Work place: YMCA Univ. of Science and Technology, DTU /Electronics Engg, Electrical Engg, Faridabad, Delhi, India
E-mail: dnk_1963@yahoo.com
Website:
Research Interests: Engineering
Biography
Narender Kumar was born in Aligarh (India). He received his B.Sc. Engg. & M.Sc. Engg in Electrical Engineering from A.M.U. Aligarh in 1984 & 1986 respectively. Presently, he is Professor of Electrical Engg. in Delhi Technological University, Delhi.
Prof. Narender Kumar has published various papers in national and international conferences and journals. Prof. NarenderKumar’s main area of interest are Power System Operation Control & Simulation, SSR, AGC etc.
By Poonam Singhal S. K. Agarwal Narendra Kumar
DOI: https://doi.org/10.5815/ijisa.2015.01.10, Pub. Date: 8 Dec. 2014
The interconnected systems is continually increasing in size and extending over whole geographical regions, it is becoming increasingly more difficult to maintain synchronism between various parts of the power system. This paper work presents an advanced adaptive Particle swarm optimization technique to optimize the SVC controller parameters for enhancement of the steady state stability & overcoming the premature convergence & stagnation problems as in basic PSO algorithm & Particle swarm optimization with shrinkage factor & inertia weight approach (PSO-SFIWA). In this paper SMIB system along with PID damped SVC controller is considered for study. The generator speed deviation is used as an auxiliary signal to SVC, to generate the desired damping. This controller improves the dynamic performance of power system by reducing the steady-state error. The controller parameters are optimized using basic PSO, PSO-SFIWA & Advanced Adaptive PSO. Computational results show that Advanced Adaptive based SVC controller is able to find better quality solution as compare to conventional PSO & PSO-SFIWA Techniques.
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