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ファイル | 記述 | サイズ | フォーマット | |
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j.ifacol.2016.10.377.pdf | 546.28 kB | Adobe PDF | 見る/開く |
タイトル: | Exploitation of uncertain weather forecast data in power network management |
著者: | Tomisawa, Y. Ohki, K. Sugihara, H. Kashima, K. Ohta, Y. |
著者名の別形: | 大木, 健太郎 |
キーワード: | Stochastic model predictive control Applications Electric power systems Electrical network Parallel circuit transmission lines |
発行日: | 2016 |
出版者: | Elsevier BV |
誌名: | IFAC-PapersOnLine |
巻: | 49 |
号: | 22 |
開始ページ: | 85 |
終了ページ: | 90 |
抄録: | In power network management, the heat capacity of transmission lines originally arises from the line temperature constraint. The line temperatures are affected not only by the Joule heat but also by the thermal environment. This motivates us to exploit weather forecast data to improve the power management performance. The goal of this paper is to propose a stochastic model predictive control scheme for this purpose. In particular, we compensate for the probabilistic uncertainty by means of chance constraint optimization. The effectiveness of the proposed control scheme is examined through numerical simulation of power grids under the area dependent uncertainty and transmission line failure. |
著作権等: | © 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. The authors may share the final published article on public non-commercial sites in the terms of the Creative Commons CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
URI: | http://hdl.handle.net/2433/250512 |
DOI(出版社版): | 10.1016/j.ifacol.2016.10.377 |
出現コレクション: | 学術雑誌掲載論文等 |
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