My work focuses on power-system dynamics,
converter-based generation and large electrical loads.
Power-system
dynamics & control.
Much of my work starts with an electrical model: what a device controls, what the network sees, and what changes after a disturbance.
Meet Ibrahimh-index 17 · i10-index 22
Updated · 3 November 2026
01 / Research
My current work concerns large electrical loads, frequency support and the stability of grids with more power-electronic interfaces.
LARGE ELECTRONIC LOADS
I model how changes in computing demand reach the grid through a data center’s electrical systems.
I study how local energy storage can buffer those changes, and how buffering interacts with voltage control and the facility’s response to disturbances.
Plans for AI infrastructure at NEOM’s Oxagon are one reason these questions matter locally.
Read NEOM’s announcementFREQUENCY DYNAMICS
I study how batteries, renewable plants and synchronous machines support frequency after a disturbance.
The question is what these resources deliver together through the network, and how their location and control settings affect that response.
CONVERTER-DOMINATED GRIDS
I investigate how grid-forming and grid-following converters interact with the network.
My current work examines synchronization, voltage control and oscillation damping, particularly where the grid connection is weak.
Across these areas, I use electrical models to connect the behaviour of individual devices to the response of the wider system.
Published work02 / Teaching
A concise walkthrough of small-signal analysis and frequency control. Start with a model, then follow the system’s response.
REE 404 · A GUIDED WALKTHROUGH
From a small disturbance
to a system back in balance.
SMALL-SIGNAL ANALYSIS
At an operating point, the system is in balance. For a small disturbance, we can approximate its nonlinear dynamics with a linear model and study how the deviations evolve.
A local model helps explain what happens near a particular operating point.
The linearized model depends on the equilibrium. A change in loading or control settings can change the modes—and the response.
MODES & DAMPING
Eigenvalues describe the model’s natural modes. Their real parts govern growth or decay; their imaginary parts describe oscillation. For an oscillatory mode, greater damping means the oscillation dies away more quickly.
Stability asks whether a disturbance decays. Damping asks how it settles.
Yes. A lightly damped mode can keep oscillating long after the disturbance. Stability alone does not describe the quality of the response.
FREQUENCY CONTROL
When demand exceeds generation, frequency falls. Inertia resists the initial change. Primary control and fast frequency support help reduce the imbalance and arrest the fall.
Stopping the fall does not necessarily restore nominal frequency.
FREQUENCY CONTROL
Secondary control adjusts power references to remove the remaining frequency error. It works on a slower timescale, bringing the system back toward nominal frequency after the initial response.
Read the response in layers: initial change, arrest, then restoration.
Illustrative teaching diagrams.
FROM THE CLASSROOM · TRY IT
Two ideas students meet in EE205 and REE 404. Drag the sliders, and hover over the components.
EE205 · RESONANCE
Drive a series RLC circuit and watch the current. Near one frequency, the inductor and capacitor cancel and the current peaks.
REE 404 · THE WEAK-GRID DILEMMA
A grid-following converter tracks the grid voltage with a phase-locked loop. Lower the short-circuit ratio and watch its oscillation and its eigenvalues.
QUALITATIVE ILLUSTRATION OF THE REE 404 LECTURE MODEL · STRONG GRID → WEAK GRID
03 / The journey
My path has moved between Hail and Tampa, between optimization and control, and between the research model and the classroom.
2007—2012
B.S. in Electrical Engineering at the University of Hail.
Hail, Saudi Arabia2014—2020
M.S. and Ph.D. at the University of South Florida. Doctoral research with Lingling Fan on voltage regulation in PV-rich multiphase networks.
Tampa, Florida2021—2025
Assistant Professor at Hail. Research in flexibility and converter dynamics. Led the winning NeomFlex team in 2023.
Research + teaching + projects2025—NOW
Associate Professor. Research on converter-dominated grids, coordinated frequency support and large electrical loads.
University of HailA MILESTONE ALONG THE WAY
I led the winning NeomFlex team as principal investigator. The project explored multi-agent learning for energy flexibility and remains an important part of my research journey.
2025–present Associate Professor
2021–2025 Assistant Professor
2017–2021 Lecturer
2013–2017 Teaching Assistant
All appointments at the University of Hail.Scientific Council research-excellence and faculty-promotion committees; supervision of undergraduate and graduate projects.
IEEE PES task-force work on IBR oscillations, RMS models of IBR controls, and reinforcement learning for dynamic system control.
North American Power Symposium · IEEE PES General Meeting · Saudi Arabia Smart Grid · ICPET.
Conversations across research, education and the energy transition.
04 / Publications
CURATED RECORD · NOVEMBER 2026
Journal articles, conference papers & dissertation
THE NEXT CONNECTION
Research collaboration. Student supervision.
A challenging power-system problem.
Let’s start a conversation.
