基于V2G激励价格的电动汽车参与电网调峰交互研究

Tao Wang, Yuming Zhao, Mingyu Ma, Wenmeng Zhao, Jing Wang, Tian Mao, Zijun Liu
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引用次数: 0

摘要

随着电动汽车的蓬勃发展,电动汽车强大的调度潜力也越来越受到人们的关注。电动汽车由于其储能装置,具有快速灵活调节的优势。通过车对网(Vehicle-to-Grid, V2G)实现电动汽车与电网的双向互联是当前和未来的发展趋势。利用充放电功率的调节,可以实现电网的削峰补谷。在本文中,我们首先开发了一个与系统和用户参与所需的峰值负荷削减量相关的V2G激励价格。其次,建立了基于路网的电动汽车出行链和能耗模型。最后,以电网负荷曲线标准差最小和电动汽车用户用电成本最小为目标,建立了优化模型。通过仿真算例,验证了该方案调峰的合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of EV Participation in Grid Peak Load Shaving Interaction Based on V2G Incentive Price
With the booming development of electric vehicle (EV), the powerful dispatching potential of EV is also getting more and more attention. EVs have the advantage of fast and flexible regulation because of the energy storage devices. It is the current and future development trend to realize two-way interconnection between EVs and the grid by Vehicle-to-Grid (V2G). And it can realize peak load shaving and valley filling for the grid by using the regulation of charging and discharging power. In this paper, we firstly develop a V2G incentive price related to the amount of peak load shaving required by the system and user participation. Secondly we establish a travel chain and power consumption model for EV travel based on the road network. Finally, we establish an optimization model with the objective of minimizing the standard deviation of the grid load curve and minimizing the cost of electricity for EV users. Through the simulation cases, we prove the rationality of peak load shaving by this scheme.
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