Mohammad AlMuhaini

Associate Professor

King Fahd University of Petroleum and Minerals

Mohammad AlMuhaini received his Ph.D. degree from the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU) in 2012, and his M.S. and B.S. degrees in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia in 2007 and 2004, respectively. He was the chair of the IEEE Saudi Arabia section from 2018 to 2021. Dr. AlMuhaini has developed and coordinated the M.Eng program in Sustainable and Renewable Energy and the undergraduate concentration in Energy Efficiency at KFUPM. He was also the office head of the KFUPM Institute for Knowledge Exchange. He was a visiting scholar in Texas A&M and Princetion University in 2008 and 2022-2023. 


His research interests include Reliability, Security and Resiliency of Smart Grids, renewable energy integration, and cyber-physical-social systems.

Participates in

TECHNICAL PROGRAMME | Energy Technologies

Powering Mobility: The Energy Transition and the Future of Transportation
Forum 24 | Digital Poster Plaza 4
30
April
12:00 14:00
UTC+3
In recent years, power systems have undergone significant transformations owing to the increased integration of information and communication technologies. Consequently, the power network is now regarded as a highly interconnected cyber-physical infrastructure. Furthermore, the grid's vulnerability to extreme natural and anthropogenic events has emerged as a critical area of research, driven by the rising frequency of such occurrences and their devastating impacts. Mobile Energy Resources (MERs), including energy storage and Vehicle-to-Grid (V2G) electric vehicles, possess the capability to enhance the restoration process and bolster resiliency. This study proposes a Markov-based platform designed to model and assess the resiliency of cyber-physical power systems, incorporating MER while accounting for major physical and cyber incidents. The proposed algorithm is optimized to circumvent scalability challenges associated with larger systems, and the IEEE-14 bus system is utilized to illustrate the framework.
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