Modelling of a PMSG Wind Turbine with Autonomous Control

In recent years, the complexities of wind turbine control are raised while implementing grid codes in voltage sag conditions. In fact, wind turbines should stay connected to the grid and inject reactive power according to the new grid codes. Accordingly, this paper presents a new control algorithm based on super-twisting sliding mode for a gearless wind turbine by a permanent magnet synchronous generator (PMSG). The PMSG is connected to the grid via the back-to-back converter. In the proposed method, the machine side converter regulates the DC-link voltage. This strategy improves low-voltage ride through (LVRT) capability. In addition, the grid side inverter provides the maximum power point tracking (MPPT) control. It should be noted that the super-twisting sliding mode (STSM) control is implemented to effectively deal with nonlinear relationship between DC-link voltage and the input control signal. The main features of the designed controller are being chattering-free and its robustness against external disturbances such as grid fault conditions. Simulations are performed on the MATLAB/Simulink platform. This controller is compared with Proportional-Integral (PI) and the first-order sliding mode (FOSM) controllers to illustrate the DC-link voltage regulation capability in the normal and grid fault conditions. Then, to show the MPPT implementation of the proposed controller, wind speed is changed with time. The simulation results show designed STSM controller better performance and robustness under different conditions.

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“…Considering (4) and (5) and replacing the optimal value ofand the wind turbine mechanical torque can be given as a function of , as follows:…”

Section: D-axis Controller Designmentioning

confidence: 99%

“…Among different types of wind turbines, doubly fed induction generators (DFIGs) and permanent magnet synchronous generators (PMSGs) are of attractive types in wind farms [5]. Due to advantages, developments in semiconductor switching devices and high-reliability and efficiency, the use of PMSG is growing.…”

Section: Introductionmentioning

confidence: 99%

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

2019

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“…The dynamics of the offshore network integration can be written in synchronous coordinates d-q as follows [12]:…”

Section: Modeling and Control Of The Wind Turbinementioning

confidence: 99%

Optimal Regulators Conception for Wind Turbine PMSG Generator Using Hooke Jeeves Method

Mazouz

Zidi

Hafaifa

et al. 2019

Period. Polytech. Elec. Eng. Comp. Sci.

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This paper explores the optimization of wind turbine control system parameters. The wind turbine based on 5 MW PMSG Permanent magnet synchronous generator with two back-to-back converters which are connected to AC offshore network. For good functioning of the control system based on PI regulators, it is necessary to find a perfect way for calculating the gains of these regulators. In this paper, Hooke Jeeves method is presented as one of optimization solutions that can compute parameters of PI regulators. For this purpose, a model of offshore wind turbine is installed in PSCAD/EMTD in order to perform simulation study in which optimal PI regulators design can be found.

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“…Linear controllers [8][9][10][11][12][13][14] have been studied and implemented. But the reduced range of operating points and poor robustness of these controllers with respect to machine uncertainties are their main limitations.…”

Section: Introductionmentioning

confidence: 99%

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

Douanla

Kenné

Pelap

et al. 2018

Journal of Control Science and Engineering

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A modified control scheme based on the combination of online trained neural network and sliding mode techniques is proposed to enhance maximum power extraction for a grid connected permanent magnet synchronous generator (PMSG) wind turbine system. The proposed control method does not need the knowledge of the uncertainty bounds nor the exact model of the nonlinear system. Since the neural network is trained online, the time to estimate good weights can affect the dynamic performance of the process during the startup phase. Therefore an appropriate way to smoothly and explicitly accelerate the neural network rate of convergence during the startup phase is proposed. Furthermore, a flexible grid side voltage source converter control structure which can handle both grid connected and standalone modes based on conventional proportional integral (PI) control method is presented. Simulations are done in Matlab/Simulink environment to verify the effectiveness and assess the performance of the proposed controller. The results analysis shows the superiority of the proposed RBF neuro-sliding mode controller compared to a nonlinear controller based on sliding mode control method when the system undergoes parameter uncertainties.

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Modelling of a PMSG Wind Turbine with Autonomous Control

Cited by 37 publications

References 17 publications

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

Optimal Regulators Conception for Wind Turbine PMSG Generator Using Hooke Jeeves Method

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

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