A Novel Application of Salp Swarm Algorithm in Load Frequency Control of Multi-Area Power System

The present work addresses a novel optimization technique called as "Salp Swarm Algorithm (SSA)" to obtain the ideal and efficient solution for load frequency control (LFC) issues of the power system. SSA mimics salps behavior while navigating and foraging in oceans. To confirm the usefulness of proposed SSA, an unequal four-area interlinked power system model are taken for the performance analysis of LFC. SSA is used to find the best optimal setting of proportional-integral-derivative (PID) controller's parameters of multi-area power system according to the minimization of adopted objective function. Further, the superiority of SSA technique in designing PID controller is established by comparing the transient response of concerned power system model with those obtained by water cycle algorithm and other optimization control techniques available in recently published literature. The results obtain reveals that the proposed SSA based PID controller delivers better performance than others.