An Optimal Feed-In-Tariff Policy for Renewable Energies Using A Markov Model

نویسندگان

  • Shahab Bahrami
  • Aras Sheikhi
چکیده

Recent developments in renewable energy generation make it possible for renewable sectors to supply considerable share of electricity all around the world. As these sectors get larger, more attention is paid to the implementation of supportive strategies with the aim of motivating renewable energy (RE) developers. At present, Feed-In-Tariff (FIT) policies are regarded as one of the efficient strategies in stimulating renewable energy development and as such, designing approaches and controlling options of these policies are of utmost important. This paper presents a method based on a Markov chain model to investigate the economic benefits associated with the FIT policies. The proposed technique is used to study different aspects of FIT policies by dividing electricity prices, generation conditions and developer's cost-benefits into distinct states. Simulations are performed on a sample wind turbineto examine various features of designing premium price FIT policy.

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تاریخ انتشار 2015