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Online Identification of Distribution Line Parameters by PMUs under Accuracy, Positive Sequence, and Noise Considerations
Joint Authors
Abido, Mohammad A.
Al Khabbaz, Mustafa M.
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper proposes an inaccuracy mitigation measure to reduce the error associated with distribution line parameters identification.
Additionally, it introduces the concept of positive sequence quantities for determining the line resistance, reactive inductance, and shunt admittance.
The positive sequence-based analysis is required for asymmetrical related studies such as unbalanced fault analysis.
The paper, also, includes the consideration of noisy distribution networks.
It compares the performance of three line parameters identification techniques by using different statistical measures.
A total of 12,960 different case studies are simulated and analyzed under six main loading scenarios and four categories with changing line parameters.
The line parameters are calculated online using voltage and current signals obtained from phasor measurement units (PMUs) placed at the line two terminals.
Finally, the study outcomes and the associated recommendations have been summarized for future works considerations.
American Psychological Association (APA)
Al Khabbaz, Mustafa M.& Abido, Mohammad A.. 2018. Online Identification of Distribution Line Parameters by PMUs under Accuracy, Positive Sequence, and Noise Considerations. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1184555
Modern Language Association (MLA)
Al Khabbaz, Mustafa M.& Abido, Mohammad A.. Online Identification of Distribution Line Parameters by PMUs under Accuracy, Positive Sequence, and Noise Considerations. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1184555
American Medical Association (AMA)
Al Khabbaz, Mustafa M.& Abido, Mohammad A.. Online Identification of Distribution Line Parameters by PMUs under Accuracy, Positive Sequence, and Noise Considerations. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1184555
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184555