Work place: Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt
E-mail: masharkawy@yahoo.com
Website:
Research Interests: Computational Engineering, Engineering
Biography
Metwally A. Elsharkawy: received his B. Sc. & M. Sc. Degrees from the Department of Electrical Power and Machines, Ain Shams University, Cairo, Egypt in 1964 and 1970, respectively. He received the PhD degree from the Leningrad Polytechnical Institute, USSR, in 1974. Since January 1988 He is a Prof. of Electrical Power Systems in the Electrical Power and Machines Engineering Department, Ain Shams University. He has been a visiting Prof in many universities in Iraq, and Egypt. He has more than 60 published papers in journals and conferences. He supervised about 30 M. Sc. and Ph.D. thesis (granted), mainly in analysis and control on power systems and power quality. He is registered as a Professional Engineer in the Syndicate of Egyptian engineers, and acted as an independent consultant for several electrical installations and power networks planning projects in Egypt. He was selected as a member of the Board of Directors of the Delta Company for Electricity Distribution in Egypt and occupied this position for 6 years.
By Wael M. Elmamlouk Hossam E. Mostafa Metwally A. El-Sharkawy
DOI: https://doi.org/10.5815/ijisa.2013.08.07, Pub. Date: 8 Jul. 2013
PI controller tuning with the assumption of linear PWM model leads to unsatisfactory results under varying operating conditions. Optimal tuning of PI gains is required to get the best response of PI controllers. This paper presents a new method for harmonic suppression using particle swarm optimization (PSO) based PI controller (PSOPI) to estimate an efficient shunt active power filter (SAPF). The proposed filter is tested on a 13 bus industrial distribution system. The study system with the 18 study cases are simulated through MATLAB Simulink with different loading condition and single and multi harmonic sources. The results of applying the PIPSO controller are compared with those out of a double proportional controller (DPC). The obtained results ensure the effectiveness of the proposed filter and its superiority in reducing harmonics.
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