Distribution Reliability Optimization Using Synthetic Feeders
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-pre...
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Format: | Article |
Language: | English |
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MDPI AG
2019-09-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/12/18/3510 |
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author | Richard E. Brown Rick Pinkerton |
author_facet | Richard E. Brown Rick Pinkerton |
author_sort | Richard E. Brown |
collection | DOAJ |
description | 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 Oʻahu 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. |
first_indexed | 2024-04-11T18:18:27Z |
format | Article |
id | doaj.art-137eabae404a4130a02f44e590d6bfca |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-11T18:18:27Z |
publishDate | 2019-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-137eabae404a4130a02f44e590d6bfca2022-12-22T04:09:49ZengMDPI AGEnergies1996-10732019-09-011218351010.3390/en12183510en12183510Distribution Reliability Optimization Using Synthetic FeedersRichard E. Brown0Rick Pinkerton1Exponent, Inc., 149 Commonwealth Drive, Menlo Park, CA 94025, USAHawaiian Electric Company, 820 Ward Ave., Honolulu, HI 96814, USAHistorical 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 Oʻahu 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.https://www.mdpi.com/1996-1073/12/18/3510distribution reliabilityreliability indicesreliability riskreliability improvementreliability optimization |
spellingShingle | Richard E. Brown Rick Pinkerton Distribution Reliability Optimization Using Synthetic Feeders Energies distribution reliability reliability indices reliability risk reliability improvement reliability optimization |
title | Distribution Reliability Optimization Using Synthetic Feeders |
title_full | Distribution Reliability Optimization Using Synthetic Feeders |
title_fullStr | Distribution Reliability Optimization Using Synthetic Feeders |
title_full_unstemmed | Distribution Reliability Optimization Using Synthetic Feeders |
title_short | Distribution Reliability Optimization Using Synthetic Feeders |
title_sort | distribution reliability optimization using synthetic feeders |
topic | distribution reliability reliability indices reliability risk reliability improvement reliability optimization |
url | https://www.mdpi.com/1996-1073/12/18/3510 |
work_keys_str_mv | AT richardebrown distributionreliabilityoptimizationusingsyntheticfeeders AT rickpinkerton distributionreliabilityoptimizationusingsyntheticfeeders |