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Unit commitment, Renewable integration, Quantum computing for power systems, Stochastic AC Optimal Power Flow, Grid-forming & grid-following inverters, HVDC design, Machine learning for power systems

Aoun_img

Aoun Abbas

Ph.D. Student, Electrical and Computer Engineering

Unit commitment, Renewable integration, Quantum computing for power systems, Stochastic AC Optimal Power Flow, Grid-forming & grid-following inverters, HVDC design, Machine learning for power systems

Aoun is a Ph.D. student in the department of Electrical and Computer Engineering at KAUST working on unit commitment optimization for systems with high renewable penetration. His research spans unit commitment with stability constraints for high integration of renewable sources, stochastic AC optimal power flow, inverter modeling for wind farms, HVDC power transfer design, and exploring quantum computation techniques for unit commitment. He combines power-systems expertise with applied machine learning and practical experience in MATLAB and Python-based toolchains, including quantum frameworks

Optimization and Machine Learning (OML)

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