EVs and ERCOT: Foundations for Modeling Future Adoption Scenarios and Grid Implications

Kelsey Nelson, Pedro S. Moura, J. Mohammadi
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引用次数: 1

Abstract

Electric vehicles (EVs) are becoming more commonplace in Texas, mainly due to their increasing attractiveness to consumers and pushes from the state’s governing bodies to incentivize further adoption. Meanwhile, service from Texas’s electric grid, ERCOT, has been seeing increases in power demand due to a growing population, increased air conditioning use, and pushes for electrification across other industries. The electrification of vehicles will only add to this demand increase. This paper focuses on evaluating different EV adoption, charging management, and policy scenarios, and how they will be expected to impact ERCOT, particularly with respect to peak demand increases. A strong increase in peak demand makes it more difficult for grids to serve power demand at all times, making it an important consideration when seeking to electrify a sector as energy intense as transportation. This paper introduces preliminary results from modeling relevant baseline scenarios and provides insight for future models to build off of. The anticipated impacts of EV adoption on peak demand are quantified using ERCOT’s data on past generation and planned installations, the approximated effectiveness of EV incentives, EV charging profiles, and travel patterns. The results showcase the fact that the achievement of ambitious EV market share goals will be manageable on a statewide level regarding electricity supply into 2030, but will eventually necessitate ambitious charging management strategies in order to limit the EV fleet’s potentially heavy impact on peak demand looking forward into 2050 and beyond.
电动汽车和ERCOT:建模未来采用场景和网格含义的基础
电动汽车(ev)在德克萨斯州变得越来越普遍,主要是因为它们对消费者的吸引力越来越大,而且该州政府机构也在推动进一步采用电动汽车。与此同时,由于人口增长、空调使用增加以及其他行业电气化的推动,德克萨斯州电网ERCOT的电力需求一直在增加。汽车的电气化只会加剧这种需求的增长。本文侧重于评估不同的电动汽车采用、充电管理和政策方案,以及它们将如何影响ERCOT,特别是在峰值需求增加方面。高峰需求的强劲增长使得电网在任何时候都难以满足电力需求,因此在寻求像交通运输这样能源密集型行业的电气化时,这是一个重要的考虑因素。本文介绍了建模相关基线场景的初步结果,并提供了构建未来模型的洞察力。使用ERCOT的数据,包括过去的发电和计划安装、电动汽车激励措施的估计有效性、电动汽车充电概况和出行模式,对电动汽车采用对峰值需求的预期影响进行了量化。研究结果表明,到2030年,电动汽车市场份额目标在全州范围内的电力供应是可以实现的,但最终需要雄心勃勃的充电管理策略,以限制电动汽车对2050年及以后高峰需求的潜在严重影响。
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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