This thesis deals with application of single and dual input power system stabilizers (PSS) to a single machine infinite bus (SMIB) system and application of Delta-Omega PSS in a multi machine system.

Studies considering PSS based on Delta-Omega-PSS, PSS based on electrical power deviation (Delta-Pe-PSS) and dual input PSS (Delta-P-Omega PSS) have been presented. Integral of square error (ISE) is used as objective function for optimization of PSS parameters. PSS are optimized by conventional phase compensation technique and genetic evolutionary algorithm (GEA).

A systematic approach for identifying the optimum location in a multi-machine system using participation factors has been presented. A comprehensive approach for the optimization of PSS using GEA has been presented. Two alternative structures of the Delta-Omega PSSs have been considered. Studies show that the optimum PSS provides satisfactory dynamic performance under variation in system loading condition. Studies also show that the PSS optimized considering a linear dynamic model work satisfactory both for small and large perturbations.