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

"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.

Name thesis:degree_name

Ph. D. in Electrical Engineering

Grantor

University of Missouri--Rolla

Year dc:date.available

2016

Author dc:creator

• Paenyoorat, Prasert

• Composite system reliability
• Electrical and Computer Engineering

Repository record dc:identifier

https://scholarsmine.mst.edu/doctoral_dissertations/1705

OAI identifier oai:identifier

oai:scholarsmine.mst.edu:doctoral_dissertations-2707