Power System's Damping Analysis Based on RBF Neural Network

被引：0
|
作者：
Bu Jing [1 ]
Jiang Ning-qiang [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Automat Inst, Nanjing, Jiangsu, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON APPLIED PHYSICS AND INDUSTRIAL ENGINEERING 2012, PT B | 2012年 / 24卷
关键词：
electromagnetic torque; damping coefficient; RBF; neural network;
D O I：
10.1016/j.phpro.2012.02.152
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, to solve the problem that the uncertainty of selecting generator's damping coefficient in power system's transient simulation, RBF neural network is used to calculate damping coefficient in the transient process of generator, which uses power angle and angle acceleration as input variables and electromagnetic torque as output one. It is used the trained RBF network to carry on the analysis of damping torque, and dynamic damping coefficient can be obtained. Finally, it is analyzed by the classical model in SMIB. Simulation results show that this method can effectively calculate generator's damping coefficient. (C) 2011 Published by Elsevier B.V. Selection and/or peer-review under responsibility of ICAPIE Organization Committee.
引用
收藏
页码：1018 / 1023
页数：6
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