Distribution Reliability Optimization Using Synthetic Feeders

Richard E Brown,Rick Pinkerton

doi:10.3390/en12183510

Richard E Brown, Rick Pinkerton

Open Access

https://doi.org/10.3390/en12183510

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Journal: Energies	Publication Date: Sep 12, 2019
Citations: 3	License type: CC BY 4.0

Affiliation: Exponent (United States), Menlo School

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 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.

Highlights

Hawaiian Electric Company (Hawaiian Electric) and its subsidiaries, Maui Electric Company, and Hawai‘i Electric Light Company, serve 95 percent of the state’s 1.4 million residents on the islands of O‘ahu, Maui, Hawai‘i Island, Lāna‘i, and Moloka‘i. The Hawaii Public Utilities Commission (Commission) established reliability performance incentive mechanisms (PIMs) for the Hawaiian Electric Companies based on customer interruption frequency and customer interruption duration
A specific synthetic feeder has been created for each feeder, resulting in 363 synthetic feeders
This paper has presented a distribution system reliability optimization approach using synthetic feeders

Summary

Introduction

Hawaiian Electric Company (Hawaiian Electric) and its subsidiaries, Maui Electric Company, and Hawai‘i Electric Light Company (collectively the “Hawaiian Electric Companies”), serve 95 percent of the state’s 1.4 million residents on the islands of O‘ahu, Maui, Hawai‘i Island, Lāna‘i, and Moloka‘i. The Hawaii Public Utilities Commission (Commission) established reliability performance incentive mechanisms (PIMs) for the Hawaiian Electric Companies based on customer interruption frequency and customer interruption duration. The Hawaii Public Utilities Commission (Commission) established reliability performance incentive mechanisms (PIMs) for the Hawaiian Electric Companies based on customer interruption frequency and customer interruption duration. The frequency-based index used is SAIFI (system average interruption frequency index, the average number of sustained interruptions customers experience in a year). The duration-based index used is SAIDI (system average interruption duration index, the average number of interruption minutes customers experience in a year). These reliability indices are calculated according to IEEE Standard 1366 using the 2.5 Beta method for major event day identification [1]. The Commission sets reliability PIMs index targets based on ten years of historical data. Financial penalties begin at one standard deviation above the ten-year mean, linearly increase, and reach a maximum amount at two standard deviations above the ten-year mean

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