The impact of COVID-19 containment measures on changes in electricity demand

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Le Wen , Basil Sharp , Kiti Suomalainen , Mingyue Selena Sheng , Fengtao Guang
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引用次数: 11

Abstract

Emergency measures imposed by governments around the world have had massive impacts on the energy sector, resulting in dramatic reductions in total energy demand. The New Zealand government introduced strict containment measures in response to the Covid-19 virus. We use an augmented auto-regressive-moving-average model to assess the impact of containment measures on wholesale electricity demand. The study spans the period 27 February 2020 to 23 February 2021. Results show that the Alert Level-4 lockdown had the largest, significant, and negative effect on electricity demand compared to other containment level measures. Specifically, Alert Level 4 resulted in a 12% reduction in wholesale electricity demand. Structural breaks in the data are evident as containment progressed to Alert Level 1. This unprecedented experiment provides insights into underlying patterns of electricity demand, therefore, projection of economic activity. Furthermore, the analysis offers insights into the performance of the electricity market when both aggregate demand and the pattern of demand change in response to exogenous constraints. Finally, the outcomes of this analysis also provide a robust reference for other countries on how the New Zealand market performed.

COVID-19防控措施对电力需求变化的影响
世界各国政府实施的紧急措施对能源部门产生了巨大影响,导致能源总需求大幅减少。为应对新冠病毒,新西兰政府采取了严格的防控措施。我们使用增强的自回归移动平均模型来评估遏制措施对批发电力需求的影响。研究时间为2020年2月27日至2021年2月23日。结果表明,与其他遏制措施相比,预警4级封锁对电力需求的负面影响最大、最显著。具体来说,4级警报导致批发电力需求减少12%。数据中的结构性断裂是很明显的,因为遏制发展到警戒级别1。这一史无前例的实验提供了对电力需求潜在模式的洞察,从而预测了经济活动。此外,该分析提供了当总需求和需求模式响应外生约束而发生变化时电力市场表现的见解。最后,这一分析的结果也为其他国家对新西兰市场的表现提供了强有力的参考。
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来源期刊
Sustainable Energy Grids & Networks
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.
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