Committee Chair

Karrar, Abdelrahman A.

Committee Member

Eltom, Ahmed H.; Kobet, Gary L.; Ahmed, Raga

Department

Dept. of Electrical Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

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

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

12-2018

Subject

Electric power system stability; Electric power systems -- Control

Keyword

Voltage stability; Voltage collapse; Voltage collapse point; Voltage stability index; P-index; Blackout

Document Type

Masters theses

Extent

ix, 67 leaves

Language

English

Rights

Under copyright.

License

http://creativecommons.org/licenses/by-nc-nd/3.0/

Date Available

1-1-2020

Available for download on Wednesday, January 01, 2020

Share

COinS