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Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources
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作者 Lin Zhu Yinfeng Zhao +18 位作者 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 《High Voltage》 SCIE EI 2021年第6期924-937,共14页
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 bett... 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. 展开更多
关键词 artificial HANDLE INVERTER
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