Classification of power quality events - A review

被引：152

作者：

Saini, Manish Kumar ^{[1
]}

Kapoor, Rajiv ^{[2
]}

机构：

[1] Deenbandhu Chhotu Ram Univ Sci & Technol, Dept Elect Engn, Sonepat, India

[2] Delhi Technol Univ, Elect & Commun Engn Dept, New Delhi, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2012年 / 43卷 / 01期

关键词：

Power quality; Signal processing tools; Intelligence techniques; TIME-FREQUENCY REPRESENTATIONS; KALMAN FILTERING APPROACH; DISTURBANCE CLASSIFICATION; S-TRANSFORM; EXPERT-SYSTEM; AUTOMATIC CLASSIFICATION; WAVELET TRANSFORM; DATA-COMPRESSION; PART; FEATURE-EXTRACTION;

D O I：

10.1016/j.ijepes.2012.04.045

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Power quality (PQ) interest has increasingly evolved over the past decade. The paper surveys the application of signal processing, intelligent techniques and optimization techniques in PQ analysis. This paper carries out a comprehensive review of articles that involves a comprehensive study of signal processing techniques used for PQ analysis. Within this context intelligent techniques such as fuzzy logic, neural network and genetic algorithm as well as their fusion are reviewed. Tabular presentation (i.e. highlighting the important techniques) has also been provided for comprehensive study. Although this review cannot be collectively exhaustive, it may be considered as a valuable guide for researchers who are interested in the domain of PQ and wish to explore the opportunities offered by these techniques for further improvement in the field of PQ. Crown Copyright (C) 2012 Published by Elsevier Ltd. All rights reserved.

引用

页码：11 / 19

页数：9

共 149 条

[11]

[Anonymous], 2006, 2006 IEEEPES TRANSMI, DOI DOI 10.1109/TDCLA.2006.311552

[12] Support vector machine for classification of voltage disturbances [J].

Axelberg, Peter G. V. ;

Gu, Irene Yu-Hua ;

Bollen, Math H. J. .

IEEE TRANSACTIONS ON POWER DELIVERY, 2007, 22 (03) :1297-1303

[13] A dependency model based approach for identifying and evaluating power quality problems [J].

Azam, MS ;

Tu, F ;

Pattipati, KR ;

Karanam, R .

IEEE TRANSACTIONS ON POWER DELIVERY, 2004, 19 (03) :1154-1166

[14] Automatic detection and analysis of voltage events in power systems [J].

Barros, Julio ;

Perez, Enrique .

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2006, 55 (05) :1487-1493

[15] Power quality time series data mining using S-transform and fuzzy expert system [J].

Behera, H. S. ;

Dash, P. K. ;

Biswal, B. .

APPLIED SOFT COMPUTING, 2010, 10 (03) :945-955

[16] Detection and classification of power quality disturbances using S-transform and modular neural network [J].

Bhende, C. N. ;

Mishra, S. ;

Panigrahi, B. K. .

ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (01) :122-128

[17] Power signal classification using dynamic wavelet network [J].

Biswal, B. ;

Dash, P. K. ;

Panigrahi, B. K. ;

Reddy, J. B. V. .

APPLIED SOFT COMPUTING, 2009, 9 (01) :118-125

[18] Non-stationary power signal processing for pattern recognition using HS-transform [J].

Biswal, B. ;

Dash, P. K. ;

Panigrahi, B. K. .

APPLIED SOFT COMPUTING, 2009, 9 (01) :107-117

[19] A hybrid ant colony optimization technique for power signal pattern classification [J].

Biswal, B. ;

Dash, P. M. ;

Mishra, S. .

EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (05) :6368-6375

[20] Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization [J].

Biswal, Birendra ;

Dash, P. K. ;

Panigrahi, B. K. .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (01) :212-220

← 1 2 3 4 5 6 7 8 9 10 →