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

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

Authors

T. Ahmad

N. Girard

Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor

Dr Peter Matthews p.c.matthews@durham.ac.uk
Associate Professor

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