MPPT using PSO Technique Comparing to Fuzzy Logic and P&O Algorithms for Wind Energy Conversion System

Abstract

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) includes a wind turbine, a PMSG, rectifier and a DC/DC boost converter that is connected to a load. To verify the performance of the suggested algorithm PSO, The results of the simulation are compared with those of fuzzy logic and (Perturb and Observe)P&O techniques, under step wind variations, using MATLAB/SIMULINK. The results of the simulation 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.