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Considerations for maintaining resource adequacy of electricity systems with high penetrations of PV and storage

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  • Cole, Wesley
  • Greer, Daniel
  • Ho, Jonathan
  • Margolis, Robert

Abstract

Solar photovoltaic (PV) and energy storage deployment has grown rapidly in recent years and is expected to continue as the costs of these technologies continues to decline. As PV penetration grows, peak net load hours—where net load is load minus variable renewable energy generation—become increasingly important for understanding resource adequacy of power systems. In this work, we evaluate scenarios of a future U.S. power system with high penetrations of PV. We do so by using a national-scale capacity expansion model to consider 15 scenarios with national annual PV generation penetration levels of 16%–47%, combined wind and PV penetrations are 40%–64%, and storage capacity ranging from 5% to 47% of peak demand. The modeled scenarios incorporate 7-years of coincident weather data and load profiles (2007–2013) for the contiguous United States. In doing so, we evaluate when peak net load hours occur and how their occurrence is impacted by PV penetration, region, and weather. We find that with increasing PV penetration, peak net load hours move from afternoon periods to evenings or from midmorning to early morning, and that the frequency of winter peak net load hours increases. We also simulate hourly system dispatch in 3 of the 15 scenarios using a commercially available unit commitment and dispatch model—PLEXOS-- to evaluate with much greater resolution how the systems behave under specific weather conditions observed from 2007 to 2013. The hourly results show substantial shifts in how peak net load hours are served as PV penetration increases, and that how the system serves those top peak net load hours varies considerably across different regions of the country. Finally, we employ a simple method for estimating the impacts of snow cover in the high PV penetration scenarios and find that for the moderate and highest levels of PV we examine, snow cover has the potential to result in capacity and energy shortfalls.

Suggested Citation

  • Cole, Wesley & Greer, Daniel & Ho, Jonathan & Margolis, Robert, 2020. "Considerations for maintaining resource adequacy of electricity systems with high penetrations of PV and storage," Applied Energy, Elsevier, vol. 279(C).
    • Handle: RePEc:eee:appene:v:279:y:2020:i:c:s0306261920312782
    DOI: 10.1016/j.apenergy.2020.115795
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    1. Mai, Trieu & Mulcahy, David & Hand, M. Maureen & Baldwin, Samuel F., 2014. "Envisioning a renewable electricity future for the United States," Energy, Elsevier, vol. 65(C), pages 374-386.
    2. Cohen, Stuart M. & Caron, Justin, 2018. "The economic impacts of high wind penetration scenarios in the United States," Energy Economics, Elsevier, vol. 76(C), pages 558-573.
    3. Sengupta, Manajit & Xie, Yu & Lopez, Anthony & Habte, Aron & Maclaurin, Galen & Shelby, James, 2018. "The National Solar Radiation Data Base (NSRDB)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 51-60.
    4. Cole, Wesley & Frew, Bethany & Gagnon, Pieter & Reimers, Andrew & Zuboy, Jarett & Margolis, Robert, 2018. "Envisioning a low-cost solar future: Exploring the potential impact of Achieving the SunShot 2030 targets for photovoltaics," Energy, Elsevier, vol. 155(C), pages 690-704.
    5. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
    6. Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
    7. Ryan Wiser & Karen Jenni & Joachim Seel & Erin Baker & Maureen Hand & Eric Lantz & Aaron Smith, 2016. "Expert elicitation survey on future wind energy costs," Nature Energy, Nature, vol. 1(10), pages 1-8, October.
    8. Crago, Christine L. & Koegler, Eric, 2018. "Drivers of growth in commercial-scale solar PV capacity," Energy Policy, Elsevier, vol. 120(C), pages 481-491.
    9. Denholm, Paul & Nunemaker, Jacob & Gagnon, Pieter & Cole, Wesley, 2020. "The potential for battery energy storage to provide peaking capacity in the United States," Renewable Energy, Elsevier, vol. 151(C), pages 1269-1277.
    10. Michael Milligan & Bethany Frew & Eduardo Ibanez & Juha Kiviluoma & Hannele Holttinen & Lennart Söder, 2017. "Capacity value assessments of wind power," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(1), January.
    11. Draxl, Caroline & Clifton, Andrew & Hodge, Bri-Mathias & McCaa, Jim, 2015. "The Wind Integration National Dataset (WIND) Toolkit," Applied Energy, Elsevier, vol. 151(C), pages 355-366.
    12. Zhou, Ella & Cole, Wesley & Frew, Bethany, 2018. "Valuing variable renewable energy for peak demand requirements," Energy, Elsevier, vol. 165(PA), pages 499-511.
    13. Murphy, Sinnott & Lavin, Luke & Apt, Jay, 2020. "Resource adequacy implications of temperature-dependent electric generator availability," Applied Energy, Elsevier, vol. 262(C).
    14. Zhao, Jiayun & Kucuksari, Sadik & Mazhari, Esfandyar & Son, Young-Jun, 2013. "Integrated analysis of high-penetration PV and PHEV with energy storage and demand response," Applied Energy, Elsevier, vol. 112(C), pages 35-51.
    15. Reimers, Andrew & Cole, Wesley & Frew, Bethany, 2019. "The impact of planning reserve margins in long-term planning models of the electricity sector," Energy Policy, Elsevier, vol. 125(C), pages 1-8.
    16. Lantz, Eric & Mai, Trieu & Wiser, Ryan H. & Krishnan, Venkat, 2016. "Long-term implications of sustained wind power growth in the United States: Direct electric system impacts and costs," Applied Energy, Elsevier, vol. 179(C), pages 832-846.
    17. Felix Creutzig & Peter Agoston & Jan Christoph Goldschmidt & Gunnar Luderer & Gregory Nemet & Robert C. Pietzcker, 2017. "The underestimated potential of solar energy to mitigate climate change," Nature Energy, Nature, vol. 2(9), pages 1-9, September.
    Full references (including those not matched with items on IDEAS)

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