Muhammad Inshal Shahzad

PhD Student

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Dissertation Advisor: Dr. Muhammad Gulzar

Research Areas:

• Cyber-resiliency of power system,
• Control of renewable energy,
• AGC/LFC in Smart Grid and Micro Grid and
• Fault diagnosis in power system

Journal Publication

1. From classical to AI-driven load frequency control: Addressing smart grid challenges with renewable energy sources and EVs integration
2. Advanced frequency stabilization framework for multi-area renewable energy grids with EV aggregator support: A multi-stage control perspective),

Conference Publications

1. Load frequency control of hybrid power system using marine predator algorithm tuned cascaded controller
2. Adaptive Model Predictive Control for Load Frequency Stabilization in Multisource Power Systems