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Diversifying wind power in real power systems

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  • Novacheck, Joshua
  • Johnson, Jeremiah X.

Abstract

One method to reduce wind variability is to diversify the wind power resource by interconnecting wind resources across a larger geography. This study uses a modified version of mean-variance portfolio optimization (MVP) to assess the potential for diverse wind to reduce the variability of wind. A one year unit commitment and economic dispatch model of the U.S. Midwest is used to understand the value of the reduced variability. The model assesses four different wind portfolios, ranging in diversity, of two wind power penetrations (10% of total system load and 20%). Employing MVP, the variance in the ramp rates decrease by 50% with a 4% increase in capacity in the 20% wind penetration and a 2% increase in the 10% penetration. With a 20% wind penetration, decreasing the ramp rate variance can reduce curtailment from 5% to 0.1%. In the absence of significant curtailment, decreasing the ramp rate variance reduces the proportion of conventional generation required for ramping. However, the impact on total production cost and emissions from conventional generation is complicated by complexities of the power system, including transmission constraints and the time of day of ramping.

Suggested Citation

  • Novacheck, Joshua & Johnson, Jeremiah X., 2017. "Diversifying wind power in real power systems," Renewable Energy, Elsevier, vol. 106(C), pages 177-185.
  • Handle: RePEc:eee:renene:v:106:y:2017:i:c:p:177-185
    DOI: 10.1016/j.renene.2016.12.100
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    References listed on IDEAS

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    1. Maddaloni, Jesse D. & Rowe, Andrew M. & van Kooten, G. Cornelis, 2009. "Wind integration into various generation mixtures," Renewable Energy, Elsevier, vol. 34(3), pages 807-814.
    2. Turconi, R. & O’Dwyer, C. & Flynn, D. & Astrup, T., 2014. "Emissions from cycling of thermal power plants in electricity systems with high penetration of wind power: Life cycle assessment for Ireland," Applied Energy, Elsevier, vol. 131(C), pages 1-8.
    3. Palmer, Karen & Paul, Anthony & Woerman, Matt & Steinberg, Daniel C., 2011. "Federal policies for renewable electricity: Impacts and interactions," Energy Policy, Elsevier, vol. 39(7), pages 3975-3991, July.
    4. Katzenstein, Warren & Fertig, Emily & Apt, Jay, 2010. "The variability of interconnected wind plants," Energy Policy, Elsevier, vol. 38(8), pages 4400-4410, August.
    5. Roques, Fabien & Hiroux, Céline & Saguan, Marcelo, 2010. "Optimal wind power deployment in Europe--A portfolio approach," Energy Policy, Elsevier, vol. 38(7), pages 3245-3256, July.
    6. Novacheck, Joshua & Johnson, Jeremiah X., 2015. "The environmental and cost implications of solar energy preferences in Renewable Portfolio Standards," Energy Policy, Elsevier, vol. 86(C), pages 250-261.
    7. Stoutenburg, Eric D. & Jenkins, Nicholas & Jacobson, Mark Z., 2010. "Power output variations of co-located offshore wind turbines and wave energy converters in California," Renewable Energy, Elsevier, vol. 35(12), pages 2781-2791.
    8. Rombauts, Yannick & Delarue, Erik & D’haeseleer, William, 2011. "Optimal portfolio-theory-based allocation of wind power: Taking into account cross-border transmission-capacity constraints," Renewable Energy, Elsevier, vol. 36(9), pages 2374-2387.
    9. Schmidt, J. & Lehecka, G. & Gass, V. & Schmid, E., 2013. "Where the wind blows: Assessing the effect of fixed and premium based feed-in tariffs on the spatial diversification of wind turbines," Energy Economics, Elsevier, vol. 40(C), pages 269-276.
    10. Katzenstein, Warren & Apt, Jay, 2012. "The cost of wind power variability," Energy Policy, Elsevier, vol. 51(C), pages 233-243.
    11. Bird, Lori & Chapman, Caroline & Logan, Jeff & Sumner, Jenny & Short, Walter, 2011. "Evaluating renewable portfolio standards and carbon cap scenarios in the U.S. electric sector," Energy Policy, Elsevier, vol. 39(5), pages 2573-2585, May.
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