The current types of rate structures for the electricity retailing create a disconnection between retail and wholesale markets. The rate structures expose utility providers to the full risks of wholesale markets, while prohibiting the response of end-use customers to market dynamics. This disconnection is considered to be the primary cause of unusual volatility in electricity markets. In this dissertation, the author proposes a Cost-for-Deviation (CfD) retail pricing scheme, which is designed to minimize the demand uncertainty of individual customers. A series of experiments demonstrate that CfD pricing is able to reduce the demand uncertainty by 10%, as measured by the root mean squared deviation of the demand. Consequently, the community’s cost of hedging the quantity risk in the real-time market is reduced by 38%. This dissertation also demonstrates the formulation and solution techniques for the day-ahead planning and real-time tracking optimizations that each customer faces under CfD. An efficient and robust approach, called Optimal Strategy Pool (OSP), is introduced to solve simulation-based on-line planning problems; and dynamic programming is adopted in neural network model-based predictive control. Both centralized and distributed mechanisms are studied for customers to reduce CfD charges via collaborative demand management. Overall, CfD pricing effectively reduces the demand uncertainty by promoting a predictable consumption behavior.
Subject (authority = RUETD)
Topic
Industrial and Systems Engineering
Subject (authority = ETD-LCSH)
Topic
Electric utilities--Rates
Subject (authority = ETD-LCSH)
Topic
Pricing
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6003
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xi, 157 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Jianmin Zhu
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
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.