A Coordinative Strategy for Numerous Electric Vehicles in a Resilient Urban Energy System

Xi Zhang, H. Hu, Zihang Dong, F. Huangfu, Y. Liu, G. Strbac
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Abstract

To tackle the impacts of accelerating climate change and increasing occurrence of natural disasters, it is imperative to enhance the resilience of urban energy system. Particularly in the context of deep electrification of the transport sector and energy system integration, the coordination of numerous electrical vehicles (EVs) can provide a cost-effective manner to mitigate the adverse consequences of high impact and low probability (HILP) contingencies, thus improving system resilience. In this paper, a novel distributed algorithm aimed at coordinating a large population of EVs is proposed to enhance the resilience of urban energy system. The presented method alleviates the load curtailment iteratively by adjusting EV charging/discharging schedules while considering the energy requirements of individual EVs. The effectiveness of the distributed coordinative approach is tested and demonstrated by a series of case studies.
弹性城市能源系统中众多电动汽车的协调策略
为应对气候变化加速和自然灾害频发的影响,提高城市能源系统的弹性是当务之急。特别是在交通部门深度电气化和能源系统集成的背景下,大量电动汽车(ev)的协调可以提供一种经济有效的方式来减轻高影响和低概率(HILP)突发事件的不利后果,从而提高系统的弹性。为了提高城市能源系统的弹性,本文提出了一种针对大规模电动汽车群体的分布式协调算法。该方法在考虑单个电动汽车的能量需求的同时,通过调整电动汽车充放电计划来迭代缓解负荷缩减。通过一系列的案例研究,验证了分布式协调方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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