Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms

Abstract

This paper describes the modeling and control of a high-power wind energy conversion system (WECS) using a variable speed doubly fed induction generator (DFIG) with the application of an MPPT method to obtain the maximum power from the system. We applied metaheuristic algorithms such as particle swarm optimization algorithms (PSO), Harris hawk optimization (HHO), and salp swarm algorithm (SSA) to optimize the speed sensor. The simulation results indicated that the MPPT method with the proposed optimized sensor could generate optimum rotor speed to achieve maximum power output. The simulation was developed using Matlab/Simulink.

Keywords

• WECS-DFIG system
• control design
• metaheuristic algorithms (PSO, HHO and SSA algorithm)