K. A. Ellithy

Work place: Department of Electrical Engineering, Qatar University, Qatar

E-mail: k.ellithy@qu.edu.qa


Research Interests: Engineering


Khaled A. Ellithy (SM’83, M’88, SM’00) received the MSc. and PhD. degrees from West Virginia University, Morgantown, WV in 1983 and 1987, respectively. Dr. Ellithy is now associate professor in Department of Electrical Engineering at Qatar University and he was the power systems chair for Qatar Electricity & Water Company (QEWC).  Dr. Khaled is an Honored Associate Research Fellow, Brunel University, UK. Dr. Khaled has previously taught in ECE Department at West Virginia University, USA; Sultan Qaboos University, Oman; United Arab Emirates University, UAE; and Cairo University-Alfayum branch. He has supervised several MSc and PhD students in the area of power system analysis. He has published several papers in IEEE Transactions and international journals in electrical power engineering. He has been awarded the prizes of the best applied research papers at 2000 and 2010 GCC-Cigré power conferences. He received the IEEE award of Outstanding Branch Counselor and Advisory Nominee. He is the counselor of IEEE student branch at Qatar University. He has carried out several consultants and research projects for power utilities and industrials. His current research interests include power systems dynamic & control, power systems quality and influence of extremely low frequency electric and magnetic fields on humans.

Author Articles
Design of Decentralized Fuzzy Logic Load Frequency Controller

By K. A. Ellithy K.A. El-Metwally

DOI: https://doi.org/10.5815/ijisa.2012.02.08, Pub. Date: 8 Mar. 2012

This paper presents a novel approach for designing a decentralized controller for load frequency control of interconnected power areas. The proposed fuzzy logic load frequency controller (FLFC) has been designed to improve the dynamic performance of the frequency and tie line power under a sudden load change in the power areas. The effect of generation rate constraint (GRC) for both areas has been considered in the controller design. The proposed FLFC consists of two internal fuzzy logic controllers namely, the PD-like fuzzy logic controller and the PI-like fuzzy logic controller. The FLFC has been co-coordinated with the conventional integral controller. Time-domain simulations using MATALB/SIMULINK program has been performed to demonstrate the effectiveness of the proposed FLFC. The simulation results show that the proposed FLFC can provide good damping and reduce the overshoot even in the presence of the GRC.

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