We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.

Durham Research Online
You are in:

Analysis of two onshore wind farms with a dynamic farm controller.

Ahmad, T. and Girard, N. and Kazemtabrizi, B. and Matthews, P.C. (2015) 'Analysis of two onshore wind farms with a dynamic farm controller.', EWEA 2015 Paris, France, 17-20 November 2015.


This work develops an assessment methodology for identifying potential areas where coordinated control can increase farm power output. A dynamic farm controller is presented that exploits the benefits of reducing power of the upstream turbines for increasing overall farm production. The dynamic controller uses a modified version of the Jensen model for wind speed deficit calculation and Particle Swarm Optimisation (PSO) for selecting a set of turbine coefficients of power (Cp). This assessment methodology and farm controller is applied to data from two operating onshore wind farms to determine the benefits of coordinated control. It was found that farm production can be increased by up to 5% when compared to the conventional greedy control. The dynamic controller wake prediction is accurate and fast. The case study farms are optimised in under 5 seconds. This makes the dynamic controller very suitable for real time operations.

Item Type:Conference item (Paper)
Full text:(AM) Accepted Manuscript
Download PDF
Publisher Web site:
Date accepted:12 October 2015
Date deposited:06 November 2015
Date of first online publication:2015
Date first made open access:No date available

Save or Share this output

Look up in GoogleScholar