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Planning for integration of wind power capacity in power generation using stochastic optimization

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  • Aliari, Yashar
  • Haghani, Ali

Abstract

Demand for energy is constantly rising worldwide whereas most conventional sources of energy are depleting. Environmental issues such as excessive greenhouse gas emissions impose additional constraints on the energy industry across the globe. Therefore, raising the share of clean sources of energy in power generation is of paramount importance. Wind power has specifically attracted large-scale investments in recent years since wind power is inherently ample, widely distributed and comes with minimal environmental impact.

Suggested Citation

  • Aliari, Yashar & Haghani, Ali, 2016. "Planning for integration of wind power capacity in power generation using stochastic optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 907-919.
    • Handle: RePEc:eee:rensus:v:59:y:2016:i:c:p:907-919
    DOI: 10.1016/j.rser.2016.01.018
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    References listed on IDEAS

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    1. Albadi, M.H. & El-Saadany, E.F., 2010. "Optimum turbine-site matching," Energy, Elsevier, vol. 35(9), pages 3593-3602.
    2. Zhao, M. & Chen, Z. & Blaabjerg, F., 2006. "Probabilistic capacity of a grid connected wind farm based on optimization method," Renewable Energy, Elsevier, vol. 31(13), pages 2171-2187.
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    Cited by:

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