Paper Info
Title
PQ Monitoring System for Real-Time Detection and Classification of Disturbances in a Single-Phase Power System
Abstract
This paper presents a system for detection and classification of power quality (PQ) voltage disturbances. The proposed system applies the following methods to detect and classify PQ disturbances: digital filtering and mathematical morphology are used to detect and classify transients and waveform distortions, whereas for short- and long-duration disturbances (such as sags, swells, and interruptions), the analysis of the root-mean-square (RMS) value of the voltage is employed. The proposed combined approach identifies the type of disturbance and its parameters such as time localization, duration, and magnitude. The proposed system is suitable for real-time monitoring of the power system and implementation on a digital signal processor (DSP).
Year
DOI
Venue
2008
10.1109/TIM.2008.925345
Instrumentation and Measurement, IEEE Transactions
Keywords
Field
DocType
digital filters,power supply quality,power system faults,power system measurement,power system transients,PQ monitoring,digital filtering,digital signal processor,mathematical morphology,power quality,root-mean-square value,single-phase power system,waveform distortions,Digital filters,disturbance detection,morphological operation,power quality (PQ) assessment,power system monitoring,power system transients
Digital signal processing,Digital filter,Control theory,Digital signal processor,Voltage,Waveform,Electric power system,Filter (signal processing),Control engineering,Electronic engineering,Mathematics,Single-phase electric power
Journal
Volume
Issue
ISSN
57
8
0018-9456
Citations 
PageRank 
References 
17
1.57
3
Authors
4
Name
Order
Citations
PageRank
Tomás Radil1455.28
Pedro M. Ramos211517.91
Fernando M. Janeiro3476.74
Cruz Serra, A.4182.19