Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller

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

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, November). Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller. Presented at EWEA 2015, Paris, France

• Presentation Conference Type: Conference Paper (published)
• Conference Name: EWEA 2015
• 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
• Public URL: https://durham-repository.worktribe.com/output/1151765
• 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