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Detection and classification of short and long duration disturbances in power system
Joint Authors
Zayd, Malik Muhammad
Malik, Muhammad Usamah
Bhatti, Muhammad Sibtain
Razzaq, Hamid
Aslam, Muhammad Umayr
Source
Issue
Vol. 13, Issue 4 (31 Dec. 2017), pp.779-789, 11 p.
Publisher
Publication Date
2017-12-31
Country of Publication
Algeria
No. of Pages
11
Main Subjects
Abstract EN
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).
American Psychological Association (APA)
Zayd, Malik Muhammad& Malik, Muhammad Usamah& Bhatti, Muhammad Sibtain& Razzaq, Hamid& Aslam, Muhammad Umayr. 2017. Detection and classification of short and long duration disturbances in power system. Journal of Electrical Systems،Vol. 13, no. 4, pp.779-789.
https://search.emarefa.net/detail/BIM-792823
Modern Language Association (MLA)
Zayd, Malik Muhammad…[et al.]. Detection and classification of short and long duration disturbances in power system. Journal of Electrical Systems Vol. 13, no. 4 (2017), pp.779-789.
https://search.emarefa.net/detail/BIM-792823
American Medical Association (AMA)
Zayd, Malik Muhammad& Malik, Muhammad Usamah& Bhatti, Muhammad Sibtain& Razzaq, Hamid& Aslam, Muhammad Umayr. Detection and classification of short and long duration disturbances in power system. Journal of Electrical Systems. 2017. Vol. 13, no. 4, pp.779-789.
https://search.emarefa.net/detail/BIM-792823
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 788-789
Record ID
BIM-792823