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Modeling wind power curtailment with increased capacity in a regional electricity grid supplying a dense urban demand


  • Waite, Michael
  • Modi, Vijay


Many US states have targets for vastly expanding electricity generation from renewable resources. As installed wind capacity increases, several factors can lead to the curtailment of potential wind-generated electricity. Reliably estimating wind power outputs remains a challenge given the dearth of available hub height-altitude wind speed data and measured outputs from newer turbines. A methodology to make such estimates with large increases in wind capacity is described. A regional wind power model, including subroutines for evaluating Statewide grid constraints, and a linear program to solve the model were developed to assess capacity factors and curtailments with deep penetration of wind power into an existing grid under several constrained scenarios implied by demand, baseload generation and transmission. Actual zonal demand and interzonal transmission limits were used for the New York State electricity grid, which has significant potential for wind power mostly distant from the concentrated electricity demand in and around New York City.

Suggested Citation

  • Waite, Michael & Modi, Vijay, 2016. "Modeling wind power curtailment with increased capacity in a regional electricity grid supplying a dense urban demand," Applied Energy, Elsevier, vol. 183(C), pages 299-317.
  • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:299-317
    DOI: 10.1016/j.apenergy.2016.08.078

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    References listed on IDEAS

    1. Wang, J. & Botterud, A. & Bessa, R. & Keko, H. & Carvalho, L. & Issicaba, D. & Sumaili, J. & Miranda, V., 2011. "Wind power forecasting uncertainty and unit commitment," Applied Energy, Elsevier, vol. 88(11), pages 4014-4023.
    2. James B. Bushnell & Erin T. Mansur & Celeste Saravia, 2008. "Vertical Arrangements, Market Structure, and Competition: An Analysis of Restructured US Electricity Markets," American Economic Review, American Economic Association, vol. 98(1), pages 237-266, March.
    3. Hiroux, C. & Saguan, M., 2010. "Large-scale wind power in European electricity markets: Time for revisiting support schemes and market designs?," Energy Policy, Elsevier, vol. 38(7), pages 3135-3145, July.
    4. 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.
    5. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    6. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    7. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    8. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    9. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & Dang, Shuping & Zhang, Jian & Zhou, Yuhui, 2016. "A source–grid–load coordinated power planning model considering the integration of wind power generation," Applied Energy, Elsevier, vol. 168(C), pages 13-24.
    10. Lion Hirth, 2013. "The Market Value of Variable Renewables. The Effect of Solar and Wind Power Variability on their Relative Price," RSCAS Working Papers 2013/36, European University Institute.
    11. Elliston, Ben & Diesendorf, Mark & MacGill, Iain, 2012. "Simulations of scenarios with 100% renewable electricity in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 45(C), pages 606-613.
    12. Ahmadigorji, Masoud & Amjady, Nima, 2015. "Optimal dynamic expansion planning of distribution systems considering non-renewable distributed generation using a new heuristic double-stage optimization solution approach," Applied Energy, Elsevier, vol. 156(C), pages 655-665.
    13. Pattanariyankool, Sompop & Lave, Lester B., 2010. "Optimizing transmission from distant wind farms," Energy Policy, Elsevier, vol. 38(6), pages 2806-2815, June.
    14. Yang, An-Shik & Su, Ying-Ming & Wen, Chih-Yung & Juan, Yu-Hsuan & Wang, Wei-Siang & Cheng, Chiang-Ho, 2016. "Estimation of wind power generation in dense urban area," Applied Energy, Elsevier, vol. 171(C), pages 213-230.
    15. Guerra, Omar J. & Tejada, Diego A. & Reklaitis, Gintaras V., 2016. "An optimization framework for the integrated planning of generation and transmission expansion in interconnected power systems," Applied Energy, Elsevier, vol. 170(C), pages 1-21.
    16. Ambec, Stefan & Crampes, Claude, 2012. "Electricity provision with intermittent sources of energy," Resource and Energy Economics, Elsevier, vol. 34(3), pages 319-336.
    17. Waite, Michael & Modi, Vijay, 2014. "Potential for increased wind-generated electricity utilization using heat pumps in urban areas," Applied Energy, Elsevier, vol. 135(C), pages 634-642.
    18. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    19. Jacobson, Mark Z. & Howarth, Robert W. & Delucchi, Mark A. & Scobie, Stan R. & Barth, Jannette M. & Dvorak, Michael J. & Klevze, Megan & Katkhuda, Hind & Miranda, Brian & Chowdhury, Navid A. & Jones, , 2013. "Examining the feasibility of converting New York State’s all-purpose energy infrastructure to one using wind, water, and sunlight," Energy Policy, Elsevier, vol. 57(C), pages 585-601.
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    1. repec:gam:jeners:v:11:y:2018:i:1:p:121-:d:125353 is not listed on IDEAS
    2. repec:eee:appene:v:195:y:2017:i:c:p:538-555 is not listed on IDEAS
    3. repec:gam:jeners:v:11:y:2018:i:3:p:577-:d:135166 is not listed on IDEAS
    4. repec:eee:enepol:v:109:y:2017:i:c:p:36-48 is not listed on IDEAS
    5. repec:eee:appene:v:217:y:2018:i:c:p:178-188 is not listed on IDEAS


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