Reliability assessment is of primary importance in designing and planning distribution
systems that operate in an economic manner with minimal interruption of
customer loads. With the advances in renewable energy sources, Distributed Generation
(DG), is forecasted to increase in distribution networks. The study of reliability
evaluation of such networks is a relatively new area. This research presents a new
methodology that can be used to analyze the reliability of such distribution systems
and can be applied in preliminary planning studies for such systems. The method uses
a sequential Monte Carlo simulation of the distribution systemÂs stochastic model to
generate the operating behavior and combines that with a path augmenting Max flow
algorithm to evaluate the load status for each state change of operation in the system.
Overall system and load point reliability indices such as hourly loss of load, frequency
of loss of load and expected energy unserved can be computed using this technique.
On addition of DG in standby mode of operation at specific locations in the network,
the reliability indices can be compared for different scenarios and strategies for
placement of DG and their capacities can be determined using this methodology.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/3851 |
| Date | 16 August 2006 |
| Creators | Duttagupta, Suchismita Sujaya |
| Contributors | Singh, Chanan |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 933288 bytes, electronic, application/pdf, born digital |
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