Title :
Optimal design of power system stabilizers using evolutionary programming
Author :
Abido, M.A. ; Abdel-magid, Y.L.
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fDate :
12/1/2002 12:00:00 AM
Abstract :
The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances, loading conditions, and system configurations is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness and robustness of the proposed PSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions and system configurations.
Keywords :
damping; eigenvalues and eigenfunctions; evolutionary computation; oscillations; power system dynamic stability; disturbances; eigenvalue analysis; eigenvalues; electromechanical modes; evolutionary programming; interarea oscillation modes damping; loading conditions; multimachine power system; nonlinear simulation; optimal design; optimal settings; optimization technique; power system stabilizers; robustness; s-plane; system configurations; Algorithm design and analysis; Analytical models; Computational modeling; Design optimization; Eigenvalues and eigenfunctions; Genetic programming; Power system analysis computing; Power system simulation; Power systems; Robustness;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2002.805179