PDF(2830 KB)
考虑各季节富余电池仓数量的出租车换电站调节能力挖掘策略
孔凡强, 兰海涛, 吕帅帅, 严干贵, 赵磊, 韩志博, 常学飞
电力建设 ›› 2026, Vol. 47 ›› Issue (5) : 147-158.
PDF(2830 KB)
PDF(2830 KB)
考虑各季节富余电池仓数量的出租车换电站调节能力挖掘策略
Strategy for Optimizing the Regulation Capability of Taxi Battery-Swapping Stations by Leveraging Seasonally Surplus Battery Slots
【目的】 针对换电站可靠调节能力科学评估及不确定换电需求下充电时序策略优化这一关键问题,本文提出一种考虑季节性富余电池仓数量的换电站调节能力评估与优化调控方法。【方法】 基于东北地区77座换电站实测数据发现,冬季换电站面临显著的充换电压力,而春、夏、秋季则具备富余调节能力。进一步,考虑到出租车换电行为具有相对稳定的规律性,通过优化电池仓的循环利用效率,压缩循环换电所需的电池仓数量,以季节富余仓数量作为换电站可时移调节能力的量化表征。在此基础上,设计了一种基于混合整数线性规划方法的封仓延迟充电策略,并创新性地引入风险阈值保护机制,以充分挖掘富余电池仓及电池的潜在调节能力。【结果】 本文所提策略在春、夏、秋季的每次峰谷电价交替时段,能够有效挖掘某换电站25%电池容量的调节潜力,从而显著降低换电站约9%的购电运营成本。【结论】 本文所提策略在保障换电服务及时性的前提下,能够有效降低换电站的购电运营成本,为换电站参与电网需求响应及新能源消纳的相关研究提供了新的思路和方法,具有重要的理论意义和实用价值。
[Objective] To address the challenge of accurately evaluating the regulation capability of battery-swapping stations (BSSs) and optimizing charging schedules under uncertain battery swapping demand, this paper proposes a BSS regulation capability assessment and optimal control method that explicitly considers the seasonal number of surplus battery slots. [Methods] Based on measured data from 77 BSSs in Northeast China, the study identifies that stations face significant charging and swapping pressure in winter, while possessing surplus regulation capacity in spring, summer, and autumn. By leveraging the inherent regularity of taxi battery-swapping behavior, we improve the cyclic utilization efficiency of battery slots and minimize the number of slots required for cyclic swapping. The number of seasonally surplus battery slots is subsequently used as a quantitative metric for the time-shiftable regulation capability of BSSs. On this basis, a delayed charging strategy for sealed battery slots is developed using mixed-integer linear programming, incorporating an innovative risk-threshold protection mechanism to maximize the potential regulation capability of surplus battery slots and batteries. [Results] Case studies demonstrate that during each peak-valley electricity price transition period in spring, summer, and autumn, the proposed strategy unlocked regulation potential equivalent to 25% of the total battery capacity of a given swapping station, reducing its electricity procurement and operational costs by approximately 9%. [Conclusions] The proposed strategy can effectively reduce electricity procurement and operational costs for BSSs while ensuring the timeliness of battery swapping services. This approach offers new insights and methodologies for research on the participation of BSSs in power grid demand response and the accommodation of renewable energy, and holds significant theoretical significance and practical value.
换电站 / 负荷调节能力 / 富余电池仓 / 混合整数线性规划 / 降本增效
battery-swapping station / load regulation capability / surplus battery slots / mixed-integer linear programming / cost reduction and efficiency improvement
| [1] |
|
| [2] |
杨瑞雪, 王扬, 赖见辉. 换电模式下电动汽车电池调度研究综述[J]. 物流科技, 2025, 48(14): 82-84, 88.
|
| [3] |
王海鑫, 袁佳慧, 陈哲, 等. 智慧城市车-站-网一体化运行关键技术研究综述及展望[J]. 电工技术学报, 2022, 37(1): 112-132.
|
| [4] |
|
| [5] |
袁洪涛, 徐潇源, 严正, 等. 电动汽车集中充换电设施规划和优化运行研究综述[J]. 电力系统保护与控制, 2024, 52(19): 157-174.
|
| [6] |
刘祺, 王承民, 谢宁, 等. 新型配电系统中考虑电动汽车差异化行为特性的充换电站规划方法[J]. 智慧电力, 2024, 52(9): 18-24, 64.
|
| [7] |
严家乐, 白建波, 崔烨彬, 等. 基于多目标灰狼优化算法的换电站电池充电调度算法[J]. 可再生能源, 2025, 43(8): 1011-1019.
|
| [8] |
|
| [9] |
|
| [10] |
张美霞, 付御临, 杨秀. 基于电动汽车充换电需求时空分布的充换电设施规划[J]. 电力科学与技术学报, 2025, 40(1): 126-137.
|
| [11] |
|
| [12] |
|
| [13] |
刘晓楠, 张剑, 张智达, 等. 考虑超大功率的光储充换电站选址定容方法[J]. 电力科学与技术学报, 2025, 40(2): 217-226.
|
| [14] |
傅质馨, 朱韦翰, 朱俊澎, 等. “车-电-路-站”互联下电动出租车换电需求预测及换电站充电优化策略[J]. 电力自动化设备, 2022, 42(10): 116-124.
|
| [15] |
胡号, 胡志坚, 李天格, 等. 基于“车-桩-站”交互的充换电站一体化实时调度策略[J]. 中国电机工程学报, 2025, 45(11): 4175-4186, I0006.
|
| [16] |
王子奇, 侯思祖. 基于信息间隙决策理论的含BSS微电网最优调度策略[J]. 太阳能学报, 2025, 46(4): 164-172.
|
| [17] |
赵显秋, 徐青山, 杨永标, 等. 考虑不确定性的新型电池充换电站多时间尺度能量管理策略[J]. 电网技术, 2025, 49(3): 1007-1017.
|
| [18] |
李翼成, 赵钰婷, 崔杨, 等. 考虑充放电策略的换电站与风电-碳捕集虚拟电厂的低碳经济调度[J]. 电力自动化设备, 2023, 43(6): 27-36.
|
| [19] |
|
| [20] |
王子奇, 侯思祖, 郭威. 考虑库存电池的光储换电站优化充电策略[J]. 电力自动化设备, 2022, 42(10): 142-148, 176.
|
| [21] |
祁兵, 张恒源, 李彬, 等. 规模化微型电动车换电柜与分布式光伏协调运行策略[J]. 供用电, 2025, 42(7): 94-101.
|
| [22] |
徐怡悦, 李东森, 钱康, 等. 基于充换电动态定价的综合能源站优化运行策略[J]. 供用电, 2025, 42(6): 93-103.
|
| [23] |
|
| [24] |
|
| [25] |
曾宪锴, 杨苹, 刘璐瑶, 等. 电力现货市场环境下电动汽车充换电站的优化调控策略[J]. 电力自动化设备, 2022, 42(10): 38-45.
|
| [26] |
|
| [27] |
|
| [28] |
王永利, 朱明阳, 张云飞, 等. 考虑电力市场与新能源耦合的换电站充电优化调度策略[J]. 电力建设, 2025, 46(6): 38-48.
|
| [29] |
范明康, 张怡, 康健, 等. 基于模糊聚类-马尔可夫链的换电站负荷预测模型[J]. 电力建设, 2023, 44(10): 63-71.
换电站减少了电动汽车的补能时间,具有可观的调控潜力,准确的负荷预测模型是其参与电网辅助服务的关键。针对用户换电需求的随机性,建立基于模糊聚类-马尔可夫链的换电站负荷预测模型。首先,利用泊松分布预测各时刻电动汽车换电需求数量,并建立换电需求约束;其次,利用自适应模糊C均值聚类算法依据荷电状态对换电站中电池集群进行自适应分区,避免人为分区的主观性;最后,采用马尔可夫链建立充电、放电、等待多状态下换电站电池集群模型。对需求预测方法与负荷预测模型进行了仿真验证,并与蒙特卡洛模拟法进行对比,结果表明,泊松分布准确预测了电动汽车需求数量,提出的负荷预测模型获取了充放电状态下换电站的功率,同时减小了负荷预测的波动性。
Battery-swap stations reduce the replenishment time of electric vehicles and have considerable regulation potential. An accurate load prediction model is the key to their participation in grid auxiliary services. To address the stochastic nature of the power exchange demand of users, a fuzzy clustering-Markov chain-based load prediction model for swap stations is established. First, the Poisson distribution is used to predict the number of EVs demanding power exchange at each moment and establish the demand constraint for power exchange. Second, the adaptive fuzzy C-mean clustering algorithm is used to adaptively partition the battery clusters in the swap stations based on the charge state to avoid the subjectivity of artificial partitioning. Finally, the Markov chain is used to establish the battery cluster model of the swap stations under multiple states of charging, discharging, and waiting. The demand prediction method and load prediction model are simulated, validated, and compared with the Monte Carlo simulation method. The results showed that Poisson distribution accurately predicted the demand quantity of electric vehicles, and the proposed load prediction model obtained the power of the swap station under charging and discharging states, while reducing the volatility of load prediction. |
| [30] |
鲍志远, 胡泽春. 大规模电动汽车充换电设施可调能力聚合评估与预测[J]. 中国电机工程学报, 2025, 45(11): 4103-4116.
|
| [31] |
徐望胜, 随权, 林湘宁, 等. 考虑充-换电站电池能量转供链路的配电网灾前-灾后两阶段恢复策略[J]. 电力建设, 2024, 45(7): 76-87.
针对极寒天气、台风等极端事件可能诱发输电线路故障,致使配电网负荷大量失电的问题,提出一种考虑电动汽车充-换电站(battery charging-swapping station, BCSS)协同的配电网灾前-灾后两阶段恢复策略。首先,分析BCSS参与配电网恢复的可行性以及配电网灾前-灾后两阶段恢复架构。其次,考虑低温环境的影响,构建考虑热管理系统的BCSS精细化能量转供链路模型。然后,提出考虑BCSS的配电网灾前-灾后两阶段恢复策略,其中灾前阶段决策电池组的分配,灾后阶段根据残存资源的供电潜能,以综合经济性最优为目标函数最大化保障负荷平稳运行。最后,以改进IEEE 33节点和123节点配电网为例进行数值仿真。结果表明,所提策略能够在提高配电网重要负荷恢复率的同时保证较低的恢复成本,具有可行性与优越性。
A two-stage, recovery strategy for distribution networks pre- and post-disasters is proposed to address the issue of transmission-line failures caused by extreme events (such as extremely cold weather and typhoons) which result in a significant loss of power in the distribution network, considering the coordination of battery-charging switching stations (BCSS) for electric vehicles. We analyzed the feasibility of the BCSS participation in the pre-to post-disaster distribution-network restoration and two-stage, restoration architecture and constructed a refined energy-transfer link model for BCSS; a thermal-management system was constructed considering the impact of a low-temperature environment. We proposed a two-stage, recovery strategy for a distribution network that considers the BCSS before and after a disaster. In the pre-disaster stage, the allocation of battery packs was decided. In the post-disaster stage, based on the remaining resource power-supply potential—the objective function was the maximization of the overall economic optimization to ensure a stable load operation. Finally, numerical simulations were conducted using the improved IEEE33 node and 123 node-distribution networks as examples. The results indicated that the proposed strategy is both feasible and superior and could improve the recovery rate of important loads in the distribution network while ensuring lower recovery costs. |
| [32] |
许正波. 基于双智能体深度强化学习的含换电站主动配电网运行优化[J]. 电力大数据, 2025, 28(4): 86-96.
|
| [33] |
刘展鹏, 范帅, 蔡思烨, 等. 面向准线型需求响应的重卡换电站日前-实时优化调度方法[J]. 电力建设, 2025, 46(6): 106-120.
|
| [34] |
|
| [35] |
|
利益冲突声明(Conflict of Interests): 所有作者声明不存在利益冲突。
AI小编
/
| 〈 |
|
〉 |