Partial discharge detection and identification based on chipless RFID system

• Main Author: Yang, Zhenning
• Other Authors: Muhammad Faeyz Karim
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/168287
• Institution: Nanyang Technological University

High voltage (HV) and medium voltage (MV) electrical assets, such as generators, transformers, and switchgears, are parts of critical power generation and transmission infrastructures for the power distribution system. Most of the failures of these assets are due to deterioration at electrical insulation. If early symptoms of the insulation degradation of these assets are not detected, they can lead to irreversible damage and require costly replacement. Partial discharges (PDs) caused by degraded electrical insulation usually begin as localized dielectric breakdowns within an asset, and therefore detection of PDs has been widely used as health monitoring of the monitored asset. The research presented in the thesis proposes a chipless RFID tag integrated with a PD sensing coil so that it serves to detect the PD signal, as well as to locate the source of PD. The compact inductive PD detecting coil is highly sensitive to PD emission in the near-field region and less vulnerable to ambient electromagnetic interference (EMI) outside its detection range. With each sensing coil linked to a chip-less RFID tag, each PD event will be associated with a unique ID that helps identify the PD source for monitoring of multiple assets at one site. The on-site PD monitoring system can be easily implemented by combining an interrogator/reader with these sensing coils and RFID tags.