Power System Transient Stability Assessment Method Based on Convolutional Neural Network

被引：0
|
作者：
Yang, Jun [1 ]
Cao, Zhen [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Transient Stability Assessment; Convolutional Neural Network; Deep Learning; Power System;
D O I：
10.1109/ccdc.2019.8832580
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method based on convolutional neural network is proposed for power system transient stability assessment in this paper, which can overcome the shortcomings of traditional evaluation methods and satisfy the requirements with high assessment accuracy of power system transient stability assessment problems. Firstly, the structural characteristic of convolutional neural network is introduced in this paper, then the applicability in transient stability assessment problems is analyzed. Secondly, the training methods of convolutional neural network are optimized according to the characteristics of transient stability assessment problem, and the batch normalization algorithm is added to establish the transient stability assessment model. Finally, the simulation performed on the New England 10-machine 39-node system demonstrates the effectiveness of the proposed method.
引用
收藏
页码：5819 / 5824
页数：6
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