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Please use this identifier to cite or link to this item: http://hdl.handle.net/11133/1118

Title: エネルギー関数を用いたニューラルネットワークによる電力系統過渡安定度推定
Other Titles: エネルギー カンスウ オ モチイタ ニューラル ネットワーク ニヨル デンリョク ケイトウ カト アンテイド スイ
Estimation of Power System Transient Stability by Artificial Neural Network Taking Account of Energy Functions
Authors: 李, 揚
山田, 浩
雪田, 和人
後藤, 泰之
一柳, 勝宏
田端, 康人
香田, 勲
Li, Yang
YAMADA, Hiroshi
YUKITA, Kazuto
GOTO, Yasuyuki
TABATA, Yasuhito
Issue Date: 31-Mar-2000
Publisher: 愛知工業大学
Abstract: Estimation of power system transient stability is more difficult and great importance because the power system becomes larger and larger. Therefore, fast stability to contingency faults is demanded in power system operation. In this paper the neural networks technique is applied for fast classification of system dynamic security status. A suitable topology for the neural network is developed, and the appropriate training method and input and output signals are selected. The procedure developed is successfully applied to the IEEE 10-generator 39-bus test system. Data obtained by Energy Functions are used for training the neural network.
URI: http://hdl.handle.net/11133/1118
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