Adaptive Jaya Algorithm for Optimized PI-PD Cascade Controller of Load Frequency Control in Interconnected Two-Area Power System

Abstract

This paper proposes an adaptive Jaya optimization algorithm (AJOA) scheme for optimizing the cascade PI-PD controller gains in Automatic Generation Control (AGC) of the power system to further enhance the load frequency control (LFC) performance. Jaya algorithm is a more recent and powerful heuristic search process. In spite of this, the original Jaya algorithm (OJA) may degrade its search performance by reason of the absence of algorithm-specific parameters. A maiden effort has been applied to consider an algorithm-specific variable (i.e., weight parameter) in the OJA for augmenting its search process towards the optimal result. The search performance of AJOA based on different unconstrained benchmark problems realized to be more appropriate than Particle swarm optimization (PSO), Gravity search algorithm (GSA), Ant lion optimization (ALO), and the original Jaya algorithm. Illustration of convergence characteristics of the above-mentioned algorithms, the AJOA is quite faster in contributing to the optimal solution and leading to a reduction in computational burden. In addition, the investigations reveal that AJOA with PI-PD cascaded controller suppressing the dynamics of the frequency oscillations in an interconnected two-area power system during the system events such as variations in parameters and load perturbations.