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Achieving very high PV penetration – The need for an effective electricity remuneration framework and a central role for grid operators

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Listed:
  • Perez, Richard
  • Rábago, Karl R.
  • Trahan, Mike
  • Rawlings, Lyle
  • Norris, Ben
  • Hoff, Tom
  • Putnam, Morgan
  • Perez, Marc

Abstract

This article proposes that optimally deployed solutions to the intermittency introduced by high penetration solar – e. g., electrical storage, optimized curtailment and demand response – could affordably transform solar power generation into the firm power delivery system modern energy economies require, thereby enabling very high solar penetration and the displacement of conventional power generation. The optimal deployment of these high-penetration-enabling solutions imply the existence of a healthy power grid, and therefore imply a central role for utilities and grid operators.

Suggested Citation

  • Perez, Richard & Rábago, Karl R. & Trahan, Mike & Rawlings, Lyle & Norris, Ben & Hoff, Tom & Putnam, Morgan & Perez, Marc, 2016. "Achieving very high PV penetration – The need for an effective electricity remuneration framework and a central role for grid operators," Energy Policy, Elsevier, vol. 96(C), pages 27-35.
    • Handle: RePEc:eee:enepol:v:96:y:2016:i:c:p:27-35
    DOI: 10.1016/j.enpol.2016.05.016
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    References listed on IDEAS

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    1. Perez, Richard & Zweibel, Ken & Hoff, Thomas E., 2011. "Solar power generation in the US: Too expensive, or a bargain?," Energy Policy, Elsevier, vol. 39(11), pages 7290-7297.
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    Cited by:

    1. Gholami, M. & Sanjari, M.J., 2021. "Multiobjective energy management in battery-integrated home energy systems," Renewable Energy, Elsevier, vol. 177(C), pages 967-975.
    2. Kim, Jip & Bialek, Sylwia & Ünel, Burçin & Dvorkin, Yury, 2022. "Impact of imperfect foresight on the optimal DER deployment, remuneration and policy," Applied Energy, Elsevier, vol. 326(C).
    3. Pierro, Marco & Perez, Richard & Perez, Marc & Moser, David & Cornaro, Cristina, 2021. "Imbalance mitigation strategy via flexible PV ancillary services: The Italian case study," Renewable Energy, Elsevier, vol. 179(C), pages 1694-1705.
    4. Lee, Sangkeum & Cho, Hong-Yeon & Har, Dongsoo, 2018. "Operation optimization with jointly controlled modules powered by hybrid energy source: A case study of desalination," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3070-3080.
    5. Yang, Dazhi & Kleissl, Jan, 2023. "Summarizing ensemble NWP forecasts for grid operators: Consistency, elicitability, and economic value," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1640-1654.
    6. Candelise, Chiara & Westacott, Paul, 2017. "Can integration of PV within UK electricity network be improved? A GIS based assessment of storage," Energy Policy, Elsevier, vol. 109(C), pages 694-703.
    7. Johansson, Petter & Vendel, Martin & Nuur, Cali, 2020. "Integrating distributed energy resources in electricity distribution systems: An explorative study of challenges facing DSOs in Sweden," Utilities Policy, Elsevier, vol. 67(C).
    8. Nunes, Pedro & Brito, M.C., 2017. "Displacing natural gas with electric vehicles for grid stabilization," Energy, Elsevier, vol. 141(C), pages 87-96.
    9. Job Taminiau & John Byrne, 2020. "City‐scale urban sustainability: Spatiotemporal mapping of distributed solar power for New York City," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(5), September.
    10. Yang, Dazhi & Wang, Wenting & Gueymard, Christian A. & Hong, Tao & Kleissl, Jan & Huang, Jing & Perez, Marc J. & Perez, Richard & Bright, Jamie M. & Xia, Xiang’ao & van der Meer, Dennis & Peters, Ian , 2022. "A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    11. Pierro, Marco & Perez, Richard & Perez, Marc & Moser, David & Cornaro, Cristina, 2020. "Italian protocol for massive solar integration: Imbalance mitigation strategies," Renewable Energy, Elsevier, vol. 153(C), pages 725-739.
    12. Pierro, Marco & De Felice, Matteo & Maggioni, Enrico & Moser, David & Perotto, Alessandro & Spada, Francesco & Cornaro, Cristina, 2020. "Residual load probabilistic forecast for reserve assessment: A real case study," Renewable Energy, Elsevier, vol. 149(C), pages 508-522.

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