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Transmission line sag and magnetic field analysis with sag parabolic equations and Biot-Savart law

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 15 No. 1 (2025)

DOI
10.11591/ijece.v15i1.pp76-88
ISSN
2722-2578, 2088-8708
Published
2025-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This study presents a novel approach to enhance the precision of calculating sag and magnetic fields beneath overhead transmission lines. The Biot-Savart law is integrated with parabolic equations to assign multiple magnetic field sources to each conductor, resulting in improved prediction accuracy. Addressing oversimplifications in traditional models improves the analysis of transmission lines in real-world scenarios. An analysis was performed using MATLAB and Simulink to validate the effectiveness and broad applicability of different configurations. The results demonstrated a significant improvement in precision compared to traditional methods, indicating that this approach has the potential to establish new benchmarks in the field. This methodology makes significant contributions to electromagnetic studies, offering engineers a reliable tool for designing transmission systems that are both safer and more efficient. This advancement in electrical engineering greatly improves transmission network performance by enhancing sag and magnetic field prediction accuracy. This aids in better maintenance planning and reduces outage risks, resulting in more efficient operations and improved overall performance.

Collaboration network of the authors

33 authors · 117 co-authorship links · 24 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Tun Hussein Onn University of Malaysia
  • University of Technology Malaysia
  • Cardiff University
  • Universiti Sains Malaysia
  • Universiti Putra Malaysia
  • Curtin University
  • University of Engineering and Technology Taxila
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
M. A. M. PiahUniversity of Technology Malaysia3
M. H. M. SharifTun Hussein Onn University of Malaysia3
H. AhmadTun Hussein Onn University of Malaysia3
Fatin Liyana MuhamedinUniversity of Technology Malaysia2
Nasir A. Al-geelaniAffiliation unknown2
Ibrahim SaehUniversity of Technology Malaysia2
N. F. KasriUniversity of Technology Malaysia2
Abderrahmane Manu HaddadCardiff University2
B.C. KokTun Hussein Onn University of Malaysia2
H. RosliTun Hussein Onn University of Malaysia2
Mohanad IsmailTun Hussein Onn University of Malaysia2
N.A.M. HasniTun Hussein Onn University of Malaysia2
Mohd Syahidie KamaruddinTun Hussein Onn University of Malaysia2
S.S. RidzwanTun Hussein Onn University of Malaysia2
Rizwanullah KhanTun Hussein Onn University of Malaysia2
Norhafiz B. AzisUniversiti Putra Malaysia2
Salem Mgammal Al-AmeriCurtin University2
Asjad AliUniversity of Engineering and Technology Taxila2
H.M. LuqmanTun Hussein Onn University of Malaysia1
Irshad UllahTun Hussein Onn University of Malaysia1
MNR BaharomTun Hussein Onn University of Malaysia1
Nor Aishah MuhammadUniversiti Sains Malaysia1
Qamarul Ezani KamarudinTun Hussein Onn University of Malaysia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Transmission line sag and magnetic field analysis with sag parabolic equations and Biot-Savart law</dc:title><dc:creator>Ahsan, Matiullah</dc:creator><dc:creator>Baharom, Md Nor Ramdon</dc:creator><dc:creator>Zainal, Zainab</dc:creator><dc:creator>Hassan, Omar Abu</dc:creator><dc:creator>Hanim, Faridah</dc:creator><dc:creator>Kamarudin, Saufi</dc:creator><dc:creator>Abd Rahman, Rahisham</dc:creator><dc:creator>Yousof, Mohd Fairouz Mohd</dc:creator><dc:creator>Jamail, Nor Akmal Mohd</dc:creator><dc:creator>Othman, Nordiana Azlin</dc:creator><dc:description>&lt;jats:p&gt;This study presents a novel approach to enhance the precision of calculating sag and magnetic fields beneath overhead transmission lines. The Biot-Savart law is integrated with parabolic equations to assign multiple magnetic field sources to each conductor, resulting in improved prediction accuracy. Addressing oversimplifications in traditional models improves the analysis of transmission lines in real-world scenarios. An analysis was performed using MATLAB and Simulink to validate the effectiveness and broad applicability of different configurations. The results demonstrated a significant improvement in precision compared to traditional methods, indicating that this approach has the potential to establish new benchmarks in the field. This methodology makes significant contributions to electromagnetic studies, offering engineers a reliable tool for designing transmission systems that are both safer and more efficient. This advancement in electrical engineering greatly improves transmission network performance by enhancing sag and magnetic field prediction accuracy. This aids in better maintenance planning and reduces outage risks, resulting in more efficient operations and improved overall performance.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2025-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v15i1.pp76-88</dc:identifier><dc:identifier>10.11591/ijece.v15i1.pp76-88</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 15 No 1 (2025); 76</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/36228/17912</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>