scholarly journals Full- and Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1809 ◽  
Author(s):  
Christoph Hackl ◽  
Pol Jané-Soneira ◽  
Martin Pfeifer ◽  
Korbinian Schechner ◽  
Sören Hohmann
Keyword(s):  
Wind Turbine ◽  
Permanent Magnet ◽  
State Space ◽  
Synchronous Generator ◽  
Permanent Magnet Synchronous Generator ◽  
Reduced Order ◽  
Space Modeling ◽  
State Space Modeling ◽  
Order State

scholarly journals Full- & Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator

2018 ◽  
Author(s):  
Christoph Michael Hackl ◽  
Pol Jane-Soneira ◽  
Martin Pfeifer ◽  
Korbinian Schechner ◽  
Sören Hohmann
Keyword(s):  
Wind Turbine ◽  
Permanent Magnet ◽  
State Space ◽  
Power Output ◽  
Synchronous Generator ◽  
State Space Models ◽  
Permanent Magnet Synchronous Generator ◽  
Reduced Order ◽  
Instantaneous Power ◽  
Order State

Full-order state-space models represent the starting point for the development of advanced control methods for wind turbine systems (WTSs). Regarding existing control-oriented WTS models, two research gaps must be noted: (i) There exists no full-order WTS model in form of one overall ordinary differential equation that considers all dynamical effects which significantly influence the electrical power output; (ii) all existing reduced-order WTS models are subject to rather arbitrary simplifications and are not validated against a full-order model. Therefore, in this paper, two full-order nonlinear state-space models (of 11th and 9th-order in the (a, b, c)- and (d, q)-reference frame, resp.) for variable-speed variable-pitch permanent magnet synchronous generator WTSs are derived. The full-order models cover all relevant dynamical effects with significant impact on the system’s power output, including the switching behavior of the power electronic devices. Based on the full-order models, by a step-by-step model reduction procedure, two reduced-order WTS models are deduced: A non-switching (averaging) 7th-order WTS model and a non-switching 3rd-order WTS model. Comparative simulation results reveal that all models capture the dominant system dynamics properly. The full-order models allow for a detailed analysis covering the high frequency oscillations in the instantaneous power output due to the switching in the power converters. The reduced-order models provide a time-averaged instantaneous power output (which still correctly reflects the energy produced by the WTS) and come with a drastically reduced complexity making those models appropriate for large-scale power grid controller design.

scholarly journals New Adaptive Control Strategy for a Wind Turbine Permanent Magnet Synchronous Generator (PMSG)

Inventions ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 3
Author(s):  
Wenping Cao ◽  
Ning Xing ◽  
Yan Wen ◽  
Xiangping Chen ◽  
Dong Wang
Keyword(s):  
Adaptive Control ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Control Method ◽  
Synchronous Generator ◽  
Permanent Magnet Synchronous Generator ◽  
Model Reference ◽  
Integral Controller ◽  
Proportional Integral Controller ◽  
Model Reference Adaptive

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.

scholarly journals Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

2021 ◽  
Vol 14 (1) ◽  
pp. 484-495
Author(s):  
Rania Moutchou ◽  
◽  
Ahmed Abbou ◽  
Salah Rhaili ◽  
◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Control Strategy ◽  
Sliding Mode ◽  
Synchronous Generator ◽  
Second Order ◽  
Permanent Magnet Synchronous Generator ◽  
Mode Control ◽  
Second Order Sliding Mode

This paper presents a modelling study and focuses on an advanced higher order slip mode control strategy (Super Twisting Algorithm) for a variable speed wind turbine based on a permanent magnet synchronous generator to capture the maximum possible wind power from the turbine while simultaneously reducing the effect of mechanical stress, powered by a voltage inverter and controlled by vector PWM technique. This paper presents first and second order sliding mode control schemes. On the other hand, a challenging matter of pure SMC of order one can be summed up in the produced chattering phenomenon. In this work, this issue has been mitigated by implementing a new control. The proposed control, characterized by a precision in the case of a continuation of a significant reduction of the interference phenomenon, successfully addresses the problems of essential non-linearity of wind turbine systems. This type of control strategy presents more advanced performances such as behaviour without chattering (no additional mechanical stress), excellent convergence time, robustness in relation to external disturbances (faults in the network) and to non-modelled dynamics (generator and turbine) which have been widely used in power system applications by first order sliding mode control. In particular, second-order sliding regime control algorithms will be applied to the PMSG to ensure excellent dynamic performance. The suggested control is compared to the proportional-integral controller and sliding mode control of order one. The results of simulations under turbulent wind speed and parameter variations show the efficiency, robustness and significantly improved performance of the proposed control approach to distinguish and track quickly (about 10ms depending on the shading pattern) and at the same time saving the main priorities of the sliding mode of order one by reducing the existing chatter. The systems performances were tested and compared using Matlab/Simulink Software.

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