[1]黄文聪,王增雯,常雨芳,等. 一种基于WPT和LSTM的孤岛检测算法[J].湖北工业大学学报,2022,(5):1-5+22.
　HUANG Wencong,WANG Zengwen,CHANG Yufang,et al. An Island Detection Method Based on WPT and LSTM[J].,2022,(5):1-5+22.
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 一种基于WPT和LSTM的孤岛检测算法()
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《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
期数:
2022年第5期
页码:
1-5+22
栏目:
湖北工业大学学报
出版日期:
2022-10-25

文章信息/Info

Title:
 An Island Detection Method Based on WPT and LSTM
文章编号:
1003-4684(2022)05-0001-05
作者:
 黄文聪1;  王增雯1;  常雨芳1;  王明辉2
 1 湖北工业大学电气与电子工程学院， 湖北 武汉 430068;
 2 江苏金风软件技术有限公司, 江苏 无锡 214000
Author(s):
 HUANG Wencong1;  WANG Zengwen1;  CHANG Yufang1; WANG Minghui2
 1 School of Electrical and Electronic Engineering, Hubei Univ. of Tech., Wuhan 430068, China;
 2 Jiangsu Goldwind Software Technology Co., Ltd，Wuxi 214000，China
关键词:
 ; 防孤岛检测;  被动检测法;  小波包变换;  LSTM神经网络;  分布式光伏电站
Keywords:
 ; unintentional island detection;  passive detection;  wavelet transform;  LSTM neural network;  distributed photovoltaic generator
分类号:
TM615
文献标志码:
A
摘要:
 针对目前基于数字信号处理的防孤岛检测手段，提出一种小波包变换（Wavelet Package Transform,WPT）与长短时记忆(Long Short-Term Memory，LSTM)神经网络相结合的孤岛检测方法。该方法首先采集公共耦合点处不同工况下的电压波形，再将其分别进行4层小波分解，重构波形将1-7次低频和40次以上谐波成分滤除。最后将重构信号作为LSTM神经网络的输入对孤岛情况进行分类识别，完成孤岛检测。实验结果表明，所提方法网络学习效率高，检测准确率高。
Abstract:
 Anti-island detection devices must work rapidly and reliably due to the reason that unintentional island operation could disturb the stable state of power system. A new island detection method is proposed based on Wavelet Package Transform(WPT) and Long Short-Term Memory Neural Network(LSTM) according to the current island detection method which using digital signal processing. First, the voltage signals from common coupling point are sampled. Then they were decomposed by 4-level wavelet package transform, 1-7 order and over 40 order harmonic is filtered by WPT reconstruction. Finally, the LSTM Neural network is used to classify and detect the island operation condition. the simulation shows that this detection method has the advantages of fast learning speed, short detection time and high detection accuracy.

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备注/Memo

备注/Memo:
［收稿日期］ 2021-12-16
［基金项目］ 国家自然科学基金（61903129）
［第一作者］ 黄文聪（1977-），男，湖北武汉人，湖北工业大学副教授，研究方向为能源系统运行优化
更新日期/Last Update: 2022-10-25