An Independent Component Analysis Approach for Wide-Area Monitoring of Power System Disturbances

Jose de Jesus Nuiio Ay on; Jorge Luis Garcia Sanchez; Eduardo Salvador Banuelos Cabral; Julian Sotelo Castaiion; Maria Jose Rodriguez Roblero

首页> 外文期刊>Electric Power Components and Systems >An Independent Component Analysis Approach for Wide-Area Monitoring of Power System Disturbances

【24h】

An Independent Component Analysis Approach for Wide-Area Monitoring of Power System Disturbances

机译：电力系统干扰广域广域监测的独立分析方法

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Wide-area power system monitoring based on phasor measurement units allows collecting a set of physical variables for evaluating the system security and stability, as well as for detecting power system disturbances. However, trends, noise and non-Gaussian distribution in measurements are important challenges for carrying out the detection, localization and visualization of power system disturbances. In this paper, a methodology that combines independent component analysis with statistical indices for detecting and visualizing anomalous dynamic events from wide-area measurements is proposed. From the statistical indices, two charts are also proposed to provide a better understanding of the system disturbances. Finally, a set of simulated data obtained from a transient stability model of the New England/New York test system is used to demonstrate the effectiveness of the proposed technique.

机译：基于Phasor测量单元的广域电力系统监控允许收集一组物理变量，以评估系统安全性和稳定性，以及检测电力系统干扰。然而，测量中的趋势，噪声和非高斯分布是执行电力系统干扰的检测，本地化和可视化的重要挑战。本文提出了一种与统计指标相结合的方法，用于检测和可视化广域测量的异常动态事件。从统计指标，还提出了两个图表，以更好地了解系统干扰。最后，使用从新英格兰/纽约测试系统的瞬态稳定模型获得的一组模拟数据用于展示所提出的技术的有效性。

著录项

来源
《Electric Power Components and Systems》 |2020年第10期|615-627|共13页
作者
Jose de Jesus Nuiio Ay on; Jorge Luis Garcia Sanchez; Eduardo Salvador Banuelos Cabral; Julian Sotelo Castaiion; Maria Jose Rodriguez Roblero;
展开▼
作者单位

Department of Mechanical and Electrical Engineering CUCEI University of Guadalajara Guadalajara Mexico;

Department of Mechanical and Electrical Engineering CUCEI University of Guadalajara Guadalajara Mexico;

Department of Mechanical and Electrical Engineering CUCEI University of Guadalajara Guadalajara Mexico;

Department of Mechanical and Electrical Engineering CUCEI University of Guadalajara Guadalajara Mexico;

Department of Mechanical and Electrical Engineering CUCEI University of Guadalajara Guadalajara Mexico;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
wide-area monitoring; power system disturbances; non-Gaussian distribution; independent component analysis; principal component analysis; multivariate statistical indices;

机译：广域监测;电力系统干扰;非高斯分布;独立分量分析;主成分分析;多变量统计指标;

相似文献

外文文献
中文文献
专利

1. Wide-Area Monitoring of Power Systems Using Principal Component Analysis and$k$-Nearest Neighbor Analysis [J] . Lianfang Cai, Nina F. Thornhill, Stefanie Kuenzel, Power Systems, IEEE Transactions on . 2018,第5期

机译：使用主成分分析和 $ k $ -最近邻分析的电力系统广域监视
2. Wavelet-Based Disturbance Analysis for Power System Wide-Area Monitoring [J] . Gao W.Ning J. Smart Grid, IEEE Transactions on . 2011,第1期

机译：电力系统大范围监测的基于小波干扰分析
3. A novel radial basis function neural network principal component analysis scheme for PMU-based wide-area power system monitoring [J] . Guo Yuanjun, Li Kang, Yang Zhile, Electric power systems research . 2015,第octa期

机译：基于PMU的广域电力系统监测的径向基函数神经网络主成分分析新方案
4. Statistical Process Monitoring Using Independent Component Analysis Based Disturbance Separation Scheme [C] . Chi-Jie Lu, Tian-Shyug Lee, Chih-Chou Chiu IEEE International Joint Conference on Neural Networks . 2008

机译：基于独立分量分析的干扰分离方案的统计过程监控
5. Wide-area monitoring and recognition for power system disturbances using data mining and knowledge discovery (DMKD) theory. [D] . Ning, Jiaxin. 2010

机译：使用数据挖掘和知识发现（DMKD）理论对电力系统干扰进行广域监视和识别。
6. Development of On-Line Monitoring Systems for High Temperature Components in Power Plants [O] . Hongcai Zhang, Jiuhong Jia, Ning Wang, 2013

机译：发电厂高温部件在线监测系统的开发
7. Wide-area monitoring of power systems using principal component analysis and k-nearest neighbor analysis [O] . Cai, L, Thornhill, NF, Kuenzel, S, 2017

机译：使用主成分分析和k近邻分析对电力系统进行广域监测

An Independent Component Analysis Approach for Wide-Area Monitoring of Power System Disturbances

摘要

著录项

相似文献

相关主题

期刊订阅