The application of genetic algorithms to identify the worst credible states in a bulk power system

Author

Prasert Paenyoorat

Keywords and Phrases

Composite system reliability

Abstract

"This research project presents the application of the genetic algorithm to identify the worst credible states in a bulk power system which is very important to engineers who are planning and operating the system. Contingency analysis which is the classical method is applied to analyze all possible states when one to three components is the system are removed or failed at a time"--Abstract, page iii.

Advisor(s)

Stanek, Eldon Keith

Committee Member(s)

Chowdhury, Badrul H.
Madria, Sanjay Kumar
Acar, Levent
Crow, Mariesa

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2006

Pagination

xii, 133 pages

Note about bibliography

Includes bibliographical references (pages 128-132).

Rights

© 2006 Prasert Paenyoorat, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Subject Headings

Electric power distribution -- Reliability
Electric power system stability
Electric power systems -- Quality control

Thesis Number

T 9015

Print OCLC #

168182518

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

Recommended Citation

Paenyoorat, Prasert, "The application of genetic algorithms to identify the worst credible states in a bulk power system" (2006). Doctoral Dissertations. 1705.
https://scholarsmine.mst.edu/doctoral_dissertations/1705