IEEE Power Engineering Society Summer Meeting,
DOI: 10.1109/pess.2002.1043452
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Genetic algorithm based inter-area oscillation damping controller design using MATLAB

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Cited by 32 publications
(27 citation statements)
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“…The results are compared with (i) fixed gain backstepping controllers tuned by PSO and (ii) fixed gain linear PSS tuned by a genetic algorithm [19].…”
Section: Case Studymentioning
confidence: 99%
“…The results are compared with (i) fixed gain backstepping controllers tuned by PSO and (ii) fixed gain linear PSS tuned by a genetic algorithm [19].…”
Section: Case Studymentioning
confidence: 99%
“…The simultaneous tuning of PSSs has been investigated by heuristic methods and many PSS tuning methods using genetic algorithms (GAs) have been published [50][51][52]. These strategies investigated the use of GAs in order to simultaneously tune the PSS parameters through values that stabilize multi machine power system over a wide range of scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…Many PSS tuning methods using GA were presented in [5][6][7][8]. These works investigated the use of genetic algorithms for simultaneously stabilization of multimachine power system over a wide range of scenarios via power system stabilizers with fixed parameters.…”
Section: Introductionmentioning
confidence: 99%
“…These works investigated the use of genetic algorithms for simultaneously stabilization of multimachine power system over a wide range of scenarios via power system stabilizers with fixed parameters. In [5,6] simultaneous tuning of PSS for the 16-machines and 68-bus power system model was performed in different scenarios The objective function used for GA optimization was to maximize the sum of eigenvalues dampings and the maximum of the minimum eigenvalues dampings for all scenarios with fixed location of PSSs. In [8] a multiobjective optimization technique using GA with a conventional control of forcing positions of eigenvalues in the left-half side is described.…”
Section: Introductionmentioning
confidence: 99%
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