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Probabilistic evaluation of interconnectable capacity for wind power generation

Stochastic linearization approach

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Abstract

We propose a novel framework for probabilistic evaluation of interconnectable capacity for wind power generation. This is based on mathematical modeling of load frequency control systems, which captures their nonlinear (saturation and rate limiting) dynamical characteristics, and stochastic uncertainty of wind power output deviation. The method called stochastic linearization is used to analyze resulting power quality. The effectiveness of the proposed method is examined by numerical simulation.

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Authors and Affiliations

  1. Kyoto University, 36-1, Yoshida Honmachi, Sakyo-ku, Kyoto, 606-8501, Japan

    Kenji Kashima

  2. Tokyo Denki University, 5, Senju-Asahi-cho, Adachi-ku, Tokyo, 120-8551, Japan

    Masakazu Kato

  3. Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro, Tokyo, 145-0062, Japan

    Jun-ichi Imura

  4. The University of Tokyo, 4-6-1, Komaba, Meguro, Tokyo, 153-8505, Japan

    Kazuyuki Aihara

Authors
  1. Kenji Kashima
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  2. Masakazu Kato
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  3. Jun-ichi Imura
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  4. Kazuyuki Aihara
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Corresponding authors

Correspondence to Kenji Kashima, Masakazu Kato, Jun-ichi Imura or Kazuyuki Aihara.

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Kashima, K., Kato, M., Imura, Ji. et al. Probabilistic evaluation of interconnectable capacity for wind power generation. Eur. Phys. J. Spec. Top. 223, 2493–2501 (2014). https://doi.org/10.1140/epjst/e2014-02276-9

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  • DOI: https://doi.org/10.1140/epjst/e2014-02276-9

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