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Please use this identifier to cite or link to this item: http://hdl.handle.net/11133/1134

Title: ニューラルネットワークに基づく電力系統の過渡安定度推定
Other Titles: ニューラル ネットワーク ニ モトヅク デンリョク ケイトウ ノ カト アンテイド スイテイ
Estimation of Power System Transient Stability by Artificial Neural Network
Authors: 山田, 浩
雪田, 和人
後藤, 泰之
一柳, 勝宏
田端, 康人
小川, 重明
YAMADA, Hiroshi
YUKITA, Kazuto
GOTO, Yasuyuki
TABATA, Yasuhito
OGAWA, Shigeaki
Issue Date: 31-Mar-2001
Publisher: 愛知工業大学
Abstract: The estimation of power system transient stability is more difficult and great importance because the power system becomes larger and larger. Therefore, the fast stability estimation to contingency faults is demanded in the power system operation. In this paper, the neural network technique is applied for the fast classification of system dynamic security status. A suitable topology for the neural network is developed, and the appropriate training system method and input and output signals are selected. The procedure developed is successfully applied to the IEEJ WEST10-generator system and EAST10-generator system. The data obtained by the energy functions are used for training the neural network.
URI: http://hdl.handle.net/11133/1134
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