時間：1月13日（星期三）下午14:30-16:00
騰訊會議號：483 378 944
報告人：清華大學(xué) 鐘海旺 副教授
主講人簡介：
鐘海旺，清華大學(xué)副教授，博士生導(dǎo)師，IEEE高級會員，入選第三屆中國科協(xié)青年人才托舉工程。研究方向為智能電網(wǎng)優(yōu)化運行、電力市場等。發(fā)表/錄用SCI論文60余篇，其中Nature Communications論文2篇，Cell旗下Joule期刊論文1篇。主持國家自然科學(xué)基金2項、北京市自然科學(xué)基金1項；承擔(dān)國家863項目、國家科技支撐計劃項目、國家重點研發(fā)計劃項目、國家自然科學(xué)基金重點項目、NSFC-智能電網(wǎng)聯(lián)合基金重點項目各1項。獲德國洪堡基金會等聯(lián)合授予的亞太青年科學(xué)家獎，獲省部級一等獎2項，中國電力科學(xué)技術(shù)一等獎1項，中國專利優(yōu)秀獎1項，獲評中國能源研究會優(yōu)秀青年能源科技工作者獎，獲2020年IEEE PES General Meeting的Best of the Best最佳論文獎。擔(dān)任IEEE PES需求響應(yīng)工作組主席，國際大電網(wǎng)會議CIGRE D2.53電力物聯(lián)網(wǎng)工作組秘書。擔(dān)任SCI國際期刊International Transactions on Electrical Energy Systems和Journal of Modern Power Systems and Clean Energy編委，CSEE Journal of Power and Energy Systems青年編委，《電力系統(tǒng)保護與控制》青年專家學(xué)術(shù)委員會委員。
報告摘要：
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.
（承辦：技術(shù)經(jīng)濟與戰(zhàn)略管理系、科研與學(xué)術(shù)交流中心）
