Doctoral Dissertations
Cost allocation using intelligent agents for new transmission investment under electricity deregulation
Abstract
"Due to electrical power restructuring a dramatic change has been made to the generation and transmission sectors of the power industry. Rules and legislation are continuously changing. The gap between the transmission expansion need and the proposed construction of transmission is widening. The new paradigm for cost allocation suggests that parties who have the need and/or benefit from the new transmission investment should pay the costs. The socialization methods of the past have been shown to be unfair to some market and network participants. The decentralization of the cost allocation must be considered. To promote more competition, transmission has to be expanded or upgraded to remove congestion and market power. The cost allocation of new investment in transmission has to be recalculated. The locational marginal price is used to indicate the benefit for each player. The proposed method is based on agent-based game theory and is compared with traditional cost allocation methods. A real option analysis is applied to deal with future uncertainty factors"--Abstract, page iii.
Department(s)
Engineering Management and Systems Engineering
Degree Name
Ph. D. in Engineering Management
Publisher
University of Missouri--Rolla
Publication Date
Spring 2005
Pagination
x, 108 pages
Note about bibliography
Includes bibliographical references (pages 102-107).
Geographic Coverage
United States
Rights
© 2005 Jakapun Mepokee, All rights reserved.
Document Type
Dissertation - Citation
File Type
text
Language
English
Subject Headings
Electric power transmissionElectric power transmission -- Costs -- United StatesCost allocationGame theory -- Computer programsElectric utilities -- Deregulation -- United States
Thesis Number
T 8718
Print OCLC #
69930737
Recommended Citation
Mepokee, Jakapun, "Cost allocation using intelligent agents for new transmission investment under electricity deregulation" (2005). Doctoral Dissertations. 1617.
https://scholarsmine.mst.edu/doctoral_dissertations/1617
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