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Title: Probabilistic evaluation of interconnectable capacity for wind power generation
Authors: Kashima, Kenji  kyouindb  KAKEN_id  orcid (unconfirmed)
Kato, Masakazu
Imura, Jun-ichi
Aihara, Kazuyuki
Author's alias: 加嶋, 健司
Issue Date: 26-Sep-2014
Publisher: Springer Berlin Heidelberg
Journal title: The European Physical Journal Special Topics
Volume: 223
Issue: 12
Start page: 2493
End page: 2501
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.
Rights: The final publication is available at Springer via
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
DOI(Published Version): 10.1140/epjst/e2014-02276-9
Appears in Collections:Journal Articles

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