MPPT using PSO technique comparing to fuzzy logic and P&O algorithms for wind energy conversion system

This paper proposes a new maximum power point tracking (MPPT) technique for wind turbine connection to a permanent magnet synchronous generator (PMSG), based on the particle swarm optimization (PSO) algorithm. The PSO technique aims to control the boost converter by calculating the duty cycle value based on the voltage and current values. The wind energy conversion system (WECS) consists of a wind turbine, a PMSG, rectifier and a DC/DC boost converter which is connected to a load. To demonstrate the performance of the proposed algorithm PSO, its simulation results are compared with the simulation results of fuzzy logic (FL) and perturbation and observation (PO) techniques under step wind variations, using MATLAB/Simulink. The simulation results show that the proposed PSO technique ensures a good tracking of the maximum power point as the results obtained are more stable and the oscillations are eliminated.