A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation

Mohd Ashraf Ahmad, Shun-ichi Azuma and Toshiharu Sugie
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Mohd Ashraf Ahmad: Department of Systems Science, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan
Shun-ichi Azuma: Department of Systems Science, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan
Toshiharu Sugie: Department of Systems Science, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan

Energies, 2014, vol. 7, issue 9, 1-23

Abstract: This paper provides a model-free approach based on the Multi-Resolution Simultaneous Perturbation Stochastic Approximation (MR-SPSA) for maximizing power production of wind farms. The main advantage is that the method based on MR-SPSA can achieve fast controller tuning without any plant model by exploiting the information of the wind farm configuration such as turbines location and wind direction. In order to simulate the performance of the model-free scheme, a wind farm model with dynamic characterization of wake interaction between turbines is used and then the proposed method is applied to the Horns Rev wind farm. Simulation results illustrate that the method based on MR-SPSA achieves the maximum total power production with faster convergence compared with other existing model-free methods.

Keywords: model-free design; stochastic approximation; wind energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (3)

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