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University of Tennessee at Chattanooga

Hardware implementation of an automatic adaptive centralized under frequency load shedding

Abstract

dc:description.abstract

Due to the shortcomings of the conventional Under Frequency Load Shedding UFLS, most researches develop an adaptive UFLS schemes. With the aid of new technology hardware that enables the implementation of Wide Area Monitoring Protection and Control (WAMPC) application, this gives the opportunity for using industrial grade hardware to implement, evaluate these schemes and, therefore, to validate the recent research findings for industrial use. This study implements a centralized adaptive UFLS algorithm using industry grade hardware such as Phasor Measurement Units (PMUs), Synchrophasor Vector Processor (SVP) that resembles real time system operation. The study examines disturbance effects on the frequency at different disturbance locations. Each time the algorithm decisions are able to restore system frequency to a safe level and improve voltage level at the load buses. Besides, the algorithm is able to distribute the amount of power to be shed differently with the disturbance locations.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Abd Elwahid, Sarra
Contributors dc:contributor
  • Eltom, Ahmed H.
  • Kobet, Gary; Ofoli, Abdul
  • College of Engineering and Computer Science

Subjects

dc:subject × 2

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/186
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1326

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Abd Elwahid, Sarra. Hardware implementation of an automatic adaptive centralized under frequency load shedding. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/186