Ocean Wave Energy Control Using Aquila Optimization Technique

This paper presents ocean wave energy control using the Aquila optimization (AO) technique. An oscillating water column (OWC)-type converter has been considered that is fitted with a Wells turbine and doubly fed induction generator (DFIG). To achieve maximum power point tracking (MPPT), rotor speed of DFIG must be controlled as per MPPT law. The law designed in such way flow coefficient remains within threshold limit. It avoids from stalling which generates power. provides reference followed by actual speed. For this, backstepping controller (BSC)-based rotational strategy Lyapunov stability theory. BSC unknown parameters should selected errors are minimum. Hence, objective this work to find an approach. approach selecting for OWC plant not explored yet. integral square error (ISE)-type fitness function defined minimized AO results achieved technique have compared particle swarm (PSO) genetic algorithm (GA), validating its superior performance. peak overshoot least AO-BSC PSO-BSC GA-BSC. value comes out among all methods applied. However, tested provide satisfactory terms coefficient, output paves future research on control.