scholarly journals Maximum power tracking control wind turbine based on permanent magnet synchronous generator with complete converter

2014 ◽  
Vol 3 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Soumia EL HANI ◽  
Said GUEDIRA ◽  
Noureddine EL ALAMI
2017 ◽  
Vol 20 (K3) ◽  
pp. 100-105
Author(s):  
Minh Quang Huynh ◽  
Liem Van Nguyen

Wind power is more and more developed as a renewable energy source. It is very essential to extract the maximum available power from the wind by operating the wind turbine at its optimal operating condition, called maximum power point tracking (MPPT). Perturb & Observe (P&O) is the simplest and mostly used algorithm for this purpose. However, this algorithm has its own disadvantages such as oscillation at maximum power point and wrong directionality under fast variation wind speed. Lots of publications are presented to solve these problems. In this paper, a conventional P&O algorithm, a modified MPPT algorithm and a fuzzy MPPT algorithm for variable speed wind turbine using permanent magnet synchronous generator (PMSG) are tested and compared in the terms of complexity, speed responses and the ability to acquire the maximal energy output.


2015 ◽  
Vol 43 ◽  
pp. 89-100
Author(s):  
Shafiul Hasan Rafi ◽  
Rusnot Ara Ferdous ◽  
M.R.I. Sheikh

This paper proposes an optimized model and control strategy for variable speed wind turbine using permanent magnet synchronous generator (PMSG). Models and equations that describe different components of the wind energy conversion system (WECS) are addressed and their implementations into PSCAD/EMTDC are described. There are different types of synchronous generators, but the PMSG is chosen. It offers better performance due to higher efficiency and less maintenance since it does not need external DC source and can be used without a gearbox, which also implies a reduction of the weight of the nacelle and a reduction of costs. For the better performance, in this model two level IGBT converter and three level IGBT inverter set has been used associated with the maximum power point tracking (MPPT) system.Simulation results show that the controllers can extract maximum power and regulate the voltage and frequency under varying wind and load conditions. The controller shows very good dynamic, steady state and transient performance.


Author(s):  
Meriem Otmane Rachedi ◽  
Mohammed Larbi Saidi ◽  
Fayçel Arbaoui

Variable speed wind turbine systems (VSWT’s) have been in receipt of extensive attention among the various renewable energy systems. The present paper focuses on fuzzy fractional order proportional-integral (FFOPI) control segment for variable speed wind turbine (VSWT) directly driving permanent magnet synchronous generator (PMSG). The main objective of this study is to reach maximum power point tracking (MPPT) through combination of advanced control based on FFOPI control applied to generator side converter (turbine and PMSG). The basic idea of the FFOPI controller is to implement a fuzzy logic controller (FLC) in cascade with Fractional Order Proportional Integral controller (FOPI). A comparative study with FOPI and classical PI control schemes is made. The traditional PI controller cannot deliver a sufficiently great performance for the VSWT. However, the results found that the proposed approach (FFOPI) is more effective and feasible for controlling the permanent magnet synchronous generator to mantain maximum power extraction. The validation of results has been performed through simulation using Matlab/Simulink®.


Inventions ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 3
Author(s):  
Wenping Cao ◽  
Ning Xing ◽  
Yan Wen ◽  
Xiangping Chen ◽  
Dong Wang

Wind energy conversion systems have become a key technology to harvest wind energy worldwide. In permanent magnet synchronous generator-based wind turbine systems, the rotor position is needed for variable speed control and it uses an encoder or a speed sensor. However, these sensors lead to some obstacles, such as additional weight and cost, increased noise, complexity and reliability issues. For these reasons, the development of new sensorless control methods has become critically important for wind turbine generators. This paper aims to develop a new sensorless and adaptive control method for a surface-mounted permanent magnet synchronous generator. The proposed method includes a new model reference adaptive system, which is used to estimate the rotor position and speed as an observer. Adaptive control is implemented in the pulse-width modulated current source converter. In the conventional model reference adaptive system, the proportional-integral controller is used in the adaptation mechanism. Moreover, the proportional-integral controller is generally tuned by the trial and error method, which is tedious and inaccurate. In contrast, the proposed method is based on model predictive control which eliminates the use of speed and position sensors and also improves the performance of model reference adaptive control systems. In this paper, the proposed predictive controller is modelled in MATLAB/SIMULINK and validated experimentally on a 6-kW wind turbine generator. Test results prove the effectiveness of the control strategy in terms of energy efficiency and dynamical adaptation to the wind turbine operational conditions. The experimental results also show that the control method has good dynamic response to parameter variations and external disturbances. Therefore, the developed technique will help increase the uptake of permanent magnet synchronous generators and model predictive control methods in the wind power industry.


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