Enhancing equitable resilience of urban energy systems via strategic planning of EV charging infrastructure
Enhancing equitable resilience of urban energy systems via strategic planning of EV charging infrastructure
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通过电动汽车充电基础设施的战略规划增强城市能源系统的公平弹性
DOI：
10.1016/j.tej.2023.107275
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Chen, Juntao
中科院分区：
文献类型：
--
作者：
Ebbrecht, Gabrielle;Chen, Juntao
本文旨在通过对电动汽车（EV）充电基础设施的战略配置来解决纽约市深刻的电力弹性不平等问题，以支持电网在高需求或自然灾害等具有挑战性的情况下的运行。首先，我们通过制定电力弹性不平等指标来衡量电力故障相关因素对这些地区的综合影响，从而揭示纽约受影响最严重的社区。我们采用数据驱动的方法来推断社区的电力弹性指数、他们可用的电动汽车充电基础设施和其他几个突出的社会人口变量之间的统计关系。这一推论产生了一种机器学习模型的发展，该模型可以预测部署所提出的资源分配策略后电力弹性不平等的减少。我们进一步开发了一个综合考虑公平和效率的优化框架，以指导电动汽车充电基础设施在整个城市的优化分布。一些案例研究证明了所设计的方法在提高城市电力弹性公平方面的能力，并在边缘化社区产生了有利的结果。
This paper seeks to address the profound power resilience inequity in New York City by means of strategic allocation of electric vehicle (EV) charging infrastructure to support the power grid operation in challenging scenarios, such as when facing high demand or during natural disasters. First, we uncover the most disproportionately affected communities in New York by developing a metric of power resilience inequity to measure the combined impact of power failure-related factors on these areas. We employ data-driven approaches to infer the statistical relationships between communities’ power resilience index, their available EV charging infrastructure, and several other prominent socio-demographical variables. This inference yields the development of a machine learning model that can predict the reduction of power resilience inequity after deployment of the proposed resource allocation strategy. We further develop an optimization framework that jointly considers equity and efficiency to guide the optimized distribution of EV charging infrastructure across the city. A number of case studies are leveraged to demonstrate the capability of the devised approach in enhancing urban power resilience equity, yielding favorable results in marginalized communities.
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发表时间：
2021
期刊：
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