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  1. 紀要掲載論文
  2. 北見工業大学研究報告
  3. Vol.16

Probabilistic Operation of Electric Power Systems Considering Environmental Constraint (Part 5) -A Strict Method for Transmission Capacity-

https://kitami-it.repo.nii.ac.jp/records/6572
https://kitami-it.repo.nii.ac.jp/records/6572
1669183e-8d5f-450e-a951-faae643b5afa
名前 / ファイル ライセンス アクション
16-2-4.pdf 16-2-4.pdf (2.9 MB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2007-04-09
タイトル
タイトル Probabilistic Operation of Electric Power Systems Considering Environmental Constraint (Part 5) -A Strict Method for Transmission Capacity-
言語 en
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ departmental bulletin paper
著者 Yoichi, NAKAMURA

× Yoichi, NAKAMURA

WEKO 33127

en Yoichi, NAKAMURA

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Susumu, YAMASHIRO

× Susumu, YAMASHIRO

WEKO 33128

en Susumu, YAMASHIRO

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抄録
内容記述タイプ Abstract
内容記述 An optimum operation scheduling method is reported using quadratic programming. In this report, the optimum operation is considered as that which economically satisfiers all line capacities and environmental constraint. This method is developed in order to extend another method whose schedule satisfies many of the constraints of a faulty state in an electric power system. The limit of NO_x pollution is considered as a typical environmental constraint. Kuhn-Tucker conditions are shown for this problem. Except for the NO_x pollution constraint, the Kuhn-Tucker conditions are solved using quadratic programming. The kinds of artificial variables introduced, which are necessary for an initial feasible solution, are kept to a minimum so that the calculation can be done compactly. The cost function of the quadratic programming is constituted by the quadratic equations which are selected from Kuhn-Tucker conditions. The cost function is modified to a linear equation. The results of the model system simulations are compared with the quadratic programming method and LaGrange’s multipliers method. Investigating them, the following is shown : LaGrange’s method is very fast for calculating time, but it is weak if there are many and severe constraint. The quadratic method can estimate the optimum operation strictly even when the constraints are many and severe.
言語 en
書誌情報 ja : 北見工業大学研究報告

巻 16, 号 2, p. 99-105, 発行日 1985-03
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内容記述タイプ Other
内容記述 application/pdf
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言語 en
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出版者 北見工業大学
言語 ja
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