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Electricity network revenue under different Australian residential tariff designs and customer interventions

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Report 01 Jul 2016 Australia Publisher:IEEEJournal:2016 IEEE Power and Energy Society General Meeting (PESGM)

Authors: Young, S; Bruce, A; Macgill, I;

doi: 10.1109/pesgm.2016.7741536

handle: 1959.4/unsworks_43763

Electricity network revenue under different Australian residential tariff designs and customer interventions

- Summary
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Abstract

The Australian electricity industry is facing significant challenges, as recent electricity price rises and technological change have lead to changing demand patterns and high penetrations of distributed photovoltaics. Network tariff reform is underway in response to concerns about overinvestment in network infrastructure and cross-subsidies present in existing tariff structures. In this paper, residential demand data is used to model network revenue per household in a variety of future scenarios. Revenue is particularly impacted under flat rate and time of use tariffs by high penetrations of photovoltaics, while energy efficiency has a potentially significant impact under all tariff designs tested.

Country

Australia

Related Organizations

UNSW Sydney
Australia

Keywords

330, anzsrc-for: 35 Commerce, 3509 Transportation, 35 Commerce, anzsrc-for: 3509 Transportation, Management, anzsrc-for: 40 Engineering, Logistics and Supply Chains, 7 Affordable and Clean Energy, Tourism and Services, 40 Engineering

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	7
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%