Quantitative Assessment of U.S. Bulk Power Systems and Market Operations during COVID-19
Guangchun Ruan, Jiahan Wu, Haiwang Zhong, Qing Xia, Le Xie

TL;DR
This paper provides a data-driven analysis of COVID-19's impact on U.S. bulk power systems and markets, highlighting demand, price drops, regional variances, and operational challenges during the pandemic.
Contribution
It introduces a comprehensive, data-driven framework to quantify COVID-19's effects on power system security, generation, demand, and prices across U.S. regions.
Findings
Electric power demand and prices declined during COVID-19.
Regional impacts varied, with the Northeast most affected.
The study offers open-source data and analysis tools.
Abstract
Starting in early 2020, the novel coronavirus disease (COVID-19) severely affected the U.S., causing substantial changes in the operations of bulk power systems and electricity markets. In this paper, we develop a data-driven analysis to substantiate the pandemic's impacts from the perspectives of power system security, electric power generation, electric power demand and electricity prices. Our results suggest that both electric power demand and electricity prices have discernibly dropped during the COVID-19 pandemic. Geographical variances in the impact are observed and quantified, and the bulk power market and power system operations in the northeast region are most severely affected. All the data sources, assessment criteria, and analysis codes reported in this paper are available on a GitHub repository.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnergy Load and Power Forecasting · Market Dynamics and Volatility · Energy and Environment Impacts
