Parameter optimization of multimachine power system stabilizers using genetic local search

International Journal of Electrical Power and Energy Systems

Volumn 23, Issue 8, 2001, Pages 785-794

  Abido, M A ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Dynamic stability; Genetic algorithm; Local search; PSS

Indexed keywords

COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; ELECTRIC LOADS; GENETIC ALGORITHMS; HEURISTIC METHODS; MATHEMATICAL MODELS; OPTIMIZATION; SYSTEM STABILITY;

POWER SYSTEM STABILIZERS (PSS);

ELECTRIC POWER SYSTEMS;

EID: 0035502064     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0142-0615(00)00096-X     Document Type: Article

References (24)

1. Concepts of synchronous machine stability as affected by excitation control
2. Self-tuning controller for generator excitation control
3. A nonlinear variable structure stabilizer for power system stability
4. A hybrid Neuro-fuzzy power system stabilizer for multimachine power systems
5. Applying power system stabilizers
6. Refinement of conventional PSS design in multimachine system by modal analysis
7. Application of power system stabilizers for enhancement of overall system stability
8. A new power system stabilizer synthesis in multimachine power systems
9. Results of a study on location and tuning of power system stabilizers
10. Design of stabilizers in multimachine power systems
11. Coordinated synthesis of multimachine power system stabilizer using an efficient decentralized modal control (DMC) algorithm
12. Pole-placement power system stabilizers design of an unstable nine-machine system
13. The optimization method for coordinated tuning of power system regulators
14. Robust decentralised control design using genetic algorithms in power system damping control
15. Simultaneous stabilization of multimachine power systems via genetic algorithms
16. A novel approach to conventional power system stabilizer design using Tabu search
17. Robust design of multimachine power system stabilizers using simulated annealing
18. An introduction to simulated evolutionary optimization