论文标题

从2021年停电中,需求灵活性可能使得克萨斯州免于多余的灵活性?

How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage?

论文作者

Wu, Dongqi, Zheng, Xiangtian, Menati, Ali, Smith, Lane, Xia, Bainan, Xu, Yixing, Singh, Chanan, Xie, Le

论文摘要

2021年2月,得克萨斯州冬季停电导致数百人死亡和数十亿美元的经济损失,这主要是由于一代人的失败和破纪录的电力需求。在本文中,我们研究了需求灵活性的扩展,以此作为避免在如此极端天气事件中脱落的手段。所考虑的三种机制是可中断的负载,住宅负载配给和基于激励的需求响应。通过模拟合成但逼真的德克萨斯电网模型以及需求柔韧性建模和电力停电数据,我们确定了混合机制的投资组合,这些机制恰好避免了中断,该机制可能由于衰减的边际效应而失败。我们还揭示了可中断的负载与住宅负载配给之间的互补关系,并发现基于激励的需求响应对其他机制功效的非线性影响。

The February 2021 Texas winter power outage has led to hundreds of deaths and billions of dollars in economic losses, largely due to the generation failure and record-breaking electric demand. In this paper, we study the scaling-up of demand flexibility as a means to avoid load shedding during such an extreme weather event. The three mechanisms considered are interruptible load, residential load rationing, and incentive-based demand response. By simulating on a synthetic but realistic large-scale Texas grid model along with demand flexibility modeling and electricity outage data, we identify portfolios of mixing mechanisms that exactly avoid outages, which a single mechanism may fail due to decaying marginal effects. We also reveal a complementary relationship between interruptible load and residential load rationing and find nonlinear impacts of incentive-based demand response on the efficacy of other mechanisms.

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