Title :
Simultaneous tuning of power system damping controllers using genetic algorithms
Author :
Do Bomfim, A.L.B. ; Taranto, Glauco N. ; Falcao, Djalma M.
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Rio de Janeiro, Brazil
fDate :
2/1/2000 12:00:00 AM
Abstract :
This paper presents a method that simultaneously tune multiple power system damping controllers using genetic algorithms (GAs). Damping controller structures are assumed to be fixed consisting basically of lead-lag filters. The tuning method takes robustness into consideration as it guarantees system stabilization over a prespecified set of operating conditions. Modified GA operators are used in the simultaneous optimization of both phase compensations and gain settings for the stabilizers. The method is applied for global PSS tuning to the well-known New England system and to the coordinated tuning of 22 PSSs in a 1762-bus modified equivalent South-Southeastern Brazilian system
Keywords :
control system analysis; control system synthesis; damping; genetic algorithms; optimal control; power system control; power system stability; robust control; tuning; Brazil; PSS; control design; control simulation; gain settings optimisation; genetic algorithms; lead-lag filters; phase compensation optimisation; power system damping controllers tuning; power system stabilization; robustness; Control systems; Damping; Filters; Genetic algorithms; Optimization methods; Power system control; Power system dynamics; Power system modeling; Power system reliability; Power systems;
Journal_Title :
Power Systems, IEEE Transactions on