Thesis
Measuring and enabling resiliency in distribution sysems with multiple microgrids
Washington State University
Master of Science (MS), Washington State University
2015
Handle:
https://hdl.handle.net/2376/101400
Abstract
Uninterrupted operation of electric power grid is critical for national security and economy of all the dependent infrastructures. Over the few decades, climate and weather related events affecting the continuity of power supply have increased in numbers, and despite higher need for reliable power supply, the number of power outages have increased several folds. The traditional approach of measuring reliability of power systems is being deemed unsuitable to measure the preparedness of electric grid in extreme adverse events. United States Presidential Policy Directive (PPD-21) calls for the resilient national infrastructure to be able to resist or avert widespread damage and losses caused by low frequency, high impact events, such as hurricanes, storms or acts of terrorism. A metrics for resiliency would enable engineers and designers evaluate the relative preparedness of a power distribution system to such events. Due to the subjective nature of the definition of resiliency, there are several ways of approaching the problem. As a consequence, there is no ‘gold-standard’ to quantify the resiliency of a distribution system using a single composite number that can be applied to any distribution system. This research work is an effort to derive a numerical value for measuring resiliency of distribution network. Multiple criteria, such as topology of the network, availability of secondary resources, level of maintenance or age of equipment, restoration and reconfiguration algorithms have been considered to develop possible resiliency metrics. Complex network analysis is used for topological resiliency analysis of networks, and multiple criteria analysis is used for computing the composite resiliency metrics. The proposed methodology is tested using industry-standard IEEE distribution test feeder, CERTS microgrids as well as real feeders in Pullman, Washington. Using a model of two geographically proximal microgrids and an optimization-based reconfiguration algorithm, it has been shown that resiliency of the power distribution system may be improved.
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Details
- Title
- Measuring and enabling resiliency in distribution sysems with multiple microgrids
- Creators
- Sayonsom Chanda
- Contributors
- Anurag K. Srivastava (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525180801842
- Language
- English
- Resource Type
- Thesis