朱永胜, 孙贤, 谢晓峰, 丁同奎, 巫付专, 史志鹏. 多态场景下考虑出行链重构的电动汽车多目标协同优化调度[J]. 电力系统自动化, 2024, 48(9): 129-141.
引用本文: 朱永胜, 孙贤, 谢晓峰, 丁同奎, 巫付专, 史志鹏. 多态场景下考虑出行链重构的电动汽车多目标协同优化调度[J]. 电力系统自动化, 2024, 48(9): 129-141.
ZHU Yong-sheng, SUN Xian, XIE Xiao-feng, DING Tong-kui, WU Fu-zhuan, SHI Zhi-peng. Multi-objective Collaborative Optimal Dispatch for Electric Vehicles in Multistate Scenarios Considering Trip Chain Reconstruction[J]. Automation of Electric Power Systems, 2024, 48(9): 129-141.
Citation: ZHU Yong-sheng, SUN Xian, XIE Xiao-feng, DING Tong-kui, WU Fu-zhuan, SHI Zhi-peng. Multi-objective Collaborative Optimal Dispatch for Electric Vehicles in Multistate Scenarios Considering Trip Chain Reconstruction[J]. Automation of Electric Power Systems, 2024, 48(9): 129-141.

多态场景下考虑出行链重构的电动汽车多目标协同优化调度

Multi-objective Collaborative Optimal Dispatch for Electric Vehicles in Multistate Scenarios Considering Trip Chain Reconstruction

  • 摘要: 电动汽车用户日内的充电计划具有规律性,但在突发事件影响下,电动汽车用户的充电行为则具有突发性和主观性。突发事件由用户影响到电动汽车的充放电过程,最终波及电力系统的稳定运行。首先,考虑实际出行中距离变化时用户的充电意愿,提出充电意愿模型,模拟用户的充电意愿区间;然后,基于电动汽车出行时空特性,将影响调度计划的突发事件分为4类,模拟4种事件对既定调度计划的影响,并综合考虑气温和电价等因素,对电动汽车进行充放电调度;最后,提出多态场景下储能站协同电动汽车的能量管理策略,对常态及两种极端条件下的电动汽车进行充放电调度。采用区域电网进行仿真,分析出行链重构在行为场景、事件类型、调度策略、集群规模、用户参与度和风电规模的条件中对电动汽车充放电调度的影响,验证了所提模型的合理性和有效性。

     

    Abstract: The intraday charging plans of electric vehicle(EV) users exhibit regularity, but under the influence of sudden events, the charging behaviors of EV users has suddenness and subjectivity. Sudden events can affect the charging and discharging process of EVs by users. Ultimately, it can affect the stable operation of the power system. Therefore, considering the charging willingness of users when the distance in actual trip changes, a charging willingness model is proposed to simulate the charging willingness range of users. Then, based on the spatiotemporal characteristics of EV trips, sudden events that affect the dispatch plan are divided into four categories. The impact of these four kinds of sudden events on the established dispatching plan is simulated, and factors such as temperature and electricity price are comprehensively considered to dispatch the charging and discharging of EVs. Finally, an energy management strategy for EVs with energy storage stations in a multistate scenario is proposed to dispatch the charging and discharging processes of EVs under normal circumstances and two extreme conditions. A simulation using the regional power grid is conducted to analyze the impact of trip chain reconstruction on EV charging and discharging dispatch under the conditions of various factors including behavioral scenarios, event types, dispatch strategies, cluster sizes, user participation, and wind power capacities, and to validate the reasonableness and effectiveness of the proposed model.

     

/

返回文章
返回