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University of Tennessee at Chattanooga

Improved computations of the voltage collapse point using the P-index

Abstract

dc:description.abstract

Online voltage stability assessment of power system is important to ensure reliability and security. Over the years, many voltage monitoring indices have been documented in the literature. These indices are designed to quantify proximity to voltage collapse. However, they all have inaccuracies when predicting the voltage collapse point. A recent research project resulted in a new robust voltage stability monitoring tool called the P-index. A method that utilizes linear approximation of Voltage-Load relationship was introduced alongside the P-index, providing enhanced precision compared to most recognized indices. However, this method generates a high level of inaccuracy because the actual Voltage-Load behavior in general is non-linear, but rather more complex. This study proposed two new models that take into account the nonlinearity of Voltage-Load relationship, providing an enhanced representation of its complexity. Moreover, these models have a higher accuracy in predicting voltage collapse points than the linear method.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga
Year dc:date.available
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mohammed, Siddig
Contributors dc:contributor
  • Karrar, Abdelrahman A.
  • Eltom, Ahmed H.; Kobet, Gary L.; Ahmed, Raga
  • 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/575
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1731

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

Mohammed, Siddig. Improved computations of the voltage collapse point using the P-index. University of Tennessee at Chattanooga, 2020. https://scholar.utc.edu/theses/575