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Modeling constraints to distributed generation solar photovoltaic capacity installation in the US Midwest

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  • Cook, Tyson
  • Shaver, Lee
  • Arbaje, Paul

Abstract

This paper presents a model for estimating the amount of distributed generation solar photovoltaics (DGPV) that can be accommodated by an electrical system, limited by the ability of existing generation infrastructure to change output. The model is applied to a region of seven states in the U.S. Midwest, showing the potential for temporary curtailment of installed DGPV to mitigate those constraints, and the associated reductions in coal- and natural gas-fired electricity generation. Scenarios considered are those under which 100%, 99.5%, and 95% of available solar can be utilized, and the point at which DGPV curtailment can no longer mitigate constraints because of the inability of conventional generation to keep pace as solar output declines in the late afternoon.

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  • Cook, Tyson & Shaver, Lee & Arbaje, Paul, 2018. "Modeling constraints to distributed generation solar photovoltaic capacity installation in the US Midwest," Applied Energy, Elsevier, vol. 210(C), pages 1037-1050.
    • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:1037-1050
    DOI: 10.1016/j.apenergy.2017.08.108
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    1. Evans, Annette & Strezov, Vladimir & Evans, Tim J., 2010. "Sustainability considerations for electricity generation from biomass," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1419-1427, June.
    2. Lave, Matthew & Kleissl, Jan, 2011. "Optimum fixed orientations and benefits of tracking for capturing solar radiation in the continental United States," Renewable Energy, Elsevier, vol. 36(3), pages 1145-1152.
    3. Zakeri, Behnam & Syri, Sanna & Rinne, Samuli, 2015. "Higher renewable energy integration into the existing energy system of Finland – Is there any maximum limit?," Energy, Elsevier, vol. 92(P3), pages 244-259.
    4. Delucchi, Mark A. & Jacobson, Mark Z., 2011. "Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies," Energy Policy, Elsevier, vol. 39(3), pages 1170-1190, March.
    5. Jo, J.H. & Loomis, D.G. & Aldeman, M.R., 2013. "Optimum penetration of utility-scale grid-connected solar photovoltaic systems in Illinois," Renewable Energy, Elsevier, vol. 60(C), pages 20-26.
    6. Deane, J.P. & Drayton, G. & Ó Gallachóir, B.P., 2014. "The impact of sub-hourly modelling in power systems with significant levels of renewable generation," Applied Energy, Elsevier, vol. 113(C), pages 152-158.
    7. Zhai, Pei & Larsen, Peter & Millstein, Dev & Menon, Surabi & Masanet, Eric, 2012. "The potential for avoided emissions from photovoltaic electricity in the United States," Energy, Elsevier, vol. 47(1), pages 443-450.
    8. Myers, Kevin S. & Klein, Sanford A. & Reindl, Douglas T., 2010. "Assessment of high penetration of solar photovoltaics in Wisconsin," Energy Policy, Elsevier, vol. 38(11), pages 7338-7345, November.
    9. Gan, Peck Yean & Li, ZhiDong, 2015. "Quantitative study on long term global solar photovoltaic market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 88-99.
    10. Tonkoski, Reinaldo & Lopes, Luiz A.C., 2011. "Impact of active power curtailment on overvoltage prevention and energy production of PV inverters connected to low voltage residential feeders," Renewable Energy, Elsevier, vol. 36(12), pages 3566-3574.
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