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

Ahmad, Mohd Ashraf; Azuma, Shun-ichi; Sugie, Toshiharu

doi:10.3390/en7095624

Submit to this Journal Review for this Journal Edit a Special Issue

Article Menu

...

Open AccessArticle

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

Department of Systems Science, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan

Author to whom correspondence should be addressed.

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

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)

View Full-Text Download PDF

Browse Figures

Citation Export

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

▼ Show Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License

Share and Cite

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. https://doi.org/10.3390/en7095624

AMA Style

Ahmad MA, 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(9):5624-5646. https://doi.org/10.3390/en7095624

Chicago/Turabian Style

Ahmad, Mohd A., Shun-ichi Azuma, and Toshiharu Sugie. 2014. "A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation" Energies 7, no. 9: 5624-5646. https://doi.org/10.3390/en7095624

Find Other Styles

Article Metrics

Abstract views Pdf views Html views

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.

Article Menu

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

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Article Access Map by Country/Region

Further Information

Guidelines

MDPI Initiatives

Follow MDPI