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Transient Stability Enhancement for 20 MW PV Power Plant via Incremental Conductance Controller

Author

Listed:
  • Rania Gamal Mohamed

    (Faculty of Engineering, Al-Azhar University, Cairo, Egypt)

  • Mohamed Ahmed Ebrahim

    (Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt)

  • Fahmy Metwally Bendary

    (Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt)

  • Saied Abd ALAziz Osman

    (Faculty of Engineering, Al-Azhar University, Cairo, Egypt)

Abstract

The inherited uncertainties in the Photovoltaic array (PV) system make it one of the most difficult nonlinear problems in the control theory. In this research work, a practical case study for 20 MW Egyptian PV solar power plant with battery backup system connected to the medium voltage distribution network is presented. This power plant installed in Komombo, Aswan, Egypt. The battery is used to provide the necessary power for the station's monitoring and control devices during the absence of the sun. Also, the battery system improves the steady state and dynamic behavior of PV array system. Proportional-Integral (PI) and Fractional Order Proportional-Integral (FOPI) with Incremental Conductance MPPT algorithm (IC)are used for extracting maximum power from PV power plant. The optimal gains of PI and FOPI based MPPT controllers are attained using Grey Wolf Optimizer (GWO). Various types of disturbances are applied to the system to test the robustness of the systems based on the tuned controllers. The performance is promising.

Suggested Citation

  • Rania Gamal Mohamed & Mohamed Ahmed Ebrahim & Fahmy Metwally Bendary & Saied Abd ALAziz Osman, 2017. "Transient Stability Enhancement for 20 MW PV Power Plant via Incremental Conductance Controller," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 6(4), pages 102-123, October.
    • Handle: RePEc:igg:jsda00:v:6:y:2017:i:4:p:102-123
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    Cited by:

    1. Aniket Agarwal & Kirti Pal, 2021. "Optimization of Unit Commitment Problem Using Genetic Algorithm," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(3), pages 21-37, July.

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