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Numerical definitions of wind power output fluctuations for power system operations

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  • Ikegami, Takashi
  • Urabe, Chiyori T.
  • Saitou, Tetsuo
  • Ogimoto, Kazuhiko

Abstract

Because of unpredictable fluctuations in wind power output caused by sudden changes in weather conditions, operations that balance supply and demand in power systems will gradually become more difficult with the massive deployment of wind power generation. Therefore, it is necessary to quantitatively evaluate wind power output fluctuations in a way that corresponds to frequency controls in power system operations. In this study, we analyzed data for the fluctuations of actual wind power output at 20 wind farms, as designated by three basic definitions: the changes in time-averaged values, the maximum power-fluctuation range within a time window, and the deviations from a centered moving average value. The results indicated relevant differences between the definitions and demonstrated the importance of percentile analysis. We proposed a novel quantitative definition of the output fluctuations associated with the frequency controls of power systems: primary turbine-governor control, secondary load-frequency control, and tertiary economic load-dispatch control. Using these definitions to quantify fluctuations demonstrates how each smoothing technique can contribute to reducing the reserve capacity necessary for frequency control in the power system operations. Our proposed definitions for dividing the frequency ranges of the fluctuations were confirmed as a convenient and practical method for quantitatively evaluating the fluctuations and determining the reserve capacity required for stable power system operations.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:115:y:2018:i:c:p:6-15
    DOI: 10.1016/j.renene.2017.08.009
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    1. Goić, R. & Krstulović, J. & Jakus, D., 2010. "Simulation of aggregate wind farm short-term production variations," Renewable Energy, Elsevier, vol. 35(11), pages 2602-2609.
    2. Olauson, Jon & Bergström, Hans & Bergkvist, Mikael, 2016. "Restoring the missing high-frequency fluctuations in a wind power model based on reanalysis data," Renewable Energy, Elsevier, vol. 96(PA), pages 784-791.
    3. Tarroja, Brian & Mueller, Fabian & Eichman, Joshua D. & Brouwer, Jack & Samuelsen, Scott, 2011. "Spatial and temporal analysis of electric wind generation intermittency and dynamics," Renewable Energy, Elsevier, vol. 36(12), pages 3424-3432.
    4. Kodama, Naruhito & Matsuzaka, Tomoyuki & Tuchiya, Keiichi & Arinaga, Shinji, 1999. "Power variation control of a wind generator by using feed forward control," Renewable Energy, Elsevier, vol. 16(1), pages 847-850.
    5. Tuohy, Aidan & Meibom, Peter & Denny, Eleanor & O'Malley, Mark, 2009. "Unit commitment for systems with significant wind penetration," MPRA Paper 34849, University Library of Munich, Germany.
    6. El Mokadem, M. & Courtecuisse, V. & Saudemont, C. & Robyns, B. & Deuse, J., 2009. "Experimental study of variable speed wind generator contribution to primary frequency control," Renewable Energy, Elsevier, vol. 34(3), pages 833-844.
    7. Katzenstein, Warren & Fertig, Emily & Apt, Jay, 2010. "The variability of interconnected wind plants," Energy Policy, Elsevier, vol. 38(8), pages 4400-4410, August.
    8. Barasa, Maulidi & Aganda, Alex, 2016. "Wind power variability of selected sites in Kenya and the impact to system operating reserve," Renewable Energy, Elsevier, vol. 85(C), pages 464-471.
    9. Buttler, Alexander & Dinkel, Felix & Franz, Simon & Spliethoff, Hartmut, 2016. "Variability of wind and solar power – An assessment of the current situation in the European Union based on the year 2014," Energy, Elsevier, vol. 106(C), pages 147-161.
    10. Jon Olauson & Mohd Nasir Ayob & Mikael Bergkvist & Nicole Carpman & Valeria Castellucci & Anders Goude & David Lingfors & Rafael Waters & Joakim Widén, 2016. "Net load variability in Nordic countries with a highly or fully renewable power system," Nature Energy, Nature, vol. 1(12), pages 1-8, December.
    11. Chowdhury, M.A. & Hosseinzadeh, N. & Shen, W.X., 2012. "Smoothing wind power fluctuations by fuzzy logic pitch angle controller," Renewable Energy, Elsevier, vol. 38(1), pages 224-233.
    12. Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-jie., 2016. "A significant reduction in the costs of battery energy storage systems by use of smart parking lots in the power fluctuation smoothing process of the wind farms," Renewable Energy, Elsevier, vol. 87(P1), pages 1-14.
    13. 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.
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