Modern Power Systems and Artificial Intelligence

Speaker:      Ganesh Kumar Venayagamoorthy, Clemson University

Time:           20:30-22:00  Apr.22.2022

Host:            Haoyu Wang

Link:                 Zoom:    https://us06web.zoom.us/j/89233155858?pwd=enUvRWZlQnJJdnZTY0Nab1ZCeUJlQT09     

                                            Number：892 3315 5858     Password：755679

                        Bilibili:    https://live.bilibili.com/22272691

Abstract:    

The modern power system is complex 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 keynote will address the potentials and promises of Artificial Intelligence (AI) for power system operations and control. AI has evolved over the last 40+ years to transform operations and 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.

Bio:    

Ganesh Kumar Venayagamoorthy (Fellow, IEEE) received the B.Eng. (Hons.) degree from Abubakar Tafawa Balewa University, Bauchi, Nigeria, in March 1994. He holds the M.B.A. degree in entrepreneurship and innovation from Clemson University, SC, in 2016. He received the M.Sc. Eng. and Ph.D. degrees in electrical engineering from the University of Natal, Durban, South Africa, in April 1999 and February 2002, respectively. He is the Duke Energy Distinguished Professor with Power Engineering and Professor with Electrical and Computer Engineering and Automotive Engineering, Clemson University. He has authored or coauthored more than 500 refereed technical articles. His publications are cited 19,000 times with a h-index of 65 and i10-index of 270. His research interests focus on development and innovation of smart grid technologies and operations. He is an inventor of technologies for scalable computational intelligence for complex systems and dynamic stochastic optimal power flow.