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Determination of Maximum Wind Power Penetration in an Isolated Island System by Considering Spinning Reserve

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  • Chia-An Chang

    (Department of Electrical Engineering, Tatung University, Section 3, Zhongshan North Road, Zhongshan District, Taipei 10452, Taiwan
    Institute of Nuclear Energy Research, Atomic Energy Council, Wenhua Road, Longtan District, Taoyuan 32546, Taiwan)

  • Yuan-Kang Wu

    (Department of Electrical Engineering, National Chung Cheng University, Section 1, Minxiong Township, University Road, Chia-yi 62102, Taiwan)

  • Bin-Kwie Chen

    (Department of Electrical Engineering, Tatung University, Section 3, Zhongshan North Road, Zhongshan District, Taipei 10452, Taiwan)

Abstract

The abundant wind resources in the Penghu area, where the capacity factor of wind turbines can reach 45%, have inspired authorities to build more wind turbines in a diesel-based power system. However, because the wind turbine output is unstable, high wind power penetration in the system may relatively affect the power quality (voltage and frequency) and reliability of the system. Previous studies have suggested that the optimal penetration level for wind power generation under the present dispatching criteria in Penghu is 26.3%. The present study suggests that the criteria for current unit scheduling should be modified; in particular, the spinning reserve ( SR ) capacity of the diesel engines should be increased without affecting the reliability and power quality of the power system. Such an increase could help avoid the construction of high-cost energy storage systems.

Suggested Citation

  • Chia-An Chang & Yuan-Kang Wu & Bin-Kwie Chen, 2016. "Determination of Maximum Wind Power Penetration in an Isolated Island System by Considering Spinning Reserve," Energies, MDPI, vol. 9(9), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:9:p:688-:d:76939
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    References listed on IDEAS

    as
    1. Wu, Yuan-Kang & Han, Gia-Yo & Lee, Ching-Yin, 2013. "Planning 10 onshore wind farms with corresponding interconnection network and power system analysis for low-carbon-island development on Penghu Island, Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 531-540.
    2. Papathanassiou, Stavros A. & Boulaxis, Nikos G., 2006. "Power limitations and energy yield evaluation for wind farms operating in island systems," Renewable Energy, Elsevier, vol. 31(4), pages 457-479.
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    Cited by:

    1. Sarah Barrows & Kendall Mongird & Brian Naughton & Rachid Darbali-Zamora, 2021. "Valuation of Distributed Wind in an Isolated System," Energies, MDPI, vol. 14(21), pages 1-20, October.
    2. Fernando Manuel Carvalho da Silva Santos & Leonardo Elizeire Bremermann & Tadeu Da Mata Medeiros Branco & Diego Issicaba & Mauro Augusto da Rosa, 2018. "Impact Evaluation of Wind Power Geographic Dispersion on Future Operating Reserve Needs," Energies, MDPI, vol. 11(11), pages 1-13, October.
    3. Elena Sosnina & Andrey Dar’enkov & Andrey Kurkin & Ivan Lipuzhin & Andrey Mamonov, 2022. "Review of Efficiency Improvement Technologies of Wind Diesel Hybrid Systems for Decreasing Fuel Consumption," Energies, MDPI, vol. 16(1), pages 1-38, December.
    4. Yi Tang & Jianfeng Dai & Jia Ning & Jie Dang & Yan Li & Xinshou Tian, 2017. "An Extended System Frequency Response Model Considering Wind Power Participation in Frequency Regulation," Energies, MDPI, vol. 10(11), pages 1-18, November.
    5. Psarros, Georgios N. & Papathanassiou, Stavros A., 2023. "Generation scheduling in island systems with variable renewable energy sources: A literature review," Renewable Energy, Elsevier, vol. 205(C), pages 1105-1124.

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