报告题目：The Role of Artificial Intelligence in Smart Grids

报告人：G Kumar Venayagamoorthy, PhD, MBA, FIEEE, FIET, FSAIEE, FAAIA

地点及时间：线上学术会议

                       2021/11/04 9:00-11:00

                        https://meeting.tencent.com/dm/0r83B5Q0c2Cn

会议 ID：551312685

会议密码：6825

报告简介：The smart grid, also referred to as the modern power system is a complex system, and one that is expected to be conscious, intelligent, distributed, and flexible. Such an electric power system architecture can facilitate secure and distributed flow of power from renewable energy sources including solar and wind. Furthermore, it can handle flexible loads and energy storage including electric vehicles. This talk will address the potentials and promises of Artificial Intelligence (AI) for the modern power system operations and control. AI has evolved over the last 40 years to transform operations and dynamic control of complex systems. A modern power system with variable power and energy sources, bidirectional power flows, and uncertainty in forecasting and real- time availability of generation, loads, energy storage and other operational resources requires intelligent technologies for its operation and control. Examples of AI technologies for stable, secure, reliable, and efficient operations and control of power systems will be presented in this talk.

报告人简介：Ganesh Kumar Venayagamoorthy is the Duke Energy Distinguished Professor of Power Engineering and Professor of Electrical and Computer Engineering at Clemson University since January 2012.Prior to that, he was a Professor of Electrical and Computer Engineering at the Missouri University of Science and Technology (Missouri S&T), Rolla, USA where he was from 2002 to 2011, and a Senior Lecturer in Department of Electronic Engineering, Durban University of Technology, Durban, South Africa, where he was from 1996 to 2002.Dr. Venayagamoorthy is the Founder (2004) and Director of the Real-Time Power and Intelligent Systems Laboratory.Dr. Venayagamoorthy’s interests are in research, development and innovation of smart grid and artificial intelligence technologies. He is a 2004 US NSF CAREER Awardee, a 2007 US Office of the Naval Research (ONR) Young Investigator Program (YIP) Awardee, and a 2008 NSF Emerging Frontiers in Research and Innovation (EFRI) Awardee.