混雑可能性予測におけるファジィ自己回帰モデルの適用

カテゴリ: 全国大会

論文No: 6-036

グループ名: 【全国大会】平成14年電気学会全国大会論文集

発行日: 2002/03/26

タイトル(英語): Estimation of Congestion Possibility in Transmission Network Based on Fuzzy Auto-regression Model

著者名: 李 蕊(東京都立大学),石丸 将愛(東京都立大学),横山 隆一(東京都立大学)

著者名(英語): Rui Li(Tokyo Metropolitan University),Masachika Ishimaru(Tokyo Metropolitan University),Ryuichi Yokoyama(Tokyo Metropolitan University)

キーワード: 電力市場|ファジイ理論|規制緩和|混雑可能性|信頼度

要約(日本語): This paper focuses on proposing a computational algorithm for calculating the possibility of congestion in internet of power system based on fuzzy systems theory. The calculation for the possibility of congestion and reduction of congestion is big problem as open access in power electric market, to maintain the stability and reliability of power system. The calculation method of optimal power flow to value power system reliability according to estimated value has been recounted. The proposed method has been used to analyse the maximum power requirement for the whole power system of California.

原稿種別: 日本語

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