Committee Chair

Eltom, Ahmed H.

Committee Member

Karrar, Abdelrahman A.; Kobet, Gary L.

Department

Dept. of Electrical Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

The knowledge of the critical loading point of a power system is essential to assess its voltage stability condition. This point is traditionally obtained through continuation power flows which are relatively accurate but requires a considerable amount of processing time. In this work, the search for the critical loading point of a certain power system is formulated as a constrained optimization problem which is solved using a robust scheme known as the Dog-leg Trust Region. This technique is mainly characterized by its reliability and fast convergence as it makes advantage of the merits of classical optimization techniques and gets rid of their limitations. The proposed method was examined on several test systems namely the IEEE14, IEEE39, IEEE57, and IEEE118-bus systems. Besides successfully identifying the maximum loading point of these systems the algorithm achieved a considerable saving in processing time when compared to the continuation power flow analysis of PSAT.

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

8-2017

Subject

Electric power distribution

Keyword

Collapse point; Optimization formulation

Document Type

Masters theses

DCMI Type

Text

Extent

vii, 71 leaves

Language

English

Rights

https://rightsstatements.org/page/InC/1.0/?language=en

License

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

Date Available

8-31-2018

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