Thesis

A current-only faulted section identification scheme for power system protection

Downloadable Content

Download PDF
Creator
Rights statement
Awarding institution
  • University of Strathclyde
Date of award
  • 2025
Thesis identifier
  • T17384
Person Identifier (Local)
  • 202159121
Qualification Level
Qualification Name
Department, School or Faculty
Abstract
  • This thesis presents a faulted section identification scheme designed for modern distribution networks, which is applicable to power system protection and/ or to the emergent "fault location, isolation, and service restoration" (FLISR) set of functions (often also termed "distribution automation" or "distribution system automation"). The scheme relies solely on current measurements and employs a binary coded data exchange mechanism between measurement and processing locations that is used to compare the current angle and magnitude changes from pre- to during-fault conditions. The system can be implemented in distributed or centralised architectures. The scheme addresses many of the challenges arising from the increasing integration of distributed energy resources (DERs), which are described in detail in the thesis, and include reduced and variable system strength and short-circuit capacity ( or fault level), bi-directional power flows and protection-specific issues such as blinding and sympathetic tripping. The reliability, selectivity, and accuracy of the scheme have been validated through extensive non-real-time simulation in MATLAB/Simulink, as well as hardware-in-the-loop (HIL) testing using a real-time digital simulator (RTDS). Simulations cover a range of scenarios including variation in fault location, fault resistance, short-circuit level, and load conditions. The HIL results, which include actual processing hardware and communications links, confirmed the scheme's ability to meet the timing and performance requirements of contemporary distribution protection and monitoring systems. In the concluding section, a range of areas for future work is suggested.
Advisor / supervisor
  • Booth, Campbell
  • Hong, Qiteng
Resource Type
DOI

Relations

Items

Thumbnail Title Date Uploaded Visibility Actions
file details PDF of thesis T17384 2025-06-17 Public Download