A KKO based PID Stabilizer for Compensation of Low Frequency Oscillations in the Power System

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

“…Ref [2] used Firefly Algorithm to tune the parameters of PIDbased PSS controller for two cases of parametric bounds. Various other algorithms have been also used like Chaotic Particle Swarm Optimization (CPSO) [3], Kho-Kho Optimization [4], Search and Rescue Algorithm [5], Cuckoo Search Algorithm [6], Fuzzy Particle Swarm Optimization [7], Henry Gas Solubility Optimization [8], Farmland Fertility Algorithm [9], Differential Evolution Algorithm [10], [11], Ant Colony Optimization [12], Sine Cosine Algorithm [13], Particle Swarm Optimization [14], Archimedes Optimization Algorithm [15], Water Cycle Moth-Flame Optimization [16], Immune Genetic Algorithm [17], etc. Jaya algorithm have been used in solving a number of engineering optimization problems.…”

“…The parameters of PSS are typically fixed and this does not give them room for flexibility and adaptability in non-linear environment of the power system [3]. To provide optimization of the PSS values for system stability, several studies have been carried out such as the use of metaheuristic methods, chiefly for their ability to resolve complex continuous optimization problems successfully [4][5]. Another performance improvement measure employed in the AVR system is the Proportional Integral Derivative (PID) whose lack of prior knowledge of the process, ease of implementation and low cost makes it popular in industrial control systems.…”