Dynamic Wind Farm Controller

Ahmad, T.; Matthews, P.C.; Kazemtabrizi, B.; Smith, CJ

Abstract

This work presents a dynamic wind farm controller for maximising power output of a wind farm. The controller uses a coordinated control approach where the output of the upstream turbines is varied to minimise wake effects on the downstream turbines. The speed deficit due to wakes is calculated using a modified version of the Jensen wake flow model. This model gives the wind speed at different locations in the wind farm. Particle Swarm Optimisation (PSO) is used to generate different sets of coefficients of power (CP) for all the turbines and select the one which results in maximum farm output. The Brazos wind farm is used as a case study. The controller optimises a row of seven wind turbines in less than 5 seconds and increases the farm output by 9%. High computational efficiency and accuracy make the proposed controller very suitable for practical implementation in industry.

Citation

Ahmad, T., Matthews, P., Kazemtabrizi, B., & Smith, C. (2015, September). Dynamic Wind Farm Controller. Presented at 11th EAWE PhD Seminar on Wind Energy in Europe., Stuttgart, Germany

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 11th EAWE PhD Seminar on Wind Energy in Europe.
• Start Date: Sep 22, 2015
• End Date: Sep 25, 2015
• Acceptance Date: Sep 25, 2015
• Publication Date: Sep 30, 2015
• Deposit Date: Nov 13, 2015
• Publicly Available Date: Mar 17, 2016
• Public URL: https://durham-repository.worktribe.com/output/1152206
• Publisher URL: http://www.eawe.eu/index.php/about/downloads
• Additional Information: Date: 22-25 September 2015