Detection and Classification of Power Quality Disturbances Using Stockwell Transform and Rule Based Decision Tree

被引：0

作者：

Meena, Mahaveer ^{[1
]}

Mahela, Om Prakash ^{[2
]}

Kumar, Mahendra ^{[1
]}

Kumar, Neeraj ^{[1
]}

机构：

[1] RCERT, Jaipur, Rajasthan, India

[2] IIT Jodhpur, Jodhpur, Rajasthan, India

来源：

2018 INTERNATIONAL CONFERENCE ON SMART ELECTRIC DRIVES AND POWER SYSTEM (ICSEDPS) | 2018年

关键词：

Feature extraction; power quality disturbance; rule based decision tree; Stockwell transform; DECOMPOSITION;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This manuscript describes an approach based on Stockwell Transform and rule based decision tree for detection and classification of single stage power quality (PQ) disturbances. Power quality disturbances are generated in MATLAB software using mathematical relations in conformity with the IEEE Standard-1159. The single stage power quality disturbances like sag in voltage, swell in voltage, momentary interruption (MI), harmonics, impulsive transient (IT), oscillatory transient (OT) and notch are studied in the presented research work. Pure sine wave is taken as reference for detection of PQ disturbances. Various plots of signals with PQ disturbances have been obtained and features extracted from these disturbances are given as input to the rule based decision tree for classification purpose. Effectiveness of proposed algorithm is established by testing 30 data sets of each PQ events obtained by varying the parameters.

引用

页码：227 / 232

页数：6

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