Performance index based
analysis is made to examine and highlight the effective application of Particle
Swarm Optimization (PSO) to optimize the Proportional Integral gains for Load
Frequency Control (LFC) in a restructured power system that operates under
Bilateral based policy scheme. Various Integral Performance Criteria measures
are taken as fitness function in PSO and are compared using overshoot, settling
time and frequency and tie-line power deviation following a step load perturbation
(SLP). The motivation for using different fitness technique in PSO is to show
the behavior of the controller for a wide range of system parameters and load
changes. Error based analysis with parametric uncertainties and load changes
are tested on a two-area restructured power system. The results of the proposed
PSO based controller show the better performance compared to the classical
Ziegler-Nichols (Z-N) tuned PI and？Fuzzy
Rule based PI controller.
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