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18824889.2021.1906017.pdf | 1.67 MB | Adobe PDF | 見る/開く |
タイトル: | Stochastic model-based assessment of power systems subject to extreme wind power fluctuation |
著者: | Ito, Kaito Kashima, Kenji https://orcid.org/0000-0002-2963-2584 (unconfirmed) Kato, Masakazu Ohta, Yoshito https://orcid.org/0000-0003-0025-7482 (unconfirmed) |
著者名の別形: | 伊藤, 海斗 加嶋, 健司 太田, 快人 |
キーワード: | Extreme events linearization renewable energy stochastic systems stable distribution |
発行日: | 25-Apr-2021 |
出版者: | Informa UK Limited |
誌名: | SICE Journal of Control, Measurement, and System Integration |
巻: | 14 |
号: | 1 |
開始ページ: | 67 |
終了ページ: | 77 |
抄録: | Extreme outliers of wind power fluctuation are a source of severe damage to power systems. In our previous work, we proposed a modelling framework, verified its usefulness via real data, and developed a model-based evaluation method of the impact of such extreme outliers. However, it has been a drawback that the obtained estimates of frequency fluctuation of power systems are sometimes excessively conservative for their practical use. To overcome this weakness, theory and methods for tightening the fluctuation estimates are investigated in this paper. This is done by applying a robust performance analysis method of a Lur'e system to the error analysis of stochastic linearization. The usefulness of our proposed method is shown through a load frequency control model. |
著作権等: | © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
URI: | http://hdl.handle.net/2433/263838 |
DOI(出版社版): | 10.1080/18824889.2021.1906017 |
出現コレクション: | 学術雑誌掲載論文等 |
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