Speakers:

Dr. Muhammad Majid Gulzar
Associate Professor
Control and Instrumentation Engineering Department

King Fahd University of Petroleum and Minerals

Dhahran, Saudi Arabia

Ms. Maira Naz
Inbound Visiting Graduate Student
Control and Instrumentation Engineering Department

King Fahd University of Petroleum and Minerals

Dhahran, Saudi Arabia

Abstract:

Frequency stability is crucial for the optimal operation of a contemporary power grid, featuring an assortment of generation sources including conventional sources of energy (reheat-based thermal plant, gas plant and hydropower plant), renewables (solar and wind-driven sources) and energy storage devices such as Electric vehicles (EVs). Due to this, load frequency control (LFC) plays a key role in effective frequency regulation by maintaining an equilibrium between generation and load demand, ensuring a secure and adaptable power system. Therefore, this study incorporates an innovative hybrid cascaded controller with an LFC loop, applied to an identical two-area power grid featuring EVs. The intermittent nature of renewable energy sources (RESs), combined with various load perturbations, physical nonlinearities, communication time delays and variations of system parameters exacerbate frequency oscillations and make the load frequency control crucial for ensuring the high quality, robust and resilient power system. The recommended control structure combines a fractional-order proportional-integral-derivative controller (FOPID) with a tilt-fractional-order integral-derivative (TFOID) in a cascaded configuration. The suggested CC FOPID-TFOID controller parameters have been optimized utilizing the golden jackal optimization algorithm (GJO), while integral time square error (ITSE) is employed as a performance metric. The superiority of the GJO optimized CC FOPID-TFOID controller is substantiated to attain a considerable improvement in system dynamic performance by benchmarking it with other controllers outlined in literature such as Integral derivative-tilt (ID-T), Fractional integral derivative-tilt (FID-T) and fractional-order PID (FOPID) controllers, across the multiple operating conditions including step, multistep and random load perturbations, system uncertainties, high penetration of renewables, and communication time delay.

Speaker Bio:

Dr. Muhammad Majid Gulzar is an associate professor in the Department of Control & Instrumentation Engineering (CIE), King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He received his Ph.D. degree with a specialization in Electrical Engineering (Control Science and Engineering) from the University of Science and Technology of China (USTC) in 2016. He is a member of the Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES), KFUPM, Pakistan Engineering Council (PEC), and IEEEP (P). His areas of interest are Operation and Control of Renewable Energy Systems, Optimization Techniques and Applications, Control Systems, AGC/LFC in Smart Grids, AI/ML Techniques, etc. He has advised several projects in these areas and has published 100+ research papers with a commutative impact factor of 250+ in reputed international journals and conferences. Elsevier and Standard University, USA has placed him among the “Top 2% of scientists worldwide” for 2024 in the field of Energy.

Ms. Maira Naz is an Inbound Visiting Graduate Student in the Department of Control & Instrumentation Engineering (CIE), King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. She is pursuing her doctorate in Electrical Engineering from the Government College University Faisalabad (GCUF), Faisalabad, Pakistan. She received her B.Sc degree in Electrical Engineering from the University of Engineering and Technology, Lahore in 2010, and her M.S. degree in Electrical Engineering from the Government College University (GCU), Lahore. Her research interests include Operational and Control of Renewable energy integrated power systems, Artificial intelligence-based Data Modelling, Optimization techniques, and Energy storage devices.