Abstract
Variable speed wind turbines are commonly used as wind power generation systems because of their lower maintenance cost and flexible speed control. The optimum output power for a wind turbine can be extracted using maximum power point tracking (MPPT) strategies. However, unpredictable parameters, such as wind speed and air density could affect the accuracy of the MPPT methods, especially during the wind speed small oscillations. In this paper, in a permanent magnet synchronous generator (PMSG), the MPPT is implemented by determining the uncertainty of the unpredictable parameters using the extended Kalman filter (EKF). Also, the generator speed is controlled by employing a fuzzy logic control (FLC) system. This study aims at minimizing the effects of unpredictable parameters on the MPPT of the PMSG system. The simulation results represent an improvement in MPPT accuracy and output power efficiency.
Highlights
To keep the earth safe and deal with potential environmental threats, sustainable and pollution-free technologies have been introduced, known as renewable energy technologies (RETs)
Energy sources can be divided into three main categories: (i) fossil fuels, (ii) nuclear energy, and (iii) renewable energies [1]
In order to verify the wind proposed estimation implementation, schematically as Figure simulation was performed in a Matlab/Simulink environment
Summary
To keep the earth safe and deal with potential environmental threats, sustainable and pollution-free technologies have been introduced, known as renewable energy technologies (RETs). Energy sources can be divided into three main categories: (i) fossil fuels, (ii) nuclear energy, and (iii) renewable energies [1]. Renewable energy sources (RESs) refer to the types of energy that, unlike non-renewable energies, can be re-created or renewed by nature in a short period [2]. The leading types of renewable energies are solar [3,4], wind [5], geothermal [6,7], marine energy [8], biomass [9], and biofuels [10,11]. RESs can provide zero or almost zero percent pollution. RETs are reliable, cost-effective, and environmentally friendly methods to meet the energy requirements of rural areas on a small scale
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