Detection and Classification of Short and Long Duration Disturbances in Power System

Detection and Classification of Short and Long Duration Disturbances in Power System

In this project, PQ analyzer is developed which depicts the detection and classification of short and long duration disturbances in power system. These disturbances comprising of sag, swell, interruption, undervoltage, and overvoltage. All these disturbances are analyzed by uninterruptedly monitorin...

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Bibliographic Details
Main Authors: Malik Muhammad Zaid, Muhammad Usama Malik, Muhammad Sibtain Bhatt, Hamid Razzaq, Muhammad Umair Aslam
Format: Article
Language:English
Published: ESRGroups 2017-12-01
Series:Journal of Electrical Systems
Subjects:
PQ Event Classifier
Detection and Classification of Disturbances
Personal Computer
Power Quality Analyzer
Waveform Monitoring
Online Access:http://journal.esrgroups.org/jes/papers/13_4_13.pdf
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spelling doaj-8881e109840247d29eceebf0d429bc252020-11-25T00:11:28ZengESRGroupsJournal of Electrical Systems1112-52091112-52092017-12-01134779789Detection and Classification of Short and Long Duration Disturbances in Power System Malik Muhammad Zaid0Muhammad Usama Malik1Muhammad Sibtain Bhatt2 Hamid Razzaq3Muhammad Umair Aslam4 Electrical Engineering, University of Engineering and Technology, Lahore, PakistanElectrical Engineering, University of Engineering and Technology, Taxila, Pakistan.Mechanical Engineering, International Islamic University, Islamabad, Pakistan Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan Electrical Engineering, University of Engineering and Technology, Lahore, PakistanIn this project, PQ analyzer is developed which depicts the detection and classification of short and long duration disturbances in power system. These disturbances comprising of sag, swell, interruption, undervoltage, and overvoltage. All these disturbances are analyzed by uninterruptedly monitoring of power system. This paper outlines the start time, end time, magnitude and waveform of disturbances. These detected disturbances are classified on the basis of their respective characteristics. The perceptions and classifications are accomplished by using Advanced Digital Signal Processor (ADSP-21369). The statistics of disturbance are stored precisely and accurately. The prototype is configured with the LabVIEW to receive and store all the data which is sent by the processor via UART interface (RS-232 protocol)..http://journal.esrgroups.org/jes/papers/13_4_13.pdfPQ Event ClassifierDetection and Classification of DisturbancesPersonal ComputerPower Quality AnalyzerWaveform Monitoring
collection DOAJ
language English
format Article
sources DOAJ
author Malik Muhammad Zaid
Muhammad Usama Malik
Muhammad Sibtain Bhatt
Hamid Razzaq
Muhammad Umair Aslam
spellingShingle Malik Muhammad Zaid
Muhammad Usama Malik
Muhammad Sibtain Bhatt
Hamid Razzaq
Muhammad Umair Aslam
Detection and Classification of Short and Long Duration Disturbances in Power System
Journal of Electrical Systems
PQ Event Classifier
Detection and Classification of Disturbances
Personal Computer
Power Quality Analyzer
Waveform Monitoring
author_facet Malik Muhammad Zaid
Muhammad Usama Malik
Muhammad Sibtain Bhatt
Hamid Razzaq
Muhammad Umair Aslam
author_sort Malik Muhammad Zaid
title Detection and Classification of Short and Long Duration Disturbances in Power System
title_short Detection and Classification of Short and Long Duration Disturbances in Power System
title_full Detection and Classification of Short and Long Duration Disturbances in Power System
title_fullStr Detection and Classification of Short and Long Duration Disturbances in Power System
title_full_unstemmed Detection and Classification of Short and Long Duration Disturbances in Power System
title_sort detection and classification of short and long duration disturbances in power system
publisher ESRGroups
series Journal of Electrical Systems
issn 1112-5209
1112-5209
publishDate 2017-12-01
description In this project, PQ analyzer is developed which depicts the detection and classification of short and long duration disturbances in power system. These disturbances comprising of sag, swell, interruption, undervoltage, and overvoltage. All these disturbances are analyzed by uninterruptedly monitoring of power system. This paper outlines the start time, end time, magnitude and waveform of disturbances. These detected disturbances are classified on the basis of their respective characteristics. The perceptions and classifications are accomplished by using Advanced Digital Signal Processor (ADSP-21369). The statistics of disturbance are stored precisely and accurately. The prototype is configured with the LabVIEW to receive and store all the data which is sent by the processor via UART interface (RS-232 protocol)..
topic PQ Event Classifier
Detection and Classification of Disturbances
Personal Computer
Power Quality Analyzer
Waveform Monitoring
url http://journal.esrgroups.org/jes/papers/13_4_13.pdf
work_keys_str_mv AT malikmuhammadzaid detectionandclassificationofshortandlongdurationdisturbancesinpowersystem
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AT hamidrazzaq detectionandclassificationofshortandlongdurationdisturbancesinpowersystem
AT muhammadumairaslam detectionandclassificationofshortandlongdurationdisturbancesinpowersystem
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