The application of genetic algorithms to identify the worst credible states in a bulk power system
type: CreativeWork
description: "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.
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.
author: Paenyoorat, Prasert
keywords: Composite system reliability, Electrical and Computer Engineering
date published: 2016-02-10T08:00:00Z
date modified: 2026-07-24T03:18:50Z
provider: Missouri University of Science and Technology
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Missouri--Rolla