTERY SWAP STATION

Zhao Wenfei, Yu Guochen, Lan Tianxiao, Li Chunyu, Fu Jiajia, Qi Zhiyuan

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 524-532.

PDF(1584 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(1584 KB)
Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 524-532. DOI: 10.19912/j.0254-0096.tynxb.2025-0640

RESEARCH ON COLLABORATIVE OPTIMAL SCHEDULING OF MICROGRID WITH ELECTRIC HEAVY TRUCK BATTERY SWAP STATION

  • Zhao Wenfei, Yu Guochen, Lan Tianxiao, Li Chunyu, Fu Jiajia, Qi Zhiyuan
Author information +
History +

Abstract

In this paper, a microgrid collaborative optimal scheduling model with electric heavy truck battery swap station is proposed, and a "microgrid-battery swap station" optimization scheduling model with the maximum benefit of microgrid is constructed, and the optimal output of each equipment is calculated. A collaborative optimization model of "heavy truck-battery swap station" was established, and the battery swap station affected the arrival of electric heavy trucks by adjusting the service fee, so as to optimize the load of the battery swap station. The CPLEX solver and antelope optimization algorithm were used to solve the model to verify the effectiveness of the model.

Key words

microgrids / optimize scheduling / electric vehicles / battery swap station / renewable energy / load optimization

Cite this article

Download Citations
Zhao Wenfei, Yu Guochen, Lan Tianxiao, Li Chunyu, Fu Jiajia, Qi Zhiyuan. RESEARCH ON COLLABORATIVE OPTIMAL SCHEDULING OF MICROGRID WITH ELECTRIC HEAVY TRUCK BATTERY SWAP STATION[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 524-532 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0640

References

[1] 邢毓华, 任甜甜. 改进MOPSO在微电网优化调度中的应用研究[J]. 太阳能学报, 2024, 45(6): 191-200.
Xing Y H, Ren T T.Application research of improved MOPSO in microgrid optimal dispatch[J]. Acta Energiae Solaris Sinica, 2024, 45(6): 191-200.
[2] Liang Y S, Xu Z L, Li H F, et al.A random optimization strategy of microgrid dispatching based on stochastic response surface method considering uncertainty of renewable energy supplies and load demands[J]. International journal of Electrical Power & Energy Systems, 2023, 154: 109408.
[3] 丁佳昀, 胡秦然, 吴在军, 等. 低温环境下考虑电池寿命的微电网优化调度[J]. 中国电机工程学报, 2024, 44(10): 3815-3823.
Ding J Y, Hu Q R, Wu Z J, et al.Optimal scheduling of microgrid considering battery lifetime in low-temperature environment[J]. Proceedings of the CSEE, 2024, 44(10): 3815-3823.
[4] 齐志远, 李晓文, 张如意, 等. 基于动态回馈修正的独立微电网协调优化调度[J]. 高电压技术, 2022, 48(3): 938-947.
Qi Z Y, Li X W, Zhang R Y, et al.Coordinated optimal scheduling of stand-alone micro-grid based on dynamic feedback correction[J]. High Voltage Engineering, 2022, 48(3): 938-947.
[5] 王子谋, 黄弦超, 史磊, 等. 独立储能电站参与电能量和调频市场容量投标的协同优化[J]. 太阳能学报, 2024, 45(9): 630-638.
Wang Z M, Huang X C, Shi L, et al.Collaborative optimization of independent energy storage power station’s capacity biddind in real-time energy and requlation market[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 630-638.
[6] Wu N, Xu J, Linghu J Q, et al.Real-time optimal control and dispatching strategy of multi-microgrid energy based on storage collaborative[J]. International Journal of Electrical Power & Energy Systems, 2024, 160: 110063.
[7] 陈友芹, 蒋炯, 殷展翔, 等. 基于NCPSO的微网群优化调度策略研究[J]. 太阳能学报, 2022, 43(8): 477-483.
Chen Y Q, Jiang J, Yin Z X, et al.Research on optimal scheduling strategy of microgrid clusters based on NCPSO[J]. Acta Energiae Solaris Sinica, 2022, 43(8): 477-483.
[8] 南斌, 董树锋, 唐坤杰, 等. 考虑需求响应和源荷不确定性的光储微电网储能优化配置[J]. 电网技术, 2023, 47(4): 1340-1349.
Nan B, Dong S F, Tang K J, et al.Optimal configuration of energy storage in PV-storage microgrid considering demand response and uncertainties in source and load[J]. Power System Technology, 2023, 47(4): 1340-1349.
[9] 谢鹏, 蔡泽祥, 刘平, 等. 考虑多时间尺度不确定性耦合影响的风光储微电网系统储能容量协同优化[J]. 中国电机工程学报, 2019, 39(24): 7126-7136.
Xie P, Cai Z X, Liu P, et al.Cooperative optimization of energy storage capacity for renewable and storage involved microgrids considering multi time scale uncertainty coupling influence[J]. Proceedings of the CSEE, 2019, 39(24): 7126-7136.
[10] 周毅斌, 肖浩, 裴玮, 等. 基于纵向联邦学习的微电网群协同优化运行与策略进化[J]. 电力系统自动化, 2023, 47(11): 121-132.
Zhou Y B, Xiao H, Pei W, et al.Collaborative optimization operation and strategy evolution of microgrid cluster based on vertical federated learning[J]. Automation of Electric Power Systems, 2023, 47(11): 121-132.
[11] 杨景旭, 唐渊, 姚蓝霓, 等. 考虑服务能力和削峰任务约束的换电站削峰方法[J]. 电力系统自动化, 2022, 46(15): 29-36.
Yang J X, Tang Y, Yao L N, et al.Peak-shaving method for battery swap station considering service capacity and peak-shaving task constraints[J]. Automation of Electric Power Systems, 2022, 46(15): 29-36.
[12] Zhang S, Li X X, Li Y Z, et al.A bi-objective battery dispatching model of taxi battery swapping station network considering green power consumption[J]. Renewable Energy, 2025, 239: 122162.
[13] Bian H H, Ren Q C, Guo Z Y, et al.Optimal scheduling of integrated energy system considering electric vehicle battery swapping station and multiple uncertainties[J]. World Electric Vehicle Journal, 2024, 15(4): 170.
[14] Zhang S, Li X X, Li Y Z, et al.A green-fitting dispatching model of station cluster for battery swapping under charging-discharging mode[J]. Energy, 2023, 276: 127600.
[15] 叶圣永, 刘旭娜, 李海波, 等. 考虑“水光充储”协调运行的电动汽车充电站规划[J]. 太阳能学报, 2025, 46(2): 262-271.
Ye S Y, Liu X N, Li H B, et al.Planning of electric vehicle charging station considering coordinated operation of hydropower-PV-charging-storage[J]. Acta Energiae Solaris Sinica, 2025, 46(2): 262-271.
[16] Agushaka J O, Ezugwu A E, Abualigah L.Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer[J]. Neural Computing and Applications, 2023, 35(5): 4099-4131.
PDF(1584 KB)

Accesses

Citation

Detail

Sections
Recommended

/