Prof. Waheed Sabry
Prof. W. Sabry earned a B.Sc. in Electrical Engineering, June 1987 from Electrical Power and Energy Department, Military Technical College (MTC), Cairo, Egypt. In Jan. 1993, he earned a M.Sc. in Electrical Engineering from MTC, and a Ph.D. in Electrical Engineering from MTC, in Feb. 1998. In June 1995, he earned a Diploma in Statistics, Institute of Statistical Studies and Researches (ISSR), Cairo University, Cairo, Egypt and in June 2002, he earned a M.Sc. in Mathematical Statistics, ISSR. In 2001, he joined the Bradley Department of Electrical and Computer Engineering as a Post-doctoral researcher in Virginia Tech. University, VA, USA. In Jan. 2005, he earned the degree of Assoc. Prof. in Electrical Engineering. In Jan. 2015, he earned the degree of Full Prof. in Electrical Engineering. From June 2001 to Jan. 2011, he was the head of Electrical Power and Energy Department, MTC. From Jan. 2005 till now, he is the head of Electrical Power and Energy Department scientific council, MTC. From Sep. 2015 to Aug. 2016, he was the Dean of the High Institute for Engineering and Technology, Luxor, Egypt. From Sep. 2016 to Jan. 2020, he was the Head of Electrical Power and Energy Department, Valley Higher Institute for Engineering and Technology, Science Valley Academy (SVA), Cairo, Egypt. From Feb. 1, 2020 till Sep. 2020, he is a Prof. of Electrical Engineering in the Higher Technological Institute (HTI), 10th of Ramadan city, Sharqia, Egypt. From Oct. 2020 till now, he is the Dean of The High Institute of Engineering and Technology in King Marriott, Alexandria, Egypt. His research interests are in the area of power system control and stability.
Phone: 01001455463
Address: New Cairo
5th Settlement
Phone: 01001455463
Address: New Cairo
5th Settlement
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Papers by Prof. Waheed Sabry
of the system is accomplished.
optimization approach to optimally solve the sizing
problem of capacitor for the voltage stability
enhancement in radial distribution networks using
Discrete Multi Objective Particle Swarm Optimization
MOPSO technique. The novel optimization approach
using Multi Objective Particle Swarm Optimization
MOPSO is implemented to tackle a number of
conflicting goals that define the complex optimality
problem.The equivalent generic single-line system
model (EGSLM) is applied. Multi-Objective Particle
Swarm Optimization MOPSO is then carried out to
find the optimal capacitor bank sizes that minimizes
several conflicting objective functions.
of the system is accomplished.
optimization approach to optimally solve the sizing
problem of capacitor for the voltage stability
enhancement in radial distribution networks using
Discrete Multi Objective Particle Swarm Optimization
MOPSO technique. The novel optimization approach
using Multi Objective Particle Swarm Optimization
MOPSO is implemented to tackle a number of
conflicting goals that define the complex optimality
problem.The equivalent generic single-line system
model (EGSLM) is applied. Multi-Objective Particle
Swarm Optimization MOPSO is then carried out to
find the optimal capacitor bank sizes that minimizes
several conflicting objective functions.