dc.contributor.author	Bergey, Paul K.	en
dc.contributor.committeechair	Ragsdale, Cliff T.	en
dc.contributor.committeemember	Major, Raymond L.	en
dc.contributor.committeemember	Rees, Loren P.	en
dc.contributor.committeemember	Sumichrast, Robert T.	en
dc.contributor.committeemember	Matheson, Lance A.	en
dc.contributor.department	Management Science	en
dc.date.accessioned	2014-03-14T20:11:01Z	en
dc.date.adate	2000-04-28	en
dc.date.available	2014-03-14T20:11:01Z	en
dc.date.issued	2000-04-21	en
dc.date.rdate	2001-04-28	en
dc.date.sdate	2000-04-27	en
dc.description.abstract	Due to a variety of political, economic, and technological factors, many national electricity industries around the globe are transforming from non-competitive monopolies with centralized systems to decentralized operations with competitive business units. This process, commonly referred to as deregulation (or liberalization) is driven by the belief that a monopolistic industry fails to achieve economic efficiency for consumers over the long run. Deregulation has occurred in a number of industries such as: aviation, natural gas, transportation, and telecommunications. The most recent movement involving the deregulation of the electricity marketplace is expected to yield consumer benefit as well. To facilitate deregulation of the electricity marketplace, competitive business units must be established to manage various functions and services independently. In addition, these business units must be given physical property rights for certain parts of the transmission and distribution network in order to provide reliable service and make effective business decisions. However, partitioning a physical power grid into economically viable districts involves many considerations. We refer to this complex problem as the electrical power districting problem. This research is intended to identify the necessary and fundamental characteristics to appropriately model and solve an electrical power districting problem. Specifically, the objectives of this research are five-fold. First, to identify the issues relevant to electrical power districting problems. Second, to investigate the similarities and differences of electrical power districting problems with other districting problems published in the research literature. Third, to develop and recommend an appropriate solution methodology for electrical power districting problems. Fourth, to demonstrate the effectiveness of the proposed solution method for a specific case of electric power districting in the Republic of Ghana, with data provided by the World Bank. Finally, to develop a decision support system for the decision makers at the World Bank for solving Ghana's electrical power districting problem.	en
dc.description.degree	Ph. D.	en
dc.identifier.other	etd-04272000-18220009	en
dc.identifier.sourceurl	http://scholar.lib.vt.edu/theses/available/etd-04272000-18220009/	en
dc.identifier.uri	http://hdl.handle.net/10919/27347	en
dc.language.iso	en	en
dc.publisher	Virginia Tech	en
dc.relation.haspart	ch1.pdf	en
dc.relation.haspart	ch3.pdf	en
dc.relation.haspart	etd.pdf	en
dc.relation.haspart	ch2.pdf	en
dc.relation.haspart	toc.pdf	en
dc.relation.haspart	acknowledgements.pdf	en
dc.relation.haspart	bib.pdf	en
dc.relation.haspart	dedication.pdf	en
dc.relation.haspart	ch4.pdf	en
dc.relation.haspart	appA.pdf	en
dc.relation.haspart	appB.pdf	en
dc.relation.haspart	appC.pdf	en
dc.relation.haspart	appD.pdf	en
dc.relation.haspart	appE.pdf	en
dc.relation.haspart	cv.pdf	en
dc.relation.haspart	ch5.pdf	en
dc.relation.haspart	abstract.pdf	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	Genetic Algorithms	en
dc.subject	Simulated Annealing	en
dc.subject	Electric Utility Deregulation	en
dc.subject	Decision Support Systems	en
dc.subject	Multi-Criteria Optimization	en
dc.subject	Districting	en
dc.title	A Decision Support System for the Electrical Power Districting Problem	en
dc.type	Dissertation	en
thesis.degree.discipline	Management Science	en
thesis.degree.grantor	Virginia Polytechnic Institute and State University	en
thesis.degree.level	doctoral	en
thesis.degree.name	Ph. D.	en

A Decision Support System for the Electrical Power Districting Problem

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