Dissertation Title: Conventional vs. Non-Conventional Instrument Transformers: A Study of Evolving Technologies in Power Systems
When: July 31, 2025 (01:00 PM)
Where: Simrall 228 or Online https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZjBiZDAyOGItZWZkMS00ZmE4LTkxOGMtNzNhOGIxM2RkMzhk%40thread.v2/0?context=%7b%22Tid%22%3a%22ed51dbb0-af86-45a2-9c97-73fb3935df17%22%2c%22Oid%22%3a%22b85e70fc-4e76-4181-8341-27f1cc53a049%22%7d
Candidate: MD Rashid Hussain
Degree: Doctor of Philosophy in Electrical & Computer Engineering
Committee Members: Dr. David Archies Wallace, Dr. Ryan Green, Dr. Xin Fang, Dr. Masoud Karimi
Abstract:
This study examines the evolving technologies of conventional and non-conventional current and voltage transformers (CTs and VTs) and their role in shaping modern power systems. Conventional CTs and VTs have been fundamental to power measurement, protection, and control in traditional electrical grids. However, they face limitations in modern dynamic systems due to issues such as inaccuracy, mechanical stress, and sensitivity to environmental factors, which reduce their effectiveness in high-precision and flexible applications.
Non-conventional CTs and VTs, such as optical current transformers and capacitive voltage transformers, offer significant advantages in terms of accuracy, reduced size, and digital compatibility, making them ideal for applications in smart grids and other advanced power systems. Through a comprehensive experimental analysis, this research compares the thermal performance, accuracy, load-handling capabilities, and adaptability of both conventional and non-conventional transformers. The results demonstrate that while conventional CTs and VTs continue to offer reliability in certain settings, they struggle to meet the demands of modern power systems. Non-conventional transformers, while promising in terms of performance, face challenges in integration, calibration, and long-term durability within existing infrastructure.
This study highlights the need for further research to address these challenges, focusing on dynamic testing, improved calibration methods, and enhanced durability, to support the future of power systems requiring higher accuracy, efficiency, and adaptability.
