Volume 22, Issue 1 (March 2026)                   IJEEE 2026, 22(1): 3818-3818 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Esmaeilvandi A, Samimi M H, Shayegani Akmal A A. Improved Multi-Conductor Transmission Line Modeling of Transformer to Study Frequency Response. IJEEE 2026; 22 (1) :3818-3818
URL: http://ijeee.iust.ac.ir/article-1-3818-en.html
Abstract:   (69 Views)
This paper introduces an improved multi-conductor transmission line (MTL) model for transformers' high-frequency transient and frequency response analysis, overcoming limitations in traditional models that fail to capture complex electromagnetic interactions during high-frequency events, such as lightning strikes and switching operations. The model accurately reflects real-world transformer behaviors under transient conditions by integrating particle swarm optimization (PSO) for efficient parameter estimation and incorporating frequency-dependent losses. The combined use of PSCAD and Python minimizes computational overhead, enabling high-fidelity simulations closely aligned with experimental transformer data. Validation against real transformer measurements demonstrates the model’s reliability in capturing high-frequency responses, essential for transformer diagnostics. This novel approach offers a practical tool for studying transformer frequency response analysis, which is an important tool in transformer diagnosis.
Full-Text [PDF 1262 kb]   (20 Downloads)    
Type of Study: Only for Articles of ICEMD2024 | Subject: Artificial Intelligence Techniques
Received: 2025/03/15 | Revised: 2025/10/04 | Accepted: 2025/07/29

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.