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Energies 2014, 7(9), 5624-5646; doi:10.3390/en7095624

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

Department of Systems Science, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan
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Received: 16 May 2014 / Revised: 15 August 2014 / Accepted: 19 August 2014 / Published: 27 August 2014
(This article belongs to the Special Issue Wind Turbines 2014)
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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. View Full-Text
Keywords: model-free design; stochastic approximation; wind energy model-free design; stochastic approximation; wind energy
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Ahmad, M.A.; Azuma, S.-I.; Sugie, T. A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation. Energies 2014, 7, 5624-5646.

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