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Enhancing Doubly Fed Induction Generator Low-Voltage Ride-through Capability Using Dynamic Voltage Restorer with Adaptive Noise Cancellation Technique

Author

Listed:
  • Mohamed Adel Ahmed

    (Department of Electrical Engineering, Jouf University, Sakaka 72388, Saudi Arabia
    Electrical Engineering Department, College of Engineering, Benha University, Benha 13512, Egypt)

  • Tarek Kandil

    (Department of Electrical and Computer Engineering, College of Engineering and Computing, Georgia Southern University, Statesboro, GA 30460, USA)

  • Emad M. Ahmed

    (Department of Electrical Engineering, Jouf University, Sakaka 72388, Saudi Arabia
    Department Electrical Engineering, Aswan University, Aswan 81542, Egypt)

Abstract

Some of the major challenges facing micro-grids (MGs) during their connection with the utility grid are maintaining power system stability and reliability. One term that is frequently discussed in literature is the low-voltage ride-through (LVRT) capability, as it is required by the utility grid to maintain its proper operation and system stability. Furthermore, due to their inherent advantages, doubly fed induction generators (DFIGs) have been widely installed on many wind farms. However, grid voltage dips and distortion have a negative impact on the operation of the DFIG. A dynamic voltage restorer (DVR) is a commonly used device that can enhance the LVRT capability of DFIG compared to shunt capacitors and static synchronous compensator (STATCOM). DVR implements a series compensation during fault conditions by injecting the proper voltage at the point of common coupling (PCC) in order to preserve stable terminal voltage. In this paper, we propose a DVR control method based on the adaptive noise cancelation (ANC) technique to compensate for both voltage variation and harmonic mitigation at DFIG terminals. Additionally, we propose an online control of the DC side voltage of the DVR using pulse width modulation (PWM) rectifier to reduce both the size of the storage element and the solid-state switches of the DVR, aiming to reduce its overall cost. A thorough analysis of the operation and response of the proposed DVR is performed using MATLAB/SIMULINK under different operating conditions of the grid. The simulation results verify the superiority and robustness of the proposed technique to enhance the LVRT capability of the DFIG during system transients and faults.

Suggested Citation

  • Mohamed Adel Ahmed & Tarek Kandil & Emad M. Ahmed, 2022. "Enhancing Doubly Fed Induction Generator Low-Voltage Ride-through Capability Using Dynamic Voltage Restorer with Adaptive Noise Cancellation Technique," Sustainability, MDPI, vol. 14(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:859-:d:723323
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    References listed on IDEAS

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    1. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
    2. Zia, Muhammad Fahad & Elbouchikhi, Elhoussin & Benbouzid, Mohamed, 2018. "Microgrids energy management systems: A critical review on methods, solutions, and prospects," Applied Energy, Elsevier, vol. 222(C), pages 1033-1055.
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