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Durham Research Online
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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.

Abstract

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
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Status:Peer-reviewed
Publisher Web site:http://www.ewea.org/annual2015/conference/programme/info2.php?id2=1441&id=37%20&ordre=1#top
Date accepted:12 October 2015
Date deposited:06 November 2015
Date of first online publication:2015
Date first made open access:No date available

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