Very Large-Scale Integration of Renewables into Power Grids: Shoving through Variabilities
The aggressive very-large scale integration (VLSI) of Renewable Energy Sources (RES) into power grids, not only at the macroscale level at the transmission system but fundamentally at the microscale one at the residential customer end, is creating significant challenges and complex operation paradigms for system operation and control. As the majority of the integrated RES have intermittent characteristics, uncertainties in the grid system are further exacerbated. In this talk, the historical background and drivers for the shift to RE-dominated system will be presented. The characteristics of the grid with VLSI of variable RE will be highlighted. The stochastic scheduling of generation under different operating conditions and services will be elaborated. Incorporation of smart grid tools such as demand dispatch, utility-scale energy storage, and flexible ramping products will be further illustrated.
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- Date: 16 Aug 2022
- Time: 07:00 PM to 08:30 PM
- All times are (UTC-03:00) Atlantic Time (Canada)
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Dr. Hamed Aly
- Co-sponsored by Atlantic Section PES/IAS Chapter
- Starts 01 August 2022 09:00 AM
- Ends 16 August 2022 09:00 AM
- All times are (UTC-03:00) Atlantic Time (Canada)
- No Admission Charge
Speakers
Dr. Mohamed Shaaban of University of Malaya
Very Large-Scale Integration of Renewables into Power Grids: Shoving through Variabilities
Abstract:
The aggressive very-large scale integration (VLSI) of Renewable Energy Sources (RES) into power grids, not only at the macroscale level at the transmission system but fundamentally at the microscale one at the residential customer end, is creating significant challenges and complex operation paradigms for system operation and control. As the majority of the integrated RES have intermittent characteristics, uncertainties in the grid system are further exacerbated. In this talk, the historical background and drivers for the shift to RE-dominated system will be presented. The characteristics of the grid with VLSI of variable RE will be highlighted. The stochastic scheduling of generation under different operating conditions and services will be elaborated. Incorporation of smart grid tools such as demand dispatch, utility-scale energy storage, and flexible ramping products will be further illustrated.
Biography:
Mohamed Shaaban received his B.Sc. (Honours) and M.Sc. degrees from Suez Canal University, Egypt and his Ph.D. degree (all in Electrical Engineering) from the University of Hong Kong in 1990, 1996, and 2002 respectively. He held previous appointments at Suez Canal University and Port Said University, Egypt, Qassim University, Saudi Arabia, University of Strathclyde, UK, Universiti Teknologi Malaysia, and Universiti Malaysia Sarawak, Malaysia. He was a Visiting Professor at Washington State University, Pullman, WA, USA in 2007 and National Chung Cheng University, Taiwan in 2015. He is serving as a Visiting Professor at Tanta University, Egypt since 2020. He is currently an Associate Professor at the Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia. His current research interests include distributed generation scheduling, large-scale optimization, microgrid operation, smart distribution grids, renewable energy integration, and big data analytics applications in energy systems. He has more than 90 publications in various journals and international conferences. Dr. Shaaban is a Chartered Engineer, UK, a member of IET, and a Senior Member, IEEE.