Design and Performance Analysis of PID based Controller for SMIB Power System using Firefly Algorithm

This article presents the design of a proportional, derivative and integral (PID) based controller using a new meta-heuristic Firefly algorithm (FFA) to optimize the parameters. The design of proposed PID controller using FFA is considered with an objective function based on minimization of square of error signal to guarantee the stability of a nonlinear power system for a wide range of conditions. The FFA optimized PID controller (FFA-PID) is applied to the standard single-machine infinite-bus (SMIB) power system model, and the performance were compared with previously established Ant Bee Colony based PID controller (ABC-PID), and Many Optimizing Liaisons based PID controller (MOL-PID). The performance is compared with simulation of the nonlinear power system for eight plant conditions, and superiority is validated using performance indices. Moreover, the superiority of the proposed controller is validated by plot of eigenvalue in left half of s-plane and verified over 231 plants, including very heavy operating conditions.