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Selling smart with microgrid expansion and data analysis: a case study of the Rutgers Busch and Livingston microgrid

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TitleInfo
Title
Selling smart with microgrid expansion and data analysis: a case study of the Rutgers Busch and Livingston microgrid
Name (type = personal)
NamePart (type = family)
Baber
NamePart (type = given)
Kelly
NamePart (type = date)
1996
DisplayForm
Kelly Baber
Role
RoleTerm (authority = RULIB); (type = text)
author
Name (type = personal)
NamePart (type = family)
Muller
NamePart (type = given)
Michael R
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Michael R Muller
Affiliation
Advisory Committee
Role
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chair
Name (type = personal)
NamePart (type = family)
Baruh
NamePart (type = given)
Haim
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Haim Baruh
Affiliation
Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Diez
NamePart (type = given)
Francisco Javier
DisplayForm
Francisco Javier Diez
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
School of Graduate Studies
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school
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Text
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theses
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2020
DateOther (type = degree); (qualifier = exact); (encoding = w3cdtf)
2020-10
Language
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English
Abstract
The deteriorating electrical grid has long been a focus and concern for the Energy Sector. Although a complete overhaul of the electrical infrastructure would be beneficial, it is not currently feasible. This has led to a rigorous search for alternative solutions to the growing grid failures. A unique solution comes in the form of analysis focusing on remedying current grid congestion obstructions with the prospect of incorporating existing microgrid systems for economic benefit. Two distinct Cases are analyzed – the former pertains to inserting new generation into the electrical grid at points with strong congestion percentages within the LMP (Locational Marginal Pricing), while the latter uses an existing microgrid system and expands upon its current generation. The sample microgrid system utilized for analysis was the Rutgers Busch & Livingston Microgrid consisting of a cogeneration plant and multiple photovoltaic solar systems. The strong differentiator between the two Cases is that the first prioritizes economic benefit entirely while the second initially satisfies the internal microgrid load before seeking financial profits. A congestion pricing model was derived to demonstrate the fluctuations in price with respect to new generation. Data from a variety of existing nodes within the PJM grid was studied in combination with the Rutgers microgrid historical data. It was found that economic success was most prevalent at the node with a positive congestion pricing percentage above 2%. This was consistent in both Cases despite the second case having a primary focus on internal fulfillment. The congestion pricing was the principal influencer in the financial success of the new generation incorporation.
Subject (authority = local)
Topic
Electrical grid
Subject (authority = RUETD)
Topic
Mechanical and Aerospace Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_11104
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application/pdf
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text/xml
Extent
1 online resource (vii, 66 pages)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Genre (authority = ExL-Esploro)
External ETD graduate
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Title
School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-5094-2d26
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Baber
GivenName
Kelly
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-08-24 16:33:57
AssociatedEntity
Name
Kelly Baber
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
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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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Technical

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2020-08-25T08:34:40
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2020-08-25T08:34:40
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