Masters Theses
Abstract
Fairly allocating transmission cost to all users is becoming a more and more important problem with the deregulation of electric industry. Several allocation methods are reviewed; the use-of-system allocation methods are discussed in more detail in this thesis. Emphasis is put on the contrast of Power Flow Comparison (PFC) method and Generalized Generation Distribution Factors (GGDF) method. GGDF was originally developed for security evaluation, and then found useful to allocate transmission cost. This method is accepted in several papers. However, like other distribution factors, GGDF considers only real power flows. PFC method considers both real and reactive power flows. Example system shows that the two methods get nearly same cost allocation if only real power flow is considered, thus the two methods verify each other’s correctness by this result. With the consideration of reactive power flow, the PFC method gives reasonable cost shift among users and is more accurate in allocating transmission cost
Advisor(s)
Anderson, Max Darwin
Committee Member(s)
Crow, Mariesa
Pyron, Howard D.
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2000
Pagination
viii, 33 pages
Note about bibliography
Includes bibliographical references (pages 31-32).
Rights
© 2000 Zhijie Li, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Thesis Number
T 7851
Print OCLC #
45903061
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.
http://merlin.lib.umsystem.edu/record=b4511533~S5Recommended Citation
Li, Zhijie, "Allocation of transmission costs under deregulation" (2000). Masters Theses. 1997.
https://scholarsmine.mst.edu/masters_theses/1997
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Comments
The author is grateful for funding provided by Ameren Services (St. Louis) under their Targeted Research Projects and the Intelligent System Center (ISC) at UM--Rolla.