Genetic algorithms for optimal reactive power compensation on the national grid system

This work proposes an Integer-coded, multiobjective Genetic Algorithm (IGA) applied to the full Reactive-power Compensation Planning (RCP) problem considering both intact and contingent operating states. The IGA is used to simultaneously solve both the siting problem-optimization of the installation...

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Veröffentlicht in:	IEEE transactions on power systems 2005-02, Vol.20 (1), p.493-500
Hauptverfasser:	Furong Li, Pilgrim, J.D., Dabeedin, C., Chebbo, A., Aggarwal, R.K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Compensation Control systems Cost function Devices Dynamical systems Dynamics Genetic algorithms intact and contingent operating states Linear programming multiobjectives Optimization Optimization methods Power system planning reactive compensation planning Reactive power Software algorithms Software packages Studies System performance System testing
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