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All Journal International Journal of Applied Power Engineering (IJAPE) International Journal of Robotics and Control Systems
Alqaisi, Walid
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Control & Systems Engineering Electrical & Electronics Engineering

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Optimizing Low-Voltage Ride-Through in DFIG Wind Turbines via QPQC-Based Predictive Control for Grid Compliance Badawi, Ahmed; Soliman, Mostafa; Elzein, I. M.; Alqaisi, Walid
International Journal of Robotics and Control Systems Vol 5, No 1 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i1.1661

Abstract

This paper introduces a novel Model Predictive Control (MPC)-based strategy to enhance Low-Voltage Ride-Through (LVRT) capability for wind turbines equipped with Doubly Fed Induction Generators (DFIGs). According to modern grid codes, grid-connected wind turbines must remain operational during voltage dips and support the grid by injecting both active and reactive power. However, voltage dips pose significant challenges for (DFIG)-based wind turbines because voltage dips can induce significant large inrush current in the rotor, potentially damaging the rotor converter. Conventional control methods employ proportional-integral (PI) controllers for rotor current regulation and crowbar circuits to protect the converter by diverting high rotor currents away from the converter when they exceed their safe limit. While effective in protecting the hardware, crowbar activation temporarily disconnects the rotor from control, leading to a loss of power injection capabilities and noncompliance with grid codes. To overcome these limitations, this paper proposes an MPC-based rotor current controller formulated as a Quadratically-Constrained Quadratic Programming (QCQP) optimization problem. This controller explicitly incorporates rotor current and voltage constraints while optimizing control performance during grid faults. MATLAB-based simulations for both low- and medium-voltage dips demonstrate the superiority of the proposed approach over conventional PI controllers. The results confirm that the MPC strategy ensures LVRT compliance without the need for a crowbar circuit, maintaining stability and improving performance during a wide-range of fault conditions.
Boost efficiency performance through the enhancement of duty cycle based MPPT algorithm Badawi, Ahmed; Elzein, I. M.; Alqaisi, Walid; Zyoud, Al Hareth
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i3.pp541-550

Abstract

The use of direct power control (DPC) has become popular as an effective control strategy for pulse width modulated (PWM) converters. The incremental conductance algorithm (INC) is utilized to control the duty cycle (D) in tracking the optimal point to increase power efficiency in wind energy conversion systems (WECS). WECS parameters are adjusted to achieve unity power factor, allowing the system to extract maximum power (????????????????) from WECS. Simulation results show that wind speed has a significant impact on the captured power, with a proportional relationship between wind speed and power. Control strategies are employed to optimize the (D) to reach the desired operating point. A DC-DC boost converter is connected to WECS, where the (D) controls the MOSFET to maintain ???????????????? at the optimal level on the DC link. Various wind speed profiles are simulated in this study to evaluate system efficiency, especially under conditions of rapid wind speed fluctuations. The controller based on (D) demonstrates superior tracking performance through the DC link, ensuring that ???????????????? remains at an optimal level.
Co-Authors Badawi, Ahmed Elzein, I. M. Soliman, Mostafa Zyoud, Al Hareth