Muthanna Al-Sarray Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
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Biography and Research Information
OverviewAI-generated summary
Muthanna Al-Sarray's research focuses on power systems analysis and modeling. His work includes the real-time estimation and validation of inertia in power systems using Phasor Measurement Unit (PMU) data and the swing equation. Al-Sarray also investigates the validation of power system steady-state models through synchrophasors. He has contributed to the development of PMU-based wind power system models, employing methods such as modified Ward reduction.
Al-Sarray has a publication record with a h-index of 5 and 59 total citations across 17 publications. His key collaborators at the University of Arkansas at Fayetteville include Roy McCann, Mahmood Saadeh, and Mustafa A. Mhawesh, with whom he shares multiple publications. His most recent publication is from 2025, indicating recent activity in his field.
Metrics
- h-index: 5
- Publications: 17
- Citations: 59
Selected Publications
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Real-Time Inertia Estimation and Validation Using PMU Data and the Swing Equation in Power Systems (2025)
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Power System Steady State Model Validation Using Synchrophasors (2023)
Collaboration Network
Top Collaborators
- Power System Steady State Model Validation Using Synchrophasors
- Real-Time Inertia Estimation and Validation Using PMU Data and the Swing Equation in Power Systems
- Development of a PMU-Based Wind Power System Model via Modified Ward Reduction
- Development of a PMU-Based Wind Power System Model via Modified Ward Reduction
- Development of a PMU-Based Wind Power System Model via Modified Ward Reduction
- Development of a PMU-Based Wind Power System Model via Modified Ward Reduction
- Development of a PMU-Based Wind Power System Model via Modified Ward Reduction
- Development of a PMU-Based Wind Power System Model via Modified Ward Reduction
- Power System Steady State Model Validation Using Synchrophasors
- Power System Steady State Model Validation Using Synchrophasors
- Real-Time Inertia Estimation and Validation Using PMU Data and the Swing Equation in Power Systems