Title :
Design of robust power system stabilizers for Iraqi power network
Author :
Almurib, Haider A F ; Hassan, Lokman H. ; Moghavvemi, M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Nottingham, Semenyih, Malaysia
Abstract :
In this paper, Genetic Algorithms is applied to find out the number of PSSs and to optimize their parameters and locations under different operating conditions for Iraqi power network. The problem is formulated as an optimization problem to maximize the minimum damping ratio of the electromechanical modes using different number of PSSs. The robustness and effectiveness of the proposed approach is approved in damping of electromechanical modes of oscillations using Eigenvalues analysis and nonlinear simulation results.
Keywords :
eigenvalues and eigenfunctions; electric power generation; genetic algorithms; power grids; power system stability; transmission networks; Iraqi power network; damping ratio; eigenvalue analysis; electromechanical mode; genetic algorithm; optimization problem; oscillation; robust power system stabilizer design; Damping; Eigenvalues and eigenfunctions; Genetic algorithms; Oscillators; Power system stability; Robustness; Stability analysis; Genetic algorithm; Low-frequency oscillations; PSS design; number; optimal location;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8
