Hossam E.A. Talaat

Work place: Electrical Power Eng. Dept., Ain Shams Univ., Cairo, Egypt

E-mail: hossam_talaat@eng.asu.edu.eg


Research Interests: Computer systems and computational processes, Neural Networks, Computer Architecture and Organization, Computer Networks, Data Structures and Algorithms


Hossam E.A. Talaat received the B.Sc. and M.Sc. degrees from Ain Shams University, Cairo, Egypt in 1975 and 1980 respectively, and his Ph.D. degree from University of Grenoble, France in 1986. During 1999-2001. He is a reviewer of many international journals (IEEE, IET, Electric Power System Research, Electrical power and Energy systems, ...). He has supervised 40+ Ph.D. and M.Sc. theses in the field of power system operation, control, stability and protection. He has taught tens of undergraduate and graduate courses in this field. He has authored and co-authored more than 70 technical papers and reports. He has accomplished several research projects as PI and as the investigator. He was the reviewer of a number of academic undergraduate and postgraduate programs for Egyptian and Arabic Universities. He is the Chairman of 2 IEC committees (49&93) and was a member of the Egyptian National board of Electricity and Energy Researches– Scientific Research and Technology Academy. He is the Chairman of the Middle East Conference on Power Systems MEPCON 2014 to be held on 23th-25th December 2014. He is interested in many research areas such as: Distributed Generation and Micro grids, Application of artificial intelligence techniques (Neural Networks, Knowledge-Based systems, Genetic Algorithms, and Fuzzy Logic) to Power System analysis, control, and protection; Real time applications to electrical power systems and machines; Application of optimal and adaptive control techniques for the enhancement of power system stability. His email is:  hossam_talaat@eng.asu.edu.eg .

Author Articles
Modified Particle Swarm Optimization Based Proportional-Derivative Power System Stabilizer

By Nader M.A. Ibrahim Hossam E. M. Attia Hossam E.A. Talaat Ali H. Kasem Alaboudy

DOI: https://doi.org/10.5815/ijisa.2015.03.08, Pub. Date: 8 Feb. 2015

During a change in operating condition, oscillations of small magnitude and low frequency often persist for long periods of time and in some cases even present limitations on power transfer capability. Generators in power systems are equipped with automatic voltage regulator (AVR) to control terminal voltage. It is known that AVR has a detrimental impact upon the dynamic stability of the power system. Power system stabilizers (PSS) are widely used to generate supplementary control signals for the excitation system in order to damp out low-frequency oscillations (LFOs). In this paper proportional-derivative power system stabilizer (PD-PSS) used to damping LFO after tuning the gains of the PSS by using PSO. The damping boundary condition of PSO technique is modified to improve its performance in the tuning and optimization process. Simulation studies performed on a typical single-machine infinite-bus (SMIB) system used in MATLAB Simulink program. Assessing the performance of the proposed modified PSO based PD-PSS with Speed deviation (∆ω) as an input signal using eigenvalue analysis. The proposed PSO based PD-PSS is evaluated and examined under different operating conditions and inertia constant each one of them applied with two test cases small disturbance and short circuit. A comparative study between the proposed PSO based PD-PSS, original PSO based PD-PSS, and lead-lag PSS is done in this work. The results ensure the superiority, the effectiveness, and the robustness of the proposed PSS over the other techniques.

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