Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization

Zamzoum, Othmane; Mourabit, Youness El; Errouha, Mustapha; Derouich, Aziz; Ghzizal, Abdelaziz El

doi:10.1002/ese3.215

Cited by 47 publications

(28 citation statements)

References 44 publications

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“…It then comes to the decision phase of the appropriate command according to the inference rule functions. Finally, the defuzzification phase of the fuzzy quantities is set to provide the proper control variable . The fuzzy controller offers more efficient solutions than other conventional controllers.…”

Section: Methodsmentioning

confidence: 99%

“…The fuzzy logic structure includes a certain number of actions: the fuzzification of the input quantities that are defined as the error and its derivative, the choice of the appropriate decision according to the inference rules of the fuzzy controller and finally the defuzzification phase of the fuzzy output elements to provide adequate structure of the drive signals. The FLC input variables are selected as the signals that must vary with the outputs change …”

Section: Methodsmentioning

confidence: 99%

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Sustainable production of wind energy in the main Morocco's sites using permanent magnet synchronous generators

Mourabit¹,

Derouich²,

Allouhi³

et al. 2020

Int Trans Electr Energ Syst

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Summary This paper assesses the behavior of a wind energy conversion system (WECS) under the fuzzy control in several sites located in Morocco. The sites involved in this study are located in coastal areas, namely, Assila, Houceima, Tetouan, Dakhla, Essaouira, and Laayoun. Furthermore, the first part deals with an inventory and state of art of the wind potential, achievements, work in progress, and future projects in the Kingdom of Morocco. Subsequently, a statistical analysis of the wind data and concerning the wind speed and direction in relevant geographical areas was presented in detail. The second part of the paper examines the control of WECS which is based on the direct control of the permanent magnet synchronous generator. Generator connection to the power grid is achieved by two power converters in back‐to‐back configuration controlled by pulse width modulation. The whole system modeling including the generator modeling was discussed. The control development based on (Fuzzy‐proportional‐integral) corrector for the machine‐side converter and the maximization of the power extracted from the wind using the maximum power point tracking technique have been developed. The grid‐side converter ensures the system connection to the grid with good power quality and controls the DC bus voltage. The control strategy is verified through the simulation in the Matlab‐Simulink environment to validate and evaluate the dynamic performance of the system using real wind measurements for the selected sites. The obtained results prove the effectiveness of the intended control. Interestingly, the southern zone of Morocco is more convenient for the exploitation of electricity production compared to the northern zone of the country which it can be beneficial for autonomous applications.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Sustainable production of wind energy in the main Morocco's sites using permanent magnet synchronous generators

Mourabit¹,

Derouich²,

Allouhi³

et al. 2020

Int Trans Electr Energ Syst

Self Cite

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“…Wind power (P wind ) can be expressed as follows. 24 T A B L E 1 Adaptive control in renewable wind energy systems…”

Section: Wind Turbine Modelingmentioning

confidence: 99%

Nonlinear backstepping control for PMSG wind turbine used on the real wind profile of the Dakhla‐Morocco city

Mourabit

Derouich

Ghzizal

et al. 2020

Int Trans Electr Energ Syst

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Summary This paper deals with a nonlinear control of a wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG) interconnected to the distribution grid. The system connected to the grid is achieved by two IGBT based back‐to‐back converters controlled by pulse width modulation (PWM) and a capacitor as a DC link between them. Firstly, a literature review on the recent studies of nonlinear control in the wind energy field is introduced. Subsequently, a complete description of the wind energy conversion system with its dynamic modeling is presented. The second part of this article focused on the proposed control laws that rely on backstepping control as well as the maximum power point tracking (MPPT) command. The main objective of the control is to optimize the extraction of the wind power in the presence of a real wind profile and to keep the PMSG working properly with the best performance in both static and dynamic modes. The wind profile of this simulation is measured from the Dakhla region in Morocco to test the system robustness against real conditions. The simulation analysis prove the validation of the control strategy using a 2‐MW wind turbine and showed that the backstepping control based on the Lyapunov stability technique offers excellent results in terms of THD rate that does not exceed 0.95%.

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“…1) Stator field oriented technique: In order to separately control the stator active and reactive powers of the wind turbine generator, the stator flux linkage is aligned with the direct axis of PARK reference frame [22,30]. There are other alignment possibilities in the literature such as using the stator voltage vector or rotor flux linkage, but using the stator flux vector still the most commonly used for control of the DFIG applications.…”

Section: B Stator Active and Reactive Powers Controlmentioning

confidence: 99%

Active and Reactive Power Control of Wind Turbine based on Doubly Fed Induction Generator using Adaptive Sliding Mode Approach

Zamzoum¹,

Mourabit²,

Errouha³

et al. 2019

ijacsa

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In this work, a robust Adaptive sliding mode controller (ASMC) is proposed to improve the dynamic performance of the Doubly Fed Induction generator (DFIG) based wind system under variable wind speed conditions. Firstly, the dynamic modeling of the main components of the system is performed. Thereafter, the ASMC is designed to control the active and reactive powers of the machine stator. The structure of these controllers was improved by adding two integral terms. Their sliding gains are determined using Lyapunov stability theorem to make them automatically adjusted in order to tackle the external disturbances. Maximum Power Point Tracking (MPPT) strategy was also applied to enhance the power system efficiency. Then, a comparison study with the Field Oriented Control (FOC) based on conventional PI control was conducted to assess the robustness of this technique under the DFIG parameters variations. Finally, a computer simulation was achieved in MATLAB/SIMULINK environment using 2MW wind system model. Satisfactory performances of the proposed strategy were clearly confirmed under variable operating conditions.

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Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization

Cited by 47 publications

References 44 publications

Sustainable production of wind energy in the main Morocco's sites using permanent magnet synchronous generators

Sustainable production of wind energy in the main Morocco's sites using permanent magnet synchronous generators

Nonlinear backstepping control for PMSG wind turbine used on the real wind profile of the Dakhla‐Morocco city

Active and Reactive Power Control of Wind Turbine based on Doubly Fed Induction Generator using Adaptive Sliding Mode Approach

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