考虑“源-网络-桩”的电动汽车充电决策最优策略

Sheng Xu, Tingyu Jin, Wenjun Wu, Xi Zhang, Huanqing Tang, Qingqing Han
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引用次数: 0

摘要

降低碳排放是新型电力系统不断追求的目标。在众多的碳减排策略中,优化电动汽车充电行为对电力系统的稳定运行和减少碳排放具有重要意义。提出了一种电动汽车源-网-桩充电决策优化策略。首先,将光伏电源引入交通-电网耦合网络模型,提出了“源-网-桩”权重计算方法;在此基础上,提出了考虑充电时间、碳排放、充电成本、耦合网络运行状态和光伏输出的电动汽车充电策略。该策略可以减少电动汽车的充电排队时间,减少电力系统的碳排放。最后,通过Matlab仿真验证了该策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Strategy for Electric Vehicle Charging Decision Considering “Source-Network-Pile”
Reducing carbon emission is a continuous goal of the new power system. Among numerous strategies of carbon emission reduction, optimizing the charging behavior of electric vehicles (EV) is of great significance to the stable operation of the power system as well as the reduction of carbon emission. This paper proposed a source-network-pile charging decision-making optimization strategy for EVs. Firstly, the photovoltaic (PV) source is introduced into the traffic-grid coupling network model, and the weight calculation method for “source-network-pile” is proposed. Then, a charging strategy for EV considering charging time, carbon emission, charging cost, operating state of coupling network and PV output is proposed. This strategy can reduce the charging queuing time of electric vehicles and reduce carbon emissions of power system. Finally, effectiveness of this strategy is proven by simulation conducted in Matlab.
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