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Assessment of the capacity credit of wind power in Mexico

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  • Yáñez, Juan Pablo
  • Kunith, Alexander
  • Chávez-Arroyo, Roberto
  • Romo-Perea, Alejandro
  • Probst, Oliver

Abstract

A comprehensive assessment of the capacity credit of potential wind power developments in Mexico has been conducted for the first time. The analysis is based on an 80 m wind speed map generated from the North American Regional Reanalysis (NARR) data base and a set of restrictions, including proximity to transmission lines and major roads. Potential wind farm sites complying with all restrictions were populated with wind farms according to different scenarios; consecutive deployment of wind power from 1% to 15% system penetration was considered in all cases. In a set of one-region scenarios the evolution of the capacity credit was studied for different levels of intra-regional diversification. Near-generic decay according to a power law was observed at high penetration levels, whereas a notorious benefit was obtained from diversification at low and intermediate wind power penetration. In order to assess the potential benefits of inter-regional diversification, an optimization procedure was conducted. A significant improvement of the capacity credit decay curve was obtained for all levels of penetration. Optimal sets are characterized by a balanced utilization among regions with a relative insensitivity with respect to the exact composition of the wind farm set. The results are believed to be useful for the expansion planning of the Mexican electric grid.

Suggested Citation

  • Yáñez, Juan Pablo & Kunith, Alexander & Chávez-Arroyo, Roberto & Romo-Perea, Alejandro & Probst, Oliver, 2014. "Assessment of the capacity credit of wind power in Mexico," Renewable Energy, Elsevier, vol. 72(C), pages 62-78.
    • Handle: RePEc:eee:renene:v:72:y:2014:i:c:p:62-78
    DOI: 10.1016/j.renene.2014.06.038
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    References listed on IDEAS

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    1. Voorspools, Kris R. & D'haeseleer, William D., 2006. "An analytical formula for the capacity credit of wind power," Renewable Energy, Elsevier, vol. 31(1), pages 45-54.
    2. Weigt, Hannes, 2009. "Germany's wind energy: The potential for fossil capacity replacement and cost saving," Applied Energy, Elsevier, vol. 86(10), pages 1857-1863, October.
    3. Purvins, Arturs & Zubaryeva, Alyona & Llorente, Maria & Tzimas, Evangelos & Mercier, Arnaud, 2011. "Challenges and options for a large wind power uptake by the European electricity system," Applied Energy, Elsevier, vol. 88(5), pages 1461-1469, May.
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    1. Wen, Lei & Song, Qianqian, 2023. "ELCC-based capacity value estimation of combined wind - storage system using IPSO algorithm," Energy, Elsevier, vol. 263(PB).
    2. Ye, Lin & Zhang, Cihang & Xue, Hui & Li, Jiachen & Lu, Peng & Zhao, Yongning, 2019. "Study of assessment on capability of wind power accommodation in regional power grids," Renewable Energy, Elsevier, vol. 133(C), pages 647-662.
    3. Zhou, Ella & Cole, Wesley & Frew, Bethany, 2018. "Valuing variable renewable energy for peak demand requirements," Energy, Elsevier, vol. 165(PA), pages 499-511.

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