Power Extraction Based on Particle Swarm Optimization For Wind Energy Conversion System

Abstract

The use of wind energy as an electric energy generator is increasing to overcome the limitations of conventional energy and reduce the greenhouse-effect pollution. Indonesia has considerable potential for wind energy but wind energy is very dependent on fluctuating wind speeds. To improve the efficiency of a wind energy conversion system (WECS), at each wind speed, the WECS must be able to extract the maximum power so that a controller is needed. This paper presents the Particle Swarm Optimization (PSO) algorithm to extract the maximum power on the Permanent Magnet Synchronous Generator (PMSG) standalone wind turbine system through controlling the duty cycle of the buck converter. Based on the simulation result, the PSO algorithm can follow rapid wind speed changes and extracted maximum power at each wind speed. In addition, the PSO algorithm can maintain the power conversion coefficient at the optimal value for rapid wind speed changes. Compared by WECS without power extraction, the PSO algorithm has better performance and bigger output power.