Open access Jurnal SINTA 1
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)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2025-02-01
- Publisher
- Institute of Advanced Engineering and Science
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-author | Organisation | Joint articles |
|---|---|---|
| M. A. M. Piah | University of Technology Malaysia | 3 |
| M. H. M. Sharif | Tun Hussein Onn University of Malaysia | 3 |
| H. Ahmad | Tun Hussein Onn University of Malaysia | 3 |
| Fatin Liyana Muhamedin | University of Technology Malaysia | 2 |
| Nasir A. Al-geelani | Affiliation unknown | 2 |
| Ibrahim Saeh | University of Technology Malaysia | 2 |
| N. F. Kasri | University of Technology Malaysia | 2 |
| Abderrahmane Manu Haddad | Cardiff University | 2 |
| B.C. Kok | Tun Hussein Onn University of Malaysia | 2 |
| H. Rosli | Tun Hussein Onn University of Malaysia | 2 |
| Mohanad Ismail | Tun Hussein Onn University of Malaysia | 2 |
| N.A.M. Hasni | Tun Hussein Onn University of Malaysia | 2 |
| Mohd Syahidie Kamaruddin | Tun Hussein Onn University of Malaysia | 2 |
| S.S. Ridzwan | Tun Hussein Onn University of Malaysia | 2 |
| Rizwanullah Khan | Tun Hussein Onn University of Malaysia | 2 |
| Norhafiz B. Azis | Universiti Putra Malaysia | 2 |
| Salem Mgammal Al-Ameri | Curtin University | 2 |
| Asjad Ali | University of Engineering and Technology Taxila | 2 |
| H.M. Luqman | Tun Hussein Onn University of Malaysia | 1 |
| Irshad Ullah | Tun Hussein Onn University of Malaysia | 1 |
| MNR Baharom | Tun Hussein Onn University of Malaysia | 1 |
| Nor Aishah Muhammad | Universiti Sains Malaysia | 1 |
| Qamarul Ezani Kamarudin | Tun Hussein Onn University of Malaysia | 1 |
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.