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Standalone micro grid power quality improvement using inertia and power reserves of the wind generation systems

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  • Kamel, Rashad M.

Abstract

This paper proposes two controllers for employing part of variable speed wind generation systems kinetic energy in supporting the standalone MG frequency. The first controller acts similar to the frequency droop control, while the second controller emulates both the inertia response and the frequency droop control simultaneously. The MG frequency dropped only to 49.9 Hz with employing the proposed controllers compared with 49.68 Hz without employing the proposed controllers. Also, the injected active power from the storage device dropped from 20 kW to only 3 kW after employing the proposed controllers. In addition, the reactive power capability of the Double Fed Induction Generator (DFIG) wind generation system has been employed to maintain the standalone MG bus voltage at acceptable level. If there are fixed speed wind generation systems in the standalone MG, this paper proposed using the pitch angle controller to employ a suitable wind turbine power reserve in MG frequency supporting during the standalone mode. Results proved the effectiveness of the proposed controllers in improvement the MG overall performance during and subsequent the islanding occurrence.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:572-584
    DOI: 10.1016/j.renene.2016.06.004
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    References listed on IDEAS

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    1. Borhanazad, Hanieh & Mekhilef, Saad & Gounder Ganapathy, Velappa & Modiri-Delshad, Mostafa & Mirtaheri, Ali, 2014. "Optimization of micro-grid system using MOPSO," Renewable Energy, Elsevier, vol. 71(C), pages 295-306.
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    1. Pradhan, Chittaranjan & Bhende, Chandrashekhar Narayan & Samanta, Anik Kumar, 2018. "Adaptive virtual inertia-based frequency regulation in wind power systems," Renewable Energy, Elsevier, vol. 115(C), pages 558-574.
    2. Ikegami, Takashi & Urabe, Chiyori T. & Saitou, Tetsuo & Ogimoto, Kazuhiko, 2018. "Numerical definitions of wind power output fluctuations for power system operations," Renewable Energy, Elsevier, vol. 115(C), pages 6-15.

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