Speaker: Mr. Muhammad Saeed Tolba, Graduate Student, Control and Instrumentation Engineering Department

Abstract:

The growing energy demands, coupled with a heavy reliance on renewable energy sources, have increased the strain on power systems. Managing this strain is critical to maintaining stable and reliable grid operations. System frequency, which directly influences grid stability, is particularly sensitive to imbalances between power generation and demand. Deviations in frequency can lead to over-voltage, grid damage, or even complete blackouts. This study proposes advanced methods to address load frequency control (LFC) challenges arising from fluctuating demand and increased renewable energy integration. Initially, a Proportional-Integral (PI) controller optimized using the Genetic Algorithm (GA) and refined through the Firefly Algorithm (FA) is implemented. Further enhancement is achieved with a Fractional Order Proportional-Integral-Derivative (FOPID) controller, tuned via the Dragonfly Search Algorithm (DSA). Additionally, a multi-layered PI-PD controller, optimized using Grey Wolf Optimization (GWO), is introduced. Comparative analysis shows that the GWO-PI-PD controller outperforms other approaches in mitigating LFC issues effectively.

Speaker Bio:

Mr. Muhammad Saeed Tolba received his Bachelor degree in Mechatronics Engineering from Helwan University, Egypt in 2016 and his Master's degree in the same field from Egypt-Japan University of Science and Technology (E-JUST), Egypt in 2023. Currently, he is pursuing his Ph.D. Degree in Systems and Control Engineering in the Control and Instrumentation Engineering Department at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, and holds a position as a Teaching Assistant in the same department. His research focus encompasses Load Frequency Control (LFC), intelligent control systems, optimization algorithms, and nonlinear control systems.

All Faculty, Researchers, and Graduate Students are invited to attend.