The application of genetic algorithms to identify the worst credible states in a bulk power system
Keywords and Phrases
Composite system reliability
"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, leaf iii.
Stanek, Eldon Keith
Chowdhury, Badrul H.
Madria, Sanjay Kumar
Electrical and Computer Engineering
Ph. D. in Electrical Engineering
University of Missouri--Rolla
xii, 133 leaves
© 2006 Prasert Paenyoorat, All rights reserved.
Dissertation - Citation
Library of Congress Subject Headings
Electric power distribution -- Reliability
Electric power system stability
Electric power systems -- Quality control
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5946785~S5
Paenyoorat, Prasert, "The application of genetic algorithms to identify the worst credible states in a bulk power system" (2006). Doctoral Dissertations. 1705.
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