Date of Award

1-24-2024

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Electrical Engineering and Computer Science

Advisor(s)

Can Isik

Second Advisor

Tomislav Bujanovic

Keywords

Electric;Power;Systems;Transmission;Traveling;Waves

Abstract

Abstract The scope of this research is a case study of a specific population of data representing measurements and recordings of electromagnetic Traveling Waves (TW) launched on a high voltage transmission system. The theory behind employing sub-transient TW to extract system information has been published since 1939 but only recently made practical by modern day measuring, recording, and data storage devices with sampling rates of over 1 MHz. The data used in this research are measurements of real-world perturbations on a high voltage transmission line. The published data was made anonymous and available for academic research by National Grid. This research is consistent with the improvements sought in asset management, system modeling, grid safety, and resilience predicted to be essential to enable the successful transition of the electric power infrastructure to its future envisioned state. That future state being, to ensure reliable, efficient, and safe electrical energy is made available to all, while fully enabling the transition to diverse, distributed, clean and renewable, energy sources and consumption technologies. In this dissertation, we propose a new method of interpreting and extracting primary transmission system information from the measured and recorded data of system perturbation events. This work interprets the primary system TW as composed of a bandwidth of stimulus and response high frequency transient carrier signals that are modulated with system information. The system information is related to the electrical characteristics of the transmission lines, its components, and resulting boundary conditions acting on the carrier TWs as they travel the system. By interpreting the TWs in this way, we have extracted additional information from the same measured and recorded data previously used only in fault occurrence and location focused applications. The new interpretation of the primary TW as modulatable entities motivated our approach and methodology to extract information about the operational performance of the system from the measurements of these primary TW and to employ that information in what we call performance or health monitoring of the transmission system.

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Open Access

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