Simultaneous stabilization of multimachine power systems via genetic algorithms

This paper demonstrates the use of genetic algorithms for the simultaneous stabilization of multimachine power systems over a wide range of operating conditions via single-setting power system stabilizers. The power system operating at various conditions is treated as a finite set of plants. The pro...

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Bibliographic Details
Published in:IEEE transactions on power systems 1999-11, Vol.14 (4), p.1428-1439
Main Authors: Abdel-Magid, Y.L., Abido, M.A., Al-Baiyat, S., Mantawy, A.H.
Format: Article
Language:English
Subjects:
Damping
Eigenvalues
Eigenvalues and eigenfunctions
Genetic algorithms
Genetic engineering
IEEE members
Mathematical analysis
Optimization
Oscillations
Power plants
Power system analysis computing
Power system dynamics
Power system simulation
Power system stability
Power systems
Stabilization
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Summary:This paper demonstrates the use of genetic algorithms for the simultaneous stabilization of multimachine power systems over a wide range of operating conditions via single-setting power system stabilizers. The power system operating at various conditions is treated as a finite set of plants. The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. Two objective functions are presented, allowing the selection of the stabilizer parameters to shift some of the closed-loop eigenvalues to the left-hand side of a vertical line in the complex s-plane, or to a wedge-shape sector in the complex s-plane. The effectiveness of the suggested technique in damping local and inter-area modes of oscillations in multimachine power systems is verified through eigenvalue analysis and simulation results.
ISSN:0885-8950
1558-0679
DOI:10.1109/59.801907