Simplified Super Twisting Sliding Mode Approaches of the Double-Powered Induction Generator-Based Multi-Rotor Wind Turbine System

This work proposes a new indirect filed-oriented control (IFOC) scheme for double-powered induction generators (DPIGs) in multi-rotor wind turbine systems (MRWTS). The IFOC strategy is characterized by its simplicity, ease of use, and fast dynamic speed. However, there are drawbacks to this method. Among its disadvantages is the presence of ripples in the level of torque, active power, and current. In addition, the total harmonic distortion (THD) value of the electric current is higher compared to the direct torque control method. In order to overcome these shortcomings and in terms of improving the effectiveness and performance of this method, a new algorithm is proposed for the super twisting algorithm (STA). In this work, a new STA method called simplified STA (SSTA) algorithm is proposed and applied to the traditional IFOC strategy in order to reduce the ripples of torque, current, and active power. On the other hand, the inverter of the DPIG is controlled by using a five-level fuzzy simplified space vector modulation (FSSVM) technique to obtain a signal at the inverter output of a fixed frequency. The results obtained from this proposed IFOC-SSTA method with FSSVM strategy are compared with the classical IFOC method which uses the classical controller based on a proportional-integral (PI) controller. The proposed method is achieved using the Matlab/Simulink software, where a generator with a large capacity of 1.5 megawatts is used. The generator is placed in a multi-rotor electric power generation system. On the other hand, the two methods are compared in terms of ripple ratio, dynamic response, durability, and total harmonic distortion (THD) value of the electric current. Through the results obtained from this work, the proposed method based on SSTA provided better results in terms of ripple ratio, response dynamic, and even THD value compared to the classical method, and this shows the robustness of the proposed method in improving the performance and efficiency of the generator in the multi-rotor wind system.

[1]  Larbi Djilali,et al.  Neural High Order Sliding Mode Control for Doubly Fed Induction Generator based Wind Turbines , 2022, IEEE Latin America Transactions.

[2]  L. Barazane,et al.  Improved Backstepping Control of a DFIG based Wind Energy Conversion System using Ant Lion Optimizer Algorithm , 2021, Period. Polytech. Electr. Eng. Comput. Sci..

[3]  Aziz Derouich,et al.  Integral sliding mode control for DFIG based WECS with MPPT based on artificial neural network under a real wind profile , 2021 .

[4]  N. Bizon,et al.  Advanced Direct Vector Control Method for Optimizing the Operation of a Double-Powered Induction Generator-Based Dual-Rotor Wind Turbine System , 2021, Mathematics.

[5]  N. Bizon,et al.  Improved Rotor Flux and Torque Control Based on the Third-Order Sliding Mode Scheme Applied to the Asynchronous Generator for the Single-Rotor Wind Turbine , 2021, Mathematics.

[6]  Nicu Bizon,et al.  Terminal Synergetic Control for Direct Active and Reactive Powers in Asynchronous Generator-Based Dual-Rotor Wind Power Systems , 2021, Electronics.

[7]  Nicu Bizon,et al.  A Synergetic Sliding Mode Controller Applied to Direct Field-Oriented Control of Induction Generator-Based Variable Speed Dual-Rotor Wind Turbines , 2021, Energies.

[8]  B. Francois,et al.  Experimental investigation of efficient and simple wind-turbine based on DFIG-direct power control using LCL-filter for stand-alone mode. , 2021, ISA transactions.

[9]  Ze Zhu,et al.  Integral Sliding Mode Control for Maximum Power Point Tracking in DFIG Based Floating Offshore Wind Turbine and Power to Gas , 2021 .

[10]  Laith M. Halabi,et al.  Multi Open-/Short-Circuit Fault-Tolerance Using Modified SVM Technique for Three-Level HANPC Converters , 2021, IEEE Transactions on Power Electronics.

[11]  Tijani Lamhamdi,et al.  Improvement of Power Quality Injected into the Grid by Using a FOSMC-DPC for Doubly Fed Induction Generator , 2021 .

[12]  Mohamed Nabil Fathy Ibrahim,et al.  An Enhanced DC-Link Voltage Response for Wind-Driven Doubly Fed Induction Generator Using Adaptive Fuzzy Extended State Observer and Sliding Mode Control , 2021, Mathematics.

[13]  Habib Benbouhenni,et al.  Direct Power Control With NSTSM Algorithm for DFIG Using SVPWM Technique , 2021 .

[14]  H. Benbouhenni.  Application of STA Methods and Modified SVM Strategy in Direct Vector Control System of ASG Integrated to Dual-Rotor Wind Power: Simulation Studies , 2021, International Journal of Smart grid.

[15]  Gianluca Brando,et al.  Performance Analysis of a Full Order Sensorless Control Adaptive Observer for Doubly-Fed Induction Generator in Grid Connected Operation , 2021, Energies.

[16]  Zinelaabidine Boudjema,et al.  Improved Vector Control of a Counter-Rotating Wind Turbine System Using Adaptive Backstepping Sliding Mode , 2020, Journal Européen des Systèmes Automatisés.

[17]  Hegazy Rezk,et al.  Modeling and Performance Improvement of Direct Power Control of Doubly-Fed Induction Generator Based Wind Turbine through Second-Order Sliding Mode Control Approach , 2020, Mathematics.

[18]  M. A. Abido,et al.  Real Time-Based under Frequency Control and Energy Management of Microgrids , 2020, Electronics.

[19]  Habib Benbouhenni,et al.  Utilization of an ANFIS-STSM Algorithm to Minimize Total Harmonic Distortion , 2020, International Journal of Smart grid.

[20]  Ali M. Eltamaly,et al.  Sensorless Active and Reactive Control for DFIG Wind Turbines Using Opposition-Based Learning Technique , 2020, Sustainability.

[21]  Abdelaziz El Ghzizal,et al.  Direct torque control of doubly fed induction motor using three-level NPC inverter , 2019, Protection and Control of Modern Power Systems.

[22]  Yaozhen Han,et al.  Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage , 2019, Energies.

[23]  Montaser Abd El Sattar,et al.  Dynamic Performance and Effectiveness of Voltage Disturbances on the Improvement of Power Quality for Grid-Connected DFIG System Based Wind Farm , 2019 .

[24]  P. Wira,et al.  Super-twisting Sliding Mode Control of a Doubly-fed Induction Generator Based on the SVM Strategy , 2019, Period. Polytech. Electr. Eng. Comput. Sci..

[25]  Lijun Hang,et al.  Multi-Resonant-Based Sliding Mode Control of DFIG-Based Wind System under Unbalanced and Harmonic Network Conditions , 2019, Applied Sciences.

[26]  E. Erturk,et al.  Analysis Model of a Small Scale Counter-Rotating Dual Rotor Wind Turbine with Double Rotational Generator Armature , 2018, International Journal of Renewable Energy Research.

[27]  Abdelkader Belaidi,et al.  Neuro-Second Order Sliding Mode Control of a DFIG Supplied by a Two-Level NSVM Inverter for Wind Turbine System , 2018 .

[28]  Alex Van den Bossche,et al.  Feasibility Study of Wind Farm Grid-Connected Project in Algeria under Grid Fault Conditions Using D-Facts Devices , 2018, Applied Sciences.

[29]  Jean Mbihi,et al.  Review of a Multipurpose Duty-Cycle Modulation Technology in Electrical and Electronics Engineering , 2018 .

[30]  FAYSSAL AMRANE,et al.  A NOVEL DIRECT POWER CONTROL FOR GRID - CONNECTED DOUBLY FED INDUCTION GENERATOR BASED ON HYBRID ARTI FICIAL INTELLIGENT C ONTROL WITH SPACE VECTOR MO DULATION , 2018 .

[31]  Bilal Akin,et al.  A New LMS Algorithm Based Deadtime Compensation Method for PMSM FOC Drives , 2018, IEEE Transactions on Industry Applications.

[32]  Václav Šmídl,et al.  Adaptive Speed Control of Induction Motor Drive With Inaccurate Model , 2018, IEEE Transactions on Industrial Electronics.

[33]  Alexandros D. Alexandrou,et al.  Development of a Constant Switching Frequency Deadbeat Predictive Control Technique for Field-Oriented Synchronous Permanent-Magnet Motor Drive , 2016, IEEE Transactions on Industrial Electronics.

[34]  Marcin Wolkiewicz,et al.  Online Stator Interturn Short Circuits Monitoring in the DFOC Induction-Motor Drive , 2016, IEEE Transactions on Industrial Electronics.

[35]  Paul Puleston,et al.  Active and Reactive Power Control for Wind Turbine Based on a MIMO 2-Sliding Mode Algorithm With Variable Gains , 2013, IEEE Transactions on Energy Conversion.

[36]  T. Fukami,et al.  Steady-State Analysis of a Dual-Winding Reluctance Generator With a Multiple-Barrier Rotor , 2008, IEEE Transactions on Energy Conversion.

[37]  Amelioration Effectiveness of Torque and Rotor Flux Control Applied to the Asynchronous Generator for Dual-rotor Wind Turbine using Neural Third-order Sliding Mode Approaches , 2022, International Journal of Engineering.

[38]  H. Benbouhenni,et al.  Combining synergetic control and super twisting algorithm to reduce the active power undulations of doubly fed induction generator for dual-rotor wind turbine system , 2021 .

[39]  Jordi-Roger Riba,et al.  PMSM Parameter Estimation for Sensorless FOC Based on Differential Power Factor , 2021, IEEE Transactions on Instrumentation and Measurement.

[40]  Adil Yahdou,et al.  SECOND ORDER SLIDING MODE CONTROL OF A DUAL-ROTOR WIND TURBINE SYSTEM BY EMPLOYING A MATRIX CONVERTER , 2020 .

[41]  W. Ayrir,et al.  Direct torque control improvement of a variable speed DFIG based on a fuzzy inference system , 2020, Math. Comput. Simul..

[42]  Abdelkader Belaidi,et al.  Indirect Vector Control of a DFIG Supplied by a Two-level FSVM Inverter for Wind Turbine System , 2019 .

[43]  Rachid Taleb,et al.  A novel direct torque control using second order continuous sliding mode of a doubly fed induction generator for a wind energy conversion system , 2017, Turkish J. Electr. Eng. Comput. Sci..

[44]  K. Boulaam,et al.  OUTPUT POWER CONTROL OF A VARIABLE WIND ENERGY CONVERSION SYSTEM , 2017 .

[45]  Saad Mekhilef,et al.  Design and implementation of high performance field oriented control for grid-connected doubly fed induction generator via hysteresis rotor current controller , 2016 .