This paper presents a study of modelling and control of doubly fed induction generator for use on... more This paper presents a study of modelling and control of doubly fed induction generator for use on wind power system, the object is controlling and keeping decoupling between active and reactive power of DFIG, through to applied the DTC control at the torque and flux loop in order to achieve a better quality of energy and to make the system insensitive to disturbances
The object of this work is designing a robust controller based on sliding mode technique of DFIG ... more The object of this work is designing a robust controller based on sliding mode technique of DFIG for using in wind turbine system. The conventional control of DFIG, such as vector control is very sensitive when the electrical and mechanical parameter are changed, to solve the problem of the vector control, the theory of sliding mode control is presented in brief, then it applied to the control of active and reactive power of DFIG. The simulation results prove that the implementation of the sliding mode controllers for active and reactive powerloops leads to good dynamic performance even with large electrical parameters change.
This paper present the modeling and robust control nonlinear of active and reactive power by the ... more This paper present the modeling and robust control nonlinear of active and reactive power by the use the technique sliding mode and backstepping a Double-Fed Induction Generator (DFIG) integrated into a wind energy system, The power transfer between the stator and the network is carried out by acting on the rotor via a bidirectional signal converter. The techniquesof control (Sliding Mode) finds its strongest justification to the problem of use of a robust non-linear control law for the model uncertainties. The objective is to apply this controls to command independently the active and the reactive power generated by the asynchronous machine which is decoupled by the orientation of the flux. Simulations results are compared and discussed for control (SMC, backstepping control) based on DFIG combine with wind system, and robustness of controls are tested by parametric variations of the DFIG.
In this study, investigates a strategy to extract the maximum mechanical energy strategy used MPP... more In this study, investigates a strategy to extract the maximum mechanical energy strategy used MPPT based on the fuzzy logic controller was developed, furthermore, the Pitch fuzzy controller adjusts the blades pitch angles in order to increase or decrease the power coefficient and keeps the power at its desired value, the maximum energy can be captured from the wind that can be generated from a wind turbine at a particular a variable speed wind turbine with variable pitch angle control to enable protection of the wind energy conversion system from mechanical damages is also presented. The generator used is a doubly fed induction generator (DFIG). The simulation of the integration of the system and Maximum Power Tracking and variable pitch angle is performed using Matlab/Simulink software and results are successfully presented.
2019 1st Global Power, Energy and Communication Conference (GPECOM), 2019
This paper presents the robust control H-infinity (H∞) of active power and reactive power of doub... more This paper presents the robust control H-infinity (H∞) of active power and reactive power of doubly fed induction generator (DFIG) for used on wind energy system. The study consists in presenting in brief the DFIG model and the main tools of H∞ theory for designing a robust controller of active and reactive power, which achieved a satisfying robustness in dynamic performances, then it is applied to the control of DFIG. The simulation results prove that the application of H∞ controller for active power and reactive power, given the high robustness in dynamic performance. however, the electrical and mechanical parameters uncertainty is large.
The current study proposed a robust sensor-less sliding mode second-order based on a super twisti... more The current study proposed a robust sensor-less sliding mode second-order based on a super twisting algorithm (STA-SMSO) approach using a new observer Model Reference Adaptive System-Adaptative Neuro-Fuzzy Inference System (MRAS-ANFIS). This model was applied to a doubly fed induction generator (DFIG) wind turbine running under variable wind speed and DFIG fed with a power voltage source without a speed sensor, while the control objective was used to regulate independently, the active and reactive power DFIG stator were decoupled by using the field-oriented control technique. Additionally, this process reduced the cost of the control scheme and the size of DFIG by eliminating the speed sensor (encoder). In order to improve the traditional MRAS, the MRAS-ANFIS observer was proposed to replace the usual PI controller in the adaptation mechanism of MRAS with an Adaptative Neuro-Fuzzy Inference System (ANFIS) controller. The estimation of rotor position was tested and discussed under va...
Algerian Journal of Renewable Energy and Sustainable Development
This study proposes the robust sensor-less advanced frequency control (robust H∞ control) of the ... more This study proposes the robust sensor-less advanced frequency control (robust H∞ control) of the system of wind turbine based on a doubly fed induction generator (DFIG), the power exchange between the machine stator and the network is achieved by applying the rotor of DFIG via a bidirectional converter. The purpose of the control is to regulate the stator active and reactive power produced by the DFIG using a robust H∞ controller. The Model reference and adaptive system (MRAS-Observer) uses the error between the actual and estimated values (voltage/current) to construct the observed mechanical parameters (speed and position) value, this technique uses two separate models: the first is the reference model, the second is the adjustable mode. The error between these models is used by the adaptive mechanism. The adjustment mechanism is mostly a PI controller, to improve the performance and robustness of the classical MRAS observer, we replace the classical PI controller with a robust ...
2020 6th International Symposium on New and Renewable Energy (SIENR), 2021
This paper deals with the modeling and control of the wind turbine based on doubly fed induction ... more This paper deals with the modeling and control of the wind turbine based on doubly fed induction generator (dfig) via maximum power point tracking (MPPT) strategy to extract the maximum mechanical energy from the wind. In this work, the method of MPPT is elaborated and compared without wind speed measurement and with the speed of wind measurement by using tow deferents controllers PI and sliding mode. Simulations are carried out the comparison between MPPT sliding mode controller and MPPT PI controller and without wind speed measurement method, results simulation are shown that the control performance of MPPT sliding mode is superior.
In this paper we present a nonlinear control using super twisting high order sliding mode for a v... more In this paper we present a nonlinear control using super twisting high order sliding mode for a vertical axis wind turbine (VAWT) with direct attack based on doubly-fed induction generator (DFIG) supplied by an AC-AC converter. In the first place, we carried out briefly a study of modeling on the whole system (H-darrieus wind turbine). In order to control the power flowing between the stator of the DFIG and the grid, a proposed control design uses high order sliding mode technique is applied for implementing to remove completely the chattering phenomenon on a conventional sliding mode control. The use of this method provides very satisfactory performance for the DFIG control, and the chattering effect is also reduced by this technique. The machine is tested in association with a wind turbine. Simulations results are presented and discussed for the whole system.
This paper presents a study of modelling and control of doubly fed induction generator for use on... more This paper presents a study of modelling and control of doubly fed induction generator for use on wind power system, the object is controlling and keeping decoupling between active and reactive power of DFIG, through to applied the DTC control at the torque and flux loop in order to achieve a better quality of energy and to make the system insensitive to disturbances
The object of this work is designing a robust controller based on sliding mode technique of DFIG ... more The object of this work is designing a robust controller based on sliding mode technique of DFIG for using in wind turbine system. The conventional control of DFIG, such as vector control is very sensitive when the electrical and mechanical parameter are changed, to solve the problem of the vector control, the theory of sliding mode control is presented in brief, then it applied to the control of active and reactive power of DFIG. The simulation results prove that the implementation of the sliding mode controllers for active and reactive powerloops leads to good dynamic performance even with large electrical parameters change.
This paper present the modeling and robust control nonlinear of active and reactive power by the ... more This paper present the modeling and robust control nonlinear of active and reactive power by the use the technique sliding mode and backstepping a Double-Fed Induction Generator (DFIG) integrated into a wind energy system, The power transfer between the stator and the network is carried out by acting on the rotor via a bidirectional signal converter. The techniquesof control (Sliding Mode) finds its strongest justification to the problem of use of a robust non-linear control law for the model uncertainties. The objective is to apply this controls to command independently the active and the reactive power generated by the asynchronous machine which is decoupled by the orientation of the flux. Simulations results are compared and discussed for control (SMC, backstepping control) based on DFIG combine with wind system, and robustness of controls are tested by parametric variations of the DFIG.
In this study, investigates a strategy to extract the maximum mechanical energy strategy used MPP... more In this study, investigates a strategy to extract the maximum mechanical energy strategy used MPPT based on the fuzzy logic controller was developed, furthermore, the Pitch fuzzy controller adjusts the blades pitch angles in order to increase or decrease the power coefficient and keeps the power at its desired value, the maximum energy can be captured from the wind that can be generated from a wind turbine at a particular a variable speed wind turbine with variable pitch angle control to enable protection of the wind energy conversion system from mechanical damages is also presented. The generator used is a doubly fed induction generator (DFIG). The simulation of the integration of the system and Maximum Power Tracking and variable pitch angle is performed using Matlab/Simulink software and results are successfully presented.
2019 1st Global Power, Energy and Communication Conference (GPECOM), 2019
This paper presents the robust control H-infinity (H∞) of active power and reactive power of doub... more This paper presents the robust control H-infinity (H∞) of active power and reactive power of doubly fed induction generator (DFIG) for used on wind energy system. The study consists in presenting in brief the DFIG model and the main tools of H∞ theory for designing a robust controller of active and reactive power, which achieved a satisfying robustness in dynamic performances, then it is applied to the control of DFIG. The simulation results prove that the application of H∞ controller for active power and reactive power, given the high robustness in dynamic performance. however, the electrical and mechanical parameters uncertainty is large.
The current study proposed a robust sensor-less sliding mode second-order based on a super twisti... more The current study proposed a robust sensor-less sliding mode second-order based on a super twisting algorithm (STA-SMSO) approach using a new observer Model Reference Adaptive System-Adaptative Neuro-Fuzzy Inference System (MRAS-ANFIS). This model was applied to a doubly fed induction generator (DFIG) wind turbine running under variable wind speed and DFIG fed with a power voltage source without a speed sensor, while the control objective was used to regulate independently, the active and reactive power DFIG stator were decoupled by using the field-oriented control technique. Additionally, this process reduced the cost of the control scheme and the size of DFIG by eliminating the speed sensor (encoder). In order to improve the traditional MRAS, the MRAS-ANFIS observer was proposed to replace the usual PI controller in the adaptation mechanism of MRAS with an Adaptative Neuro-Fuzzy Inference System (ANFIS) controller. The estimation of rotor position was tested and discussed under va...
Algerian Journal of Renewable Energy and Sustainable Development
This study proposes the robust sensor-less advanced frequency control (robust H∞ control) of the ... more This study proposes the robust sensor-less advanced frequency control (robust H∞ control) of the system of wind turbine based on a doubly fed induction generator (DFIG), the power exchange between the machine stator and the network is achieved by applying the rotor of DFIG via a bidirectional converter. The purpose of the control is to regulate the stator active and reactive power produced by the DFIG using a robust H∞ controller. The Model reference and adaptive system (MRAS-Observer) uses the error between the actual and estimated values (voltage/current) to construct the observed mechanical parameters (speed and position) value, this technique uses two separate models: the first is the reference model, the second is the adjustable mode. The error between these models is used by the adaptive mechanism. The adjustment mechanism is mostly a PI controller, to improve the performance and robustness of the classical MRAS observer, we replace the classical PI controller with a robust ...
2020 6th International Symposium on New and Renewable Energy (SIENR), 2021
This paper deals with the modeling and control of the wind turbine based on doubly fed induction ... more This paper deals with the modeling and control of the wind turbine based on doubly fed induction generator (dfig) via maximum power point tracking (MPPT) strategy to extract the maximum mechanical energy from the wind. In this work, the method of MPPT is elaborated and compared without wind speed measurement and with the speed of wind measurement by using tow deferents controllers PI and sliding mode. Simulations are carried out the comparison between MPPT sliding mode controller and MPPT PI controller and without wind speed measurement method, results simulation are shown that the control performance of MPPT sliding mode is superior.
In this paper we present a nonlinear control using super twisting high order sliding mode for a v... more In this paper we present a nonlinear control using super twisting high order sliding mode for a vertical axis wind turbine (VAWT) with direct attack based on doubly-fed induction generator (DFIG) supplied by an AC-AC converter. In the first place, we carried out briefly a study of modeling on the whole system (H-darrieus wind turbine). In order to control the power flowing between the stator of the DFIG and the grid, a proposed control design uses high order sliding mode technique is applied for implementing to remove completely the chattering phenomenon on a conventional sliding mode control. The use of this method provides very satisfactory performance for the DFIG control, and the chattering effect is also reduced by this technique. The machine is tested in association with a wind turbine. Simulations results are presented and discussed for the whole system.
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