en Artificial Intelligence Techniques Artificial Intelligence Techniques Only for Articles of ICEMD2024 Only for Articles of ICEMD2024 <span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">This paper introduces an improved multi-conductor transmission line (MTL) model for transformers&#39; 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&rsquo;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.</span></span> Frequency-Dependent Losses, High-Frequency Modeling, MTL Model, Particle Swarm Optimization, Transformer Diagnostics. 160 172 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3907-1&slc_lang=en&sid=1 Ali Esmaeilvandi ali.esmaeilvandi@ut.ac.ir 1800319475328460017415 1800319475328460017415 No School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran. Mohammad Hamed Samimi m.h.samimi@ut.ac.ir 1800319475328460017416 1800319475328460017416 Yes School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran. Amir Abbas Shayegani Akmal shayegani@ut.ac.ir. 1800319475328460017417 1800319475328460017417 No School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran.