基于电价引导的电动汽车与综合能源系统交互策略

Interactive Strategy of Electric Vehicles and Integrated Energy System Based on Electricity Price Guidance

在能源互联网的大背景下,综合能源系统(integrated energy system,IES)和电动汽车(electric vehicles,EV)受到广泛关注。该文提出基于电价引导的IES与EV交互策略,平抑IES总电负荷波动,提高运行效益。首先基于模糊算法建立计及电价影响的EV用户充电概率仿真模型,提出动态分时定价策略引导EV有序充电,降低IES总电负荷峰谷差。其次,构建了包含EV电价引导层与IES能量调度层的双层能量调度模型,实现EV与IES的能量协同交互,并研究了基于电价引导的EV充电策略对IES能量优化调度和运行成本的影响。最后以北方地区某IES园区为运行场景开展算例研究,电价引导后IES的峰谷差降低了32.52%,IES运行成本降低了9.93%,EV充电费用降低了19.85%。结果表明,基于电价引导的EV与IES交互策略能够减小IES总电负荷峰谷差,提高IES运行效益并降低EV用户充电费用,且上述效果随EV负荷比重增加而趋于显著。

In the context of energy internet,integrated energy systems(IES)and electric vehicles(EV)have received widespread attention.This paper proposes an interaction strategy between IES and EV based on electricity price guidance to smooth out fluctuations in the total electric load of IES and improve operational efficiency.First,a fuzzy algorithm is used to establish a simulation model of EV users charging probability that takes into account the impact of electricity prices,and a dynamic time-of-use pricing strategy is proposed to guide the orderly charging of EVs and reduce the peak-to-valley difference of the total electric load of IES.Secondly,a bi-level energy dispatch model including EV electricity price guidance layer and IES energy scheduling layer is constructed to realize the energy coordination interaction between EV and IES,and the influence of EV charging strategies based on electricity price guidance on IES energy optimization scheduling and operating costs is studied.Finally,a case study is implemented with an IES community in the northern region as an operating scenario.After the electricity price guidance,the peak-to-valley difference of IES is reduced by 32.52%,IES operating costs are reduced by 9.93%,and EV charging costs are reduced by 19.85%.The results show that the EV and IES interaction strategy based on electricity price guidance can reduce the peak-to-valley difference of the total electric load of IES,improve the operating efficiency of IES and reduce the charging cost of EV users,and the above mentioned effects tend to be significant as the proportion of EV load increases.