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An investigation on the impacts of regulatory interventions on wind power expansion in generation planning

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  • Alishahi, Ehsan
  • Moghaddam, Mohsen P.
  • Sheikh-El-Eslami, Mohammad K.

Abstract

Large integration of intermittent wind generation in power system has necessitated the inclusion of more innovative and sophisticated approaches in power system investment planning. This paper presents a novel framework on the basis of a combination of stochastic dynamic programming (SDP) algorithm and game theory to study the impacts of different regulatory interventions to promote wind power investment in generation expansion planning. In this study, regulatory policies include Feed-in-Tariff (FIT) incentive, quota and tradable green certificate. The intermittent nature and uncertainties of wind power generation will cause the investors encounter risk in their investment decisions. To overcome this problem, a novel model has been derived to study the regulatory impacts on wind generation expansion planning. In our approach, the probabilistic nature of wind generation is modeled. The model can calculate optimal investment strategies, in which the wind power uncertainty is included. This framework is implemented on a test system to illustrate the working of the proposed approach. The result shows that FITs are the most effective policy to encourage the rapid and sustained deployment of wind power. FITs can significantly reduce the risks of investing in renewable energy technologies and thus create conditions conducive to rapid market growth.

Suggested Citation

  • Alishahi, Ehsan & Moghaddam, Mohsen P. & Sheikh-El-Eslami, Mohammad K., 2011. "An investigation on the impacts of regulatory interventions on wind power expansion in generation planning," Energy Policy, Elsevier, vol. 39(8), pages 4614-4623, August.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:8:p:4614-4623
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    References listed on IDEAS

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    10. Darmani, Anna & Rickne, Annika & Hidalgo, Antonio & Arvidsson, Niklas, 2016. "When outcomes are the reflection of the analysis criteria: A review of the tradable green certificate assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 372-381.
    11. Aryani, Morteza & Ahmadian, Mohammad & Sheikh-El-Eslami, Mohammad-Kazem, 2020. "Designing a regulatory tool for coordinated investment in renewable and conventional generation capacities considering market equilibria," Applied Energy, Elsevier, vol. 279(C).
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    13. Yang, Dong-xiao & Chen, Zi-yue & Nie, Pu-yan, 2016. "Output subsidy of renewable energy power industry under asymmetric information," Energy, Elsevier, vol. 117(P1), pages 291-299.
    14. Aryani, Morteza & Ahmadian, Mohammad & Sheikh-El-Eslami, Mohammad-Kazem, 2021. "Coordination of risk-based generation investments in conventional and renewable capacities in oligopolistic electricity markets: A robust regulatory tool," Energy, Elsevier, vol. 214(C).
    15. Ahmadpour, Ali & Mokaramian, Elham & Anderson, Simon, 2021. "The effects of the renewable energies penetration on the surplus welfare under energy policy," Renewable Energy, Elsevier, vol. 164(C), pages 1171-1182.
    16. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    17. Gacitua, L. & Gallegos, P. & Henriquez-Auba, R. & Lorca, Á. & Negrete-Pincetic, M. & Olivares, D. & Valenzuela, A. & Wenzel, G., 2018. "A comprehensive review on expansion planning: Models and tools for energy policy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 346-360.
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