纸质出版:2026
移动端阅览
徐艳春,周蕾,高雅,孙思涵,张涛,席磊,MI Lu.考虑季节性特征的EV充电及综合能源系统容量配置优化[J].智慧电力,2026,54(5):81-88.
doi:10.20204/j.sp.2026.05010
徐艳春,周蕾,高雅,孙思涵,张涛,席磊,MI Lu.考虑季节性特征的EV充电及综合能源系统容量配置优化[J].智慧电力,2026,54(5):81-88. DOI: 10.20204/j.sp.2026.05010.
doi:10.20204/j.sp.2026.05010 DOI:
大量电动汽车(EV)接入综合能源系统(IES)进行随机充电,易引发峰值负荷激增,进而影响系统稳定运行。为此,提出一种计及源荷季节性特征的EV协调充电与IES容量配置两阶段优化策略。第一阶段,引入动态紧迫性指标以反映EV在每一时隙内的充电需求紧迫性,在此基础上构建以最小化负荷峰谷差为目标的IES内EV协调充电模型。第二阶段基于混合整数线性规划,结合季节性场景对IES设备容量进行优化配置。最后,通过两阶段对比方案对所提策略进行验证。结果表明,所提两阶段优化方法不仅能够有效降低电负荷峰谷差,还可平抑EV接入引起的负荷波动,并显著提升IES的整体经济性。
The random charging of a large number of electric vehicles (EVs) connected to an integrated energy system (IES) can easily cause a sharp increase in peak load
thereby affecting the stable operation of the system. To address this issue
a two-stage optimization strategy for EV coordinated charging and IES capacity configuration considering the seasonal characteristics of source and load is proposed. In the first stage
a dynamic urgency index is introduced to reflect the urgency of EV charging demand in each time slot. Based on this
a coordinated EV charging model within the IES is constructed with the objective of minimizing the load peak-valley difference. In the second stage
based on mixed-integer linear programming
the IES equipment capacity is optimally configured by incorporating seasonal scenarios. Finally
the proposed strategy is validated through a two-stage comparative scheme. The results show that the proposed two-stage optimization method can not only effectively reduce the peak-valley difference of electric load
but also smooth out load fluctuations caused by EV integration
and significantly improve the overall economy of the IES.
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