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

Journal of Electrical Systems

Issue

Vol. 13, Issue 4 (31 Dec. 2017), pp.779-789, 11 p.

Publisher

Piercing Star House

Publication Date

2017-12-31

Country of Publication

Algeria

No. of Pages

11

Main Subjects

Electronic engineering

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