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Fault Ride through Capability Analysis (FRT) in Wind Power Plants with Doubly Fed Induction Generators for Smart Grid Technologies

Author

Listed:
  • Aphrodis Nduwamungu

    (Africa Centre of Excellency in Energy for Sustainable Development, University of Rwanda, Kigali 4285, Rwanda)

  • Etienne Ntagwirumugara

    (Africa Centre of Excellency in Energy for Sustainable Development, University of Rwanda, Kigali 4285, Rwanda)

  • Francis Mulolani

    (Department of Electrical and Electronics Engineering, Copperbelt University, Kitwe 10101, Zambia)

  • Waqar Bashir

    (School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin 300160, China)

Abstract

Faults in electrical networks are among the key factors and sources of network disturbances. Control and automation strategies are among the key fault clearing techniques responsible for the safe operation of the system. Several researchers have revealed various constraints of control and automation strategies such as a slow dynamic response, the inability to switch the network on and off remotely, a high fault clearing time and loss minimization. For a system with wind energy technologies, if the power flow of a wind turbine is perturbed by a fault, the intermediate circuit voltage between the machine side converter and line side converter will rise to unacceptably high values due to the accumulation of energy in the DC link capacitor. To overcome the aforementioned issues, this paper used MATLAB simulations and experiments to analyze and validate the results. The results revealed that fault ride through capability with Supervisory Control and Data Acquisition (SCADA) viewer software, Active Servo software and wind sim packages are more adaptable to the variations of voltage sag, voltage swell and wind speed and avoid loss of synchronism and improve power quality. Furthermore, for protection purposes, a DC chopper and a crowbar should be incorporated into the management of excess energy during faults and a ferrite device included for the reduction of the electromagnetic field.

Suggested Citation

  • Aphrodis Nduwamungu & Etienne Ntagwirumugara & Francis Mulolani & Waqar Bashir, 2020. "Fault Ride through Capability Analysis (FRT) in Wind Power Plants with Doubly Fed Induction Generators for Smart Grid Technologies," Energies, MDPI, vol. 13(16), pages 1-26, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4260-:d:400229
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    References listed on IDEAS

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    1. Qiu, Yingning & Feng, Yanhui & Infield, David, 2020. "Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method," Renewable Energy, Elsevier, vol. 145(C), pages 1923-1931.
    2. Altan Gencer, 2019. "Analysis and Control of Fault Ride-Through Capability Improvement for Wind Turbine Based on a Permanent Magnet Synchronous Generator Using an Interval Type-2 Fuzzy Logic System," Energies, MDPI, vol. 12(12), pages 1-16, June.
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    Cited by:

    1. Shuyu Guo & Shihong Miao & Haipeng Zhao & Haoran Yin & Zixin Wang, 2020. "A Novel Fault Location Method of a 35-kV High-Reliability Distribution Network Using Wavelet Filter-S Transform," Energies, MDPI, vol. 13(19), pages 1-22, October.
    2. Kenneth E. Okedu, 2022. "Augmentation of DFIG and PMSG Wind Turbines Transient Performance Using Different Fault Current Limiters," Energies, MDPI, vol. 15(13), pages 1-25, June.
    3. Adolfo Dannier & Emanuele Fedele & Ivan Spina & Gianluca Brando, 2022. "Doubly-Fed Induction Generator (DFIG) in Connected or Weak Grids for Turbine-Based Wind Energy Conversion System," Energies, MDPI, vol. 15(17), pages 1-5, September.
    4. Kenneth E. Okedu & S. M. Muyeen, 2022. "Comparative Performance of DFIG and PMSG Wind Turbines during Transient State in Weak and Strong Grid Conditions Considering Series Dynamic Braking Resistor," Energies, MDPI, vol. 15(23), pages 1-22, December.

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