Distribution Reliability Optimization Using Synthetic Feeders

Richard E. Brown and Rick Pinkerton
Additional contact information
Richard E. Brown: Exponent, Inc., 149 Commonwealth Drive, Menlo Park, CA 94025, USA
Rick Pinkerton: Hawaiian Electric Company, 820 Ward Ave., Honolulu, HI 96814, USA

Energies, 2019, vol. 12, issue 18, 1-15

Abstract: Historical distribution system reliability optimization approaches have relied on the creation of detailed feeder reliability models, which is extremely labor-intensive. This paper presents a reliability optimization approach using synthetic feeders that does not require creating a topologically-precise model, but can still perform an overall system assessment considering a wide range of reliability improvement options for far less modeling effort. The synthetic feeder approach is then applied to Hawaiian Electric’s O?ahu distribution system, to identify (1) the lowest cost required to achieve various levels of reliability improvement, and (2) an approximate reliability project portfolio for each level of spending.

Keywords: distribution reliability; reliability indices; reliability risk; reliability improvement; reliability optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/18/3510/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/18/3510/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:18:p:3510-:d:266527

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().