A Novel Modified Fuzzy-Predictive Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

Abstract

A wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG) is an effective solution for renewable energy generation in modern power systems. The main advantages of PMSG include high performance at high and low speeds, minimal control effort owing to lower rotor inertia, self-excitation, high reliability, and simplicity of structure compared with induction generators. However, the intermittent nature of wind energy implies that maximum efficiency is not obtained from this system. Accordingly, maximum power point tracking (MPPT) in wind turbine systems has been proposed to address this problem. Traditional MPPT strategies suffer from severe output power fluctuations, low efficiency, and significant ripples in turbine rotation speed. This paper presents a novel MPPT control strategy based on fuzzy logic control (FLC) and model predictive control (MPC) to extract the maximum power from a PMSG-WECS and control the machine-side and grid-side converters. The simulation results obtained from Matlab/Simulink confirm the superiority of the control model in eliminating the output power fluctuations of the wind generators and accurately tracking the maximum power point. A comparative study between conventional MPPT and control methods is also conducted.