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University of Tennessee at Chattanooga

Decoupling power network equations for real-time computing applications on a personal computer

Abstract

dc:description.abstract

This research develops and implements a method for decoupling real-time power networks using general-purpose personal computers. The industry of real-time simulation of power networks is mature, with few prominent players dominating the market. The implementation, however, is limited to specialized high-end hardware and software. This endeavor serves researchers and small-scale users interested in investigating real-time applications without making a significant investment. The methodology sheds additional light on the inner workings of real-time computing, particularly parallel processing via approaches like those published in scientific papers. The described method can be implemented on a PC with multiple cores using relatively few resources other than MATLAB/Simulink and a C++ development environment. The method was first evaluated using the IEEE 13 bus system, then implemented on the IEEE 123 bus system. It was found to require three processing cores to avoid overruns, compared to prior attempts on dedicated real-time hardware, which needed five cores.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga
Year dc:date.available
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Taha, Rua
Contributors dc:contributor
  • Karrar, Abdelrahman A.
  • Eltom, Ahmed H.; Disfani, Vahid R.
  • 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/735
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1905

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

Taha, Rua. Decoupling power network equations for real-time computing applications on a personal computer. University of Tennessee at Chattanooga, 2022. https://scholar.utc.edu/theses/735