A coordinated charging/discharging strategy for EVs with flexible mobility in multi-temporary microgrids

IF 4.8 2区工程技术 Q2 ENERGY & FUELS

Sustainable Energy Grids & Networks Pub Date : 2025-04-25 DOI:10.1016/j.segan.2025.101720

Zhixian Wang , Davide Falabretti , Ying Wang , Kaifeng Zhang

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引用次数: 0

Abstract

The increasing occurrence of extreme weather events can lead to more major power blackouts, which attracts attention to the utilization of temporary microgrids (TMGs) in the restoration stage. However, single TMGs originating after a blackout usually have weak resilience, because of their limited available resources. Therefore, cooperation between microgrids needs urgently to be studied: to this end, this paper proposes a novel charging/discharging strategy for electric vehicles (EVs) to achieve optimal power coordination between TMGs, by taking advantage of EV’s temporal-spatial flexible mobility. First, a new user response willingness model for EVs is established considering move distance and charging compensation, and this model is combined with the EV eligibility assessment based on traveling time to evaluate the EV mobile possibility across TMGs. Then, a suitable resilience factor is proposed to measure the resilience of TMGs considering both the current and future operation conditions. Finally, a novel coordinated EV charging/discharging strategy exploiting the EVs’ mobility is developed based on a mixed integer optimization model, to enhance system resilience and reduce total regulation costs. A case study based on the realistic topology of Milan’s urban area is analyzed, comparing the results obtained with the strategy without EV spatial cooperation. As a result, the proposed strategy can enhance the resilience of TMGs by 20.93 % and reduce the total regulation cost which is paid to regulation resources for ensuring the power balance of each TMG by 8.43 %.

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多临时微电网中灵活机动电动汽车的协调充放电策略

随着极端天气事件的频繁发生，大范围停电的可能性越来越大，临时微电网在恢复阶段的利用引起了人们的关注。然而，由于可用资源有限，停电后产生的单个tmg通常具有较弱的弹性。为此，本文提出了一种新的电动汽车充放电策略，利用电动汽车的时空灵活移动性，实现微电网间的最优功率协调。首先，建立了考虑移动距离和充电补偿的电动汽车用户响应意愿模型，并将该模型与基于行驶时间的电动汽车合格性评估相结合，评估了电动汽车跨区域移动的可能性；然后，考虑当前和未来的运行条件，提出了一个合适的弹性系数来衡量tmg的弹性。最后，基于混合整数优化模型，提出了一种利用电动汽车移动性的电动汽车协调充放电策略，以增强系统弹性并降低总监管成本。以米兰市区的现实拓扑为例进行分析，对比了无电动汽车空间合作策略的结果。结果表明，该策略可使TMG的弹性提高20.93 %，使各TMG为保证功率平衡而支付的监管资源总监管成本降低8.43 %。

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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来源期刊

Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology

CiteScore

7.90

自引率

13.00%

发文量

206

审稿时长

49 days

期刊介绍： Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.