scholarly journals Maximum Wind Power Tracking of Doubly Fed Wind Turbine System Based on Adaptive Gain Second-Order Sliding Mode

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Hongchang Sun ◽  
Yaozhen Han ◽  
Lvyuan Zhang
Keyword(s):  
Wind Turbine ◽  
Upper Bound ◽  
Reactive Power ◽  
Sliding Mode ◽  
Second Order ◽  
Electromagnetic Torque ◽  
Wind Turbine System ◽  
Control Scheme ◽  
Doubly Fed ◽  
Second Order Sliding Mode

This paper proposes an adaptive gain second-order sliding mode control strategy to track optimal electromagnetic torque and regulate reactive power of doubly fed wind turbine system. Firstly, wind turbine aerodynamic characteristics and doubly fed induction generator (DFIG) modeling are presented. Then, electromagnetic torque error and reactive power error are chosen as sliding variables, and fixed gain super-twisting sliding mode control scheme is designed. Considering that uncertainty upper bound is unknown and is hard to be estimated in actual doubly fed wind turbine system, a gain scheduled law is proposed to compel control parameters variation according to uncertainty upper bound real-time. Adaptive gain second-order sliding mode rotor voltage control method is constructed in detail and finite time stability of doubly fed wind turbine control system is strictly proved. The superiority and robustness of the proposed control scheme are finally evaluated on a 1.5 MW DFIG wind turbine system.

scholarly journals Using Adaptive Second Order Sliding Mode to Improve Power Control of a Counter-Rotating Wind Turbine under Grid Disturbances

2020 ◽  
Vol 22 (6) ◽  
pp. 427-434
Author(s):  
Adil Yahdou ◽  
Abdelkadir Belhadj Djilali ◽  
Zinelaabidine Boudjema ◽  
Fayçal Mehedi
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Control Method ◽  
Sliding Mode ◽  
Second Order ◽  
Control Scheme ◽  
Doubly Fed ◽  
Twisting Algorithm ◽  
Unbalanced Network ◽  
Second Order Sliding Mode

This work presents a new control strategy for counter-rotating wind turbine (CRWT) driven doubly-fed induction generator (DFIG) under grid disturbances, such as unbalanced network voltage scenarios. The proposed strategy based on the power control used dynamic gains second order sliding mode control (SOSMC). The power control of a DFIG by SOSMC widely based on the super-twisting (ST) algorithm with invariable parameters and sign functions. The proposed control method consists in using dynamic-parameters ST algorithm that ensures a better result than a conventional strategy. The proposed control scheme used 2 sliding surfaces such as reactive and active powers to control them. Also, the sign functions are replaced by saturation (sat) functions in order to minimize the chattering problems. Simulation results depicted in this research article have confirmed the good usefulness and effectiveness of the proposed adaptive super-twisting algorithm of the CRWT system during grid disturbances.

scholarly journals Higher Control Scheme Using Neural Second Order Sliding Mode and ANFIS-SVM strategy for a DFIG-Based Wind Turbine

2019 ◽  
Vol 8 (2) ◽  
pp. 17
Author(s):  
Habib Benbouhenni ◽  
Zinelaabidine Boudjema ◽  
Abdelkader Belaidi
Keyword(s):  
Wind Turbine ◽  
Fuzzy Inference ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Harmonic Distortion ◽  
Second Order ◽  
Inference System ◽  
Wind Turbine System ◽  
Control Scheme ◽  
Second Order Sliding Mode

In this paper, we propose an advanced control scheme using neural second order sliding mode (NSOSMC) and adaptive neuro-fuzzy inference system space vector modulation (ANFIS-SVM) strategy for a doubly fed induction generator (DFIG) integrated into a wind turbine system (WTS). The used hybrid control system composed of artificial intelligence techniques and second-order sliding mode applied to ensure better powers performances provided by the WTS. The obtained simulation results showed that the proposed control structure has active and reactive powers with low ripples and low stator current harmonic distortion.

scholarly journals A comparison study between fuzzy PWM and SVM inverter in NSMC control of stator active and reactive power control of a DFIG based wind turbine systems

2019 ◽  
Vol 8 (1) ◽  
pp. 78
Author(s):  
Habib Benbouhenni
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Pulse Width Modulation ◽  
Reactive Power ◽  
Sliding Mode ◽  
Harmonic Distortion ◽  
Active Power ◽  
Wind Turbine System ◽  
Doubly Fed ◽  
Vector Modulation

In this work, we present a comparative study between space vector modulation (SVM) and fuzzy pulse width modulation (FPWM) technique in neuro-sliding mode control (NSMC) of stator reactive and stator active power control of the doubly fed induction generator (DFIG) for wind turbine system (WTS). Two controls approach using NSMC-SVM and NSMC-FPWM control scheme are proposed and compared. The validity of the proposed control techniques is verified by simulation tests of a DFIG. The reactive power, rotor current and stator active power is determined and compared in the above strategies. The obtained results showed that the proposed NSMC with FPWM strategy has stator reactive and active power with low powers ripples and low rotor current harmonic distortion than SVM technique.

scholarly journals Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3886 ◽  
Author(s):  
Han ◽  
Ma
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Upper Bound ◽  
Sliding Mode ◽  
Second Order ◽  
Direct Power ◽  
Direct Power Control ◽  
Grid Voltage ◽  
Unbalanced Grid ◽  
Second Order Sliding Mode

In a wind turbine system, a doubly-fed induction generator (DFIG), with nonlinear and high-dimensional dynamics, is generally subjected to unbalanced grid voltage and unknown uncertainty. This paper proposes a novel adaptive-gain second-order sliding mode direct power control (AGSOSM-DPC) strategy for a wind-turbine-driven DFIG, valid for both balanced and unbalanced grid voltage. The AGSOSM-DPC control scheme is presented in detail to restrain rotor voltage chattering and deal with the scenario of unknown uncertainty upper bound. Stator current harmonics and electromagnetic torque ripples can be simultaneously restrained without phase-locked loop (PLL) and phase sequence decomposition using new active power expression. Adaptive control gains are deduced based on the Lyapunov stability method. Comparative simulations under three DPC schemes are executed on a 2-MW DFIG under both balanced and unbalanced grid voltage. The proposed strategy achieved active and reactive power regulation under a two-phase stationary reference frame for both balanced and unbalanced grid voltage. An uncertainty upper bound is not needed in advance, and the sliding mode control chattering is greatly restrained. The simulation results verify the effectiveness, robustness, and superiority of the AGSOSM-DPC strategy.

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