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Employing two novel mechanical fault ride through controllers for keeping stability of fixed speed wind generation systems hosted by standalone micro-grid

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  • Kamel, Rashad M.

Abstract

This paper proposes and designs two novels Fault Ride Through (FRT) controllers for maintaining Fixed Speed Wind Generation system (FSWGs) stability during fault events. The first technique has been implemented by increasing the wind turbine blade pitch angle with maximum possible rate to reduce the mechanical extracted wind power and consequently suppress wind generation system acceleration. The second FRT technique has been verified by adapting gear ratio of wind generation system to run far from optimum maximum power point and help FRT process. Effectiveness of the two proposed FRT techniques has been proven by accurate simulation of the most severe disturbance conditions. Also, Results indicated that second technique gives faster response than the first one. Without employing any FRT technique, FSWGs cannot keep its stability and the standalone Micro-Grid (MG) transfers to the blackout mode. Implementation the two FRT techniques requires no additional hardware. Only, control algorithms need little modification to deal with fault event and help FRT process. This fact makes the two proposed FRT techniques are simple, practical and highly economical attractive.

Suggested Citation

  • Kamel, Rashad M., 2014. "Employing two novel mechanical fault ride through controllers for keeping stability of fixed speed wind generation systems hosted by standalone micro-grid," Applied Energy, Elsevier, vol. 116(C), pages 398-408.
  • Handle: RePEc:eee:appene:v:116:y:2014:i:c:p:398-408
    DOI: 10.1016/j.apenergy.2013.11.009
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    Cited by:

    1. Kamel, Rashad M., 2016. "New inverter control for balancing standalone micro-grid phase voltages: A review on MG power quality improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 520-532.
    2. Manchester, Sebastian C. & Swan, Lukas G. & Groulx, Dominic, 2015. "Regenerative air energy storage for remote wind–diesel micro-grid communities," Applied Energy, Elsevier, vol. 137(C), pages 490-500.
    3. Kamel, Rashad M. & Nagasaka, Ken, 2015. "Effect of load type on standalone micro grid fault performance," Applied Energy, Elsevier, vol. 160(C), pages 532-540.
    4. Kamel, Rashad M., 2016. "Standalone micro grid power quality improvement using inertia and power reserves of the wind generation systems," Renewable Energy, Elsevier, vol. 97(C), pages 572-584.
    5. Anantha Krishnan, V. & Balamurugan, P., 2022. "An efficient DLN2-CRSO approach based dynamic stability enhancement in micro-grid system," Applied Energy, Elsevier, vol. 322(C).
    6. Carunaiselvane, C. & Chelliah, Thanga Raj, 2017. "Present trends and future prospects of asynchronous machines in renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1028-1041.

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