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The Application of Bio Inspired Algorithms to complicated Power SystemStability Problems has recently attracted the researchers in the field ofArtificial Intelligence. Low frequency oscillations after a disturbance in aPower system, if not sufficiently damped, can drive the system unstable. Thispaper provides a systematic procedure to damp the low frequency oscillationsbased on Bio Inspired Genetic (GA) and Particle Swarm Optimization (PSO)algorithms. The proposed controller design is based on formulating a SystemDamping ratio enhancement based Optimization criterion to compute the optimalcontroller parameters for better stability. The Novel and contrasting featureof this work is the mathematical modeling and simulation of the Synchronousgenerator model including the Steam Governor Turbine (GT) dynamics. To show therobustness of the proposed controller, Non linear Time domain simulations havebeen carried out under various system operating conditions. Also, a detailedComparative study has been done to show the superiority of the Bio inspiredalgorithm based controllers over the Conventional Lead lag controller.

Implementation of an Innovative Bio Inspired GA and PSO Algorithm for Controller design considering Steam GT Dynamics