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您的检索式：作者名="Chujie Zeng"
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| 1 | Impact of Simultaneous Activities on Frequency Fluctuations:Comprehensive Analyses Based on Real Measurement Data from the FNET/GridEye显示文摘Simultaneous human activities,such as the Super Bowl game,would cause certain impacts on frequency fluctuations in power systems.With the help of FNET/GridEye measurements,this paper aims to give comprehensive analyses on the frequency fluctuations during Super Bowl LIV held on Feb.2,2020,so as to better understand several phenomena caused by simultaneous activities which will help system operations and controls.First,recent developments of the FNET/GridEye are briefly introduced.Second,the frequency fluctuations of the Eastern Interconnection(El),western electricity coordinating council(WECC),and electric reliability council of Texas(ERCOT)power systems during Super Bowl LIV are analyzed.Third,frequency fluctuations of Super Bowl Sunday and ordinary Sundays in 2020 are compared.Finally,the differences of frequency fluctuations among different years during the Super Bowl and their change trends are also given.Furthermore,several possible explanations,including the simultaneity of electricity consumption at the beginning of commercial breaks and the halftime show,the increasing usage of the Internet,and the increasing size of TV screens,are illustrated in detail in this paper. | Shengyuan Liu Shutang You Chujie Zeng Yinfeng Zhao Wenxuan Yao Yilu Liu Zhenzhi Lin | 2021 | CSEE Journal of Power and Energy Systems2021，7，2： | 1 |
| 2 | Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources显示文摘Large‐scale power systems exhibit more complex dynamics due to the increasing inte-gration of inverter‐based resources(IBRs).Therefore,there is an urgent need to enhance the situational awareness capability for better monitoring and control of power grids dominated by IBRs.As a pioneering Wide‐Area Measurement System,FNET/GridEye has developed and implemented various advanced applications based on the collected synchrophasor measurements to enhance the situational awareness capability of large‐scale power grids.This study provides an overview of the latest progress of FNET/GridEye.The sensors,communication,and data servers are upgraded to handle ultra‐high density synchrophasor and point‐on‐wave data to monitor system dynamics with more details.More importantly,several artificial intelligence(AI)‐based advanced appli-cations are introduced,including AI‐based inertia estimation,AI‐based disturbance size and location estimation,AI‐based system stability assessment,and AI‐based data authentication. | Lin Zhu Yinfeng Zhao Yi Cui Shutang You Wenpeng Yu Shengyuan Liu He Yin Chang Chen Yuru Wu Wei Qiu Mirka Mandich Hongyu Li Adedasola Ademola Chengwen Zhang Chujie Zeng Xinlan Jia Weikang Wang Haoyu Yuan Huaiguang Jiang Jin Tan Yilu Liu | 2021 | High Voltage2021，6，6： | 0 |
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