Net electricity load profiles: Shape and variability considering customer-mix at transformers on the island of Oahu, Hawai'i

Pam Chasuta Anukoolthamchote, Djeto Assané and Denise Konan

Energy Policy, 2020, vol. 147, issue C

Abstract: This paper uses data provided by Hawaiian Electric Company (HECO) for the period from September 2010 to May 2014. The study explores the effect of customer mix of each distributed transformer on the shape of load profiles along with their variability. Results suggest that in a more residential-concentrated area, net load generally has two peaks — morning and night, while a more commercial-or industrial-concentrated area exhibits one midday peak. The shape of a given areas’ load profile is mostly influenced by its customer-mix and the time-of-day, while its load volatility is largely the result of weather patterns and the level of PV penetration. Since solar power typically exhibits different generation characteristics from power produced by other conventional sources, more precise solar forecasts enable electric system operators to better manage electricity generation with fluctuating solar output.

Keywords: Net electricity load; Customer mix; Transformer; Shape of load profile; Load volatility; And PV penetration (search for similar items in EconPapers)
JEL-codes: Q4 Q42 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520304584

DOI: 10.1016/j.enpol.2020.111732

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