Optimal solutions of load frequency control problem using oppositional krill herd algorithm

An attempt has been made in this article for effective solution of load frequency control (LFC) problem in an interconnected power system using a meta-heuristic optimization technique, called oppositional krill herd algorithm (OKHA). Krill herd algorithm (KHA) is simply mimics the life cycle of krill in an oceans and designed based on the solution of herding behavior of individual krill. A two-area multi-unit all hydro power plants equipped with a classical integral controller is considered for design and analysis. The interconnected hydro-hydro power plant is inherently an unstable system due the non-minimum phase characteristic of hydro turbine. Thus to retrieve the stability, different frequency stabilizers like superconducting magnetic energy storage, thyristor controlled phase shifter, and static synchronous series compensator in coordination with LFC are intended using OKHA paying integral square error based fitness function. Time domain simulation results obtained with OKHA are compared with original KHA and some recently published optimization schemes for the similar test system. Additionally, the robustness of the designed controller is validated by investigating the dynamic responses of test system with random load perturbation. Simulation results confirmed that OKHA outperforms other optimization techniques in terms of solution quality and computational efficiency.