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Fair consumer outcomes in the balance: Data driven analysis of distributed PV curtailment

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  • Stringer, Naomi
  • Haghdadi, Navid
  • Bruce, Anna
  • MacGill, Iain

Abstract

This study analyses distributed photovoltaic (D-PV) system curtailment and impacts on consumers in response to high network voltages. Novel analytical techniques are applied to a unique real-world operational dataset of over 1300 D-PV systems in South Australia to identify ‘tripping’. Data-driven methods are valuable due to the diverse range of D-PV conditions. South Australia is an insightful case study due to its D-PV rich network, where around one third of standalone housing now has a PV system. Findings suggest that overall curtailment is low, however some sites experience significant impacts of up to 46–95% curtailment per day, particularly during spring. The uneven distribution of impacts raises concerns regarding fairness, however network solutions to increase hosting capacity must be carefully balanced given the potential costs imposed on consumers without D-PV. Upscaling the estimated D-PV generation loss to all of South Australia indicates a total value of $1.2m-$4.5m per year in lost value to consumers with D-PV, considering clear sky days. Implications for policy makers and network operators are discussed in the context of strong projected D-PV uptake in Australia, and around the world. It is proposed that data-driven methods could inform future regulatory assessment processes to improve outcomes for all consumers.

Suggested Citation

  • Stringer, Naomi & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2021. "Fair consumer outcomes in the balance: Data driven analysis of distributed PV curtailment," Renewable Energy, Elsevier, vol. 173(C), pages 972-986.
    • Handle: RePEc:eee:renene:v:173:y:2021:i:c:p:972-986
    DOI: 10.1016/j.renene.2021.04.020
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    1. Abhnil Amtesh Prasad & Merlinde Kay, 2021. "Prediction of Solar Power Using Near-Real Time Satellite Data," Energies, MDPI, vol. 14(18), pages 1-20, September.

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