Skip to main content

Research Repository

Advanced Search

Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller

Ahmad, T.; Girard, N.; Kazemtabrizi, B.; Matthews, P.C.

Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller Thumbnail


Authors

T. Ahmad

N. Girard



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.

Citation

Ahmad, T., Girard, N., Kazemtabrizi, B., & Matthews, P. (2015). Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller.

Conference Name EWEA 2015
Conference Location Paris, France
Start Date Nov 17, 2015
End Date Nov 20, 2015
Acceptance Date Oct 12, 2015
Publication Date Nov 20, 2015
Deposit Date Oct 27, 2015
Publicly Available Date Nov 6, 2015
Publisher URL http://www.ewea.org/annual2015/conference/programme/info2.php?id2=1441&id=37%20&ordre=1#top
Additional Information Conference dates: 17-20 November 2015

Files





You might also like



Downloadable Citations