Optimization &amp; control strategy for offshore wind turbine based on a dual fed induction generator

Benyachou, B.; Bahrar, Bennasser; Moufakkir, Abdelkrim; Gueraoui, Kamal; Alaoui, Mohammed

doi:10.1016/j.matpr.2022.02.546

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…When a fault occurs, the converters are disconnected and bypassed to protect them, and instead of the power electronic converters and DC-link capacitor, a crowbar resistor is connected to the slip rings of the rotor windings [21]. The pitch angle control is also used to protect the generator speed from acceleration by reducing the wind turbine's mechanical power in the event of a grid fault [22][23][24]. All previous controls are activated and deactivated using the Neuro-Fuzzy Inference System (ANFIS).…”

Section: Introductionmentioning

confidence: 99%

Blades Pitch Angle Control and Crowbar Protection of a Wind Turbine using Adaptive Neuro-Fuzzy Inference System at Severe Faulty Conditions

Samir

Bahgat²,

Abdelghany³

et al. 2022

International Journal of Advanced Engineering and Business Scie

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Due to their superior efficiency, stability, and ability to produce maximum power at various typical operating situations, wind turbines driving doubly fed induction generator systems are widely utilized in the extraction of wind energy. These systems have stability issues, particularly at severe faulty conditions. This paper focuses on the fault ride-through of a doubly fed induction generator (DFIG) driven by a wind turbine using Adaptive Neuro-Fuzzy Inference System (ANFIS). The measured voltages and currents at the generator's terminals are used by the

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Section: Introductionmentioning

confidence: 99%

Blades Pitch Angle Control and Crowbar Protection of a Wind Turbine using Adaptive Neuro-Fuzzy Inference System at Severe Faulty Conditions

Samir

Bahgat²,

Abdelghany³

et al. 2022

International Journal of Advanced Engineering and Business Scie

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Physics-informed optimization of robust control system to enhance power efficiency of renewable energy: Application to wind turbine

Junejo

Gilal

Doh

2023

Energy

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Crowbar Protection and Blades Pitch Angle Control of a Wind Turbine at Severe Faulty Conditions using Adaptive Neuro-Fuzzy Inference System

Safwat

Bahgat

Abdelghany

et al. 2023

EEENG

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Background: Due to their superior efficiency, stability, and ability to produce maximum power under various typical operating situations, wind turbines driving doubly fed induction generator systems are frequently utilized in wind power extraction. These systems face stability problems especially at severe faulty conditions Objective: To protect the rotating parts of the system from over speeding when the fault occurs and to ensure that the generator does not deviate from stability by adjusting the aerodynamic torque of the wind turbine. In addition, to protect electrical parts of the system, especially DC bus voltage and power electronics converters. Methods: Using Adaptive Neuro-Fuzzy Inference System (ANFIS). The proposed ANFIS technique detects the faulty conditions from the measured voltages and currents at the terminals of the generator. In case of faulty cases, an ANFIS technology activates the wind turbine's pitch angle controller and the crowbar resistance. Results: A comparison between the behavior of DFIG at faulty conditions without any fault controller and with the proposed ANFIS technique is applied. When the ANFIS technique is used, the wind system's performance and response are improved Conclusion: The proposed ANFIS control system has proven its effectiveness in protecting the DFIG in the event of a grid fault.

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Optimization & control strategy for offshore wind turbine based on a dual fed induction generator

Cited by 3 publications

References 13 publications

Blades Pitch Angle Control and Crowbar Protection of a Wind Turbine using Adaptive Neuro-Fuzzy Inference System at Severe Faulty Conditions

Blades Pitch Angle Control and Crowbar Protection of a Wind Turbine using Adaptive Neuro-Fuzzy Inference System at Severe Faulty Conditions

Physics-informed optimization of robust control system to enhance power efficiency of renewable energy: Application to wind turbine

Crowbar Protection and Blades Pitch Angle Control of a Wind Turbine at Severe Faulty Conditions using Adaptive Neuro-Fuzzy Inference System

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