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Solar variability of four sites across the state of Colorado

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  • Lave, Matthew
  • Kleissl, Jan

Abstract

Solar Global Horizontal Irradiance (GHI) fluctuates on both short (seconds to hours) and long (days to months) timescales leading to variability of power produced by solar photovoltaic (PV) systems. Under a high PV penetration scenario, fluctuations on short time scales may require a supplementary spinning power source that can be ramped quickly, adding significant external cost to PV operation. In order to examine the smoothing effect of geographically distributed PV sites, GHI timeseries at 5min resolution at four sites across the state of Colorado were analyzed. GHI at the four sites was found to be correlated due to synchronous changes in the solar zenith angle. However, coherence analysis showed that the sites became uncorrelated on time scales shorter than 3h, resulting in smoother average output at short time scales. Likewise, extreme ramp rates were eliminated and the spread in ramp rate magnitude was significantly reduced when all four sites were averaged. Nevertheless, even for the averaged output, high frequency fluctuations in PV power output are relatively larger in magnitude than fluctuations expected from wind turbines. Our results allow estimation of the ancillary services required to operate distributed PV sites.

Suggested Citation

  • Lave, Matthew & Kleissl, Jan, 2010. "Solar variability of four sites across the state of Colorado," Renewable Energy, Elsevier, vol. 35(12), pages 2867-2873.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:12:p:2867-2873
    DOI: 10.1016/j.renene.2010.05.013
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    References listed on IDEAS

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    1. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in traditional electric power systems," Energy Policy, Elsevier, vol. 35(5), pages 2852-2861, May.
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    14. Roy, Sanjoy, 2015. "Statistical estimates of short duration power generated by a photovoltaic unit in environment of scattered cloud cover," Energy, Elsevier, vol. 89(C), pages 14-23.
    15. Chu, Yinghao & Wang, Yiling & Yang, Dazhi & Chen, Shanlin & Li, Mengying, 2024. "A review of distributed solar forecasting with remote sensing and deep learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
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