Full metadata
Title
Power system network reduction for engineering and economic analysis
Description
Electric power systems are facing great challenges from environmental regulations, changes in demand due to new technologies like electric vehicle, as well as the integration of various renewable energy sources. These factors taken together require the development of new tools to help make policy and investment decisions for the future power grid. The requirements of a network equivalent to be used in such planning tools are very different from those assumed in the development of traditional equivalencing procedures. This dissertation is focused on the development, implementation and verification of two network equivalencing approaches on large power systems, such as the Eastern Interconnection. Traditional Ward-type equivalences are a class of equivalencing approaches but this class has some significant drawbacks. It is well known that Ward-type equivalents "smear" the injections of external generators over a large number of boundary buses. For newer long-term investment applications that take into account such things as greenhouse gas (GHG) regulations and generator availability, it is computationally impractical to model fractions of generators located at many buses. A modified-Ward equivalent is proposed to address this limitation such that the external generators are moved wholesale to some internal buses based on electrical distance. This proposed equivalencing procedure is designed so that the retained-line power flows in the equivalent match those in the unreduced (full) model exactly. During the reduction process, accommodations for special system elements are addressed, including static VAr compensators (SVCs), high voltage dc (HVDC) transmission lines, and phase angle regulators. Another network equivalencing approach based on the dc power flow assumptions and the power transfer distribution factors (PTDFs) is proposed. This method, rather than eliminate buses via Gauss-reduction, aggregates buses on a zonal basis. The bus aggregation approach proposed here is superior to the existing bus aggregation methods in that a) under the base case, the equivalent-system inter-zonal power flows exactly match those calculated using the full-network-model b) as the operating conditions change, errors in line flows are reduced using the proposed bus clustering algorithm c) this method is computationally more efficient than other bus aggregation methods proposed heretofore. A critical step in achieving accuracy with a bus aggregation approach is selecting which buses to cluster together and how many clusters are needed. Clustering in this context refers to the process of partitioning a network into subsets of buses. An efficient network clustering method is proposed based on the PTDFs and the data mining techniques. This method is applied to the EI topology using the "Saguaro" supercomputer at ASU, a resource with sufficient memory and computational capability for handling this 60,000-bus and 80,000-branch system. The network equivalents generated by the proposed approaches are verified and tested for different operating conditions and promising results have been observed.
Date Created
2012
Contributors
- Shi, Di (Author)
- Tylavsky, Daniel J (Thesis advisor)
- Vittal, Vijay (Committee member)
- Hedman, Kory (Committee member)
- Ayyanar, Raja (Committee member)
- Arizona State University (Publisher)
Topical Subject
- Electrical Engineering
- energy
- Market Analysis
- Network Reduction
- POWER SYSTEM
- Power Transfer Distribution Factor
- System Planning
- Ward Reduction
- Electric power system stability
- Electric power systems--Planning.
- Electric power systems
- Electric power production--Environmental aspects.
- Electric power production
- Electric power production--Decision making.
- Electric power production
Resource Type
Extent
xix, 155 p. : ill. (some col.), col. maps
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.15790
Statement of Responsibility
by Di Shi
Description Source
Viewed on July 17, 2013
Level of coding
full
Note
Partial requirement for: Ph.D., Arizona State University, 2012
Note type
thesis
Includes bibliographical references (p. 148-152)
Note type
bibliography
Field of study: Electrical engineering
System Created
- 2013-01-17 06:33:23
System Modified
- 2021-08-30 01:44:51
- 2 years 7 months ago
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