Cookies

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:

Dynamic wind farm controller.

Ahmad, T. and Matthews, P.C. and Kazemtabrizi, B. (2015) 'Dynamic wind farm controller.', 11th EAWE PhD Seminar on Wind Energy in Europe. Stuttgart, Germany, 22-25 September 2015.

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.

Item Type:Conference item (Paper)
Full text:(AM) Accepted Manuscript
Download PDF
(529Kb)
Status:Peer-reviewed
Publisher Web site:http://www.eawe.eu/index.php/about/downloads
Date accepted:25 September 2015
Date deposited:17 March 2016
Date of first online publication:2015
Date first made open access:No date available

Save or Share this output

Export:
Export
Look up in GoogleScholar