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Probability of a feasible flow in a stochastic transportation network

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TitleInfo
Title
Probability of a feasible flow in a stochastic transportation network
Name (type = personal)
NamePart (type = family)
Fanelli
NamePart (type = given)
Santino L.
NamePart (type = date)
1982-
DisplayForm
Santino Fanelli
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Prekopa
NamePart (type = given)
Andras
DisplayForm
Andras Prekopa
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Boros
NamePart (type = given)
Endre
DisplayForm
Endre Boros
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Jeong
NamePart (type = given)
Myong K
DisplayForm
Myong K Jeong
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2012
DateOther (qualifier = exact); (type = degree)
2012-01
CopyrightDate (qualifier = exact)
2012
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Subject (authority = RUETD)
Topic
Operations Research
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_3729
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electronic resource
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application/pdf
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Extent
vi, 146 p. : ill.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Santino L. Fanelli
Abstract (type = abstract)
Electricity is one of the main sources of energy relied upon throughout the world today to power our homes, businesses, and other needs. The electric utility industry is the driving force behind the provision of electric service, responsible for generating and delivering electric power to end use customers on a reliable basis. In order to meet this
responsibility, consideration needs to be given to both the supply of and demand for electricity, along with the available capacity through which to deliver it. A resulting fundamental objective of the electric utility industry, then, is to balance supply with customer demand by maintaining sufficient generating and delivery capacity. The
probability by which this objective can be accomplished lends itself to representation as a stochastic transportation network. Determining this probability is the primary problem addressed in this paper. The general construct of this paper is largely a continuation of On The Probability Of A Feasible Flow In A Stochastic Transportation Network (Prékopa and Boros, 1989). However, it has been updated to incorporate alternative methods to solve the problem and also include practical examples based on actual data from the industry. This paper will seek to accomplish the following: – Section 1 provides a general introduction and overview of the electric utility industry. This section includes statistics and additional details on all aspects of the electric utility industry, a discussion of upcoming challenges currently facing
the industry, and a brief overview of a large electric utility company in the United States. – Section 2 more formally addresses the problem of determining the likelihood that the electric utility has sufficient generating and delivery capacity available to satisfy customer demand by formulating it as a stochastic transportation network. The general formulation is based on the results of a well-established theorem and is improved by incorporating a procedure to increase the efficiency by which the problem can be solved. – Section 3 introduces several methods that can be used to solve the problem and focuses specifically on three of them that will be incorporated later on in the paper. A description of each applicable method is provided, along with some illustrative examples. – Sections 4, 5, and 6 are numerical examples of the problem. All three examples are based on the same general formulation and make use of actual data from the electric utility industry. The underlying assumptions, though, are different in each one, thus providing a range of sensitivity around the results. Each numerical example is solved using all three methods described in Section 3. – Section 7 provides a summary of the results from the numerical examples and
some overall conclusions.
Subject (authority = ETD-LCSH)
Topic
Stochastic systems
Subject (authority = ETD-LCSH)
Topic
Electric utilities—Management
Subject (authority = ETD-LCSH)
Topic
Operations research
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064088
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T34748W7
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Fanelli
GivenName
Santino
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2011-12-14 12:28:33
AssociatedEntity
Name
Santino Fanelli
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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