您所在的位置: 首页» 新闻中心» 讲座预告

【明理讲堂2021年第8期】清华大学钟海旺副教授: Tracking and Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector


腾讯会议号:483 378 944

报告人:清华大学 钟海旺 副教授


钟海旺,清华大学副教授,博士生导师,IEEE高级会员,入选第三届中国科协青年人才托举工程。研究方向为智能电网优化运行、电力市场等。发表/录用SCI论文60余篇,其中Nature Communications论文2篇,Cell旗下Joule期刊论文1篇。主持国家自然科学基金2项、北京市自然科学基金1项;承担国家863项目、国家科技支撑计划项目、国家重点研发计划项目、国家自然科学基金重点项目、NSFC-智能电网联合基金重点项目各1项。获德国洪堡基金会等联合授予的亚太青年科学家奖,获省部级一等奖2项,中国电力科学技术一等奖1项,中国专利优秀奖1项,获评中国能源研究会优秀青年能源科技工作者奖,获2020年IEEE PES General Meeting的Best of the Best最佳论文奖。担任IEEE PES需求响应工作组主席,国际大电网会议CIGRE D2.53电力物联网工作组秘书。担任SCI国际期刊International Transactions on Electrical Energy Systems和Journal of Modern Power Systems and Clean Energy编委,CSEE Journal of Power and Energy Systems青年编委,《电力系统保护与控制》青年专家学术委员会委员。


The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the US becoming the epicenter of COVID-19 cases since late March. Substantial changes in the operations of bulk power systems and electricity markets are observed, and it is imperative for policymakers and power system operators to take a scientific approach to understanding and predicting these potential impacts. With this purpose, this study releases a cross-domain open-access data hub, integrating data from all existing US wholesale electricity markets with COVID-19 case, weather, mobile device location, and satellite imaging data. We then 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. Geographically diverse impacts are observed and quantified, while the bulk power systems and markets in the northeast region are most severely affected. In addition, leveraging cross-domain insights from public health and mobility data, we rigorously show that the significant reduction in electric power demand is strongly correlated with the number of COVID-19 cases, degree of social distancing, and level of commercial activity.