Full metadata
Title
Deregulated real-time pricing for the promotion of distributed renewables
Description
This thesis pursues a method to deregulate the electric distribution system and provide support to distributed renewable generation. A locational marginal price is used to determine prices across a distribution network in real-time. The real-time pricing may provide benefits such as a reduced electricity bill, decreased peak demand, and lower emissions. This distribution locational marginal price (D-LMP) determines the cost of electricity at each node in the electrical network. The D-LMP is comprised of the cost of energy, cost of losses, and a renewable energy premium. The renewable premium is an adjustable function to compensate `green' distributed generation. A D-LMP is derived and formulated from the PJM model, as well as several alternative formulations. The logistics and infrastructure an implementation is briefly discussed. This study also takes advantage of the D-LMP real-time pricing to implement distributed storage technology. A storage schedule optimization is developed using linear programming. Day-ahead LMPs and historical load data are used to determine a predictive optimization. A test bed is created to represent a practical electric distribution system. Historical load, solar, and LMP data are used in the test bed to create a realistic environment. A power flow and tabulation of the D-LMPs was conducted for twelve test cases. The test cases included various penetrations of solar photovoltaics (PV), system networking, and the inclusion of storage technology. Tables of the D-LMPs and network voltages are presented in this work. The final costs are summed and the basic economics are examined. The use of a D-LMP can lower costs across a system when advanced technologies are used. Storage improves system costs, decreases losses, improves system load factor, and bolsters voltage. Solar energy provides many of these same attributes at lower penetrations, but high penetrations have a detrimental effect on the system. System networking also increases these positive effects. The D-LMP has a positive impact on residential customer cost, while greatly increasing the costs for the industrial sector. The D-LMP appears to have many positive impacts on the distribution system but proper cost allocation needs further development.
Date Created
2011
Contributors
- Kiefer, Brian Daniel (Author)
- Heydt, Gerald T (Thesis advisor)
- Shunk, Dan (Committee member)
- Hedman, Kory (Committee member)
- Arizona State University (Publisher)
Topical Subject
- Electrical Engineering
- Economics
- energy
- Distributed Generation
- Distribution
- Locational Marginal Pricing
- Nodal Pricing
- Renewable Energy
- Storage
- Electric power distribution--Costs--Mathematical models.
- Electric power distribution
- Energy storage--Mathematical models.
- Energy Storage
- Photovoltaic power generation--Mathematical models.
- Photovoltaic power generation
- Renewable energy sources--Mathematical models.
- Renewable energy sources
Resource Type
Extent
1 v. (pagination varies : ill. (some col.), map
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.9293
Statement of Responsibility
by Brian Daniel Kiefer
Description Source
Viewed on March 20, 2012
Level of coding
full
Note
thesis
Partial requirement for: M.S., Arizona State University, 2011
bibliography
Includes bibliographical references (p. 105-107)
Field of study: Electrical engineering
System Created
- 2011-08-12 04:50:21
System Modified
- 2021-08-30 01:52:12
- 3 years 2 months ago
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