Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms

Ahmad, Tanvir; Basit, Abdul; Ahsan, Muneeb; Coupiac, Olivier; Girard, Nicolas; Kazemtabrizi, Behzad; Matthews, Peter

Abstract

This paper presents, with a live field experiment, the potential of increasing wind farm power generation by optimally yawing upstream wind turbine for reducing wake effects as a part of the SmartEOLE project. Two 2MW turbines from the Le Sole de Moulin Vieux (SMV) wind farm are used for this purpose. The upstream turbine (SMV6) is operated with a yaw offset (α) in a range of −12◦ to 8◦ for analysing the impact on the downstream turbine (SMV5). Simulations are performed with intelligent control strategies for estimating optimum α settings. Simulations show that optimal α can increase net production of the two turbines by more than 5%. The impact of α on SMV6 is quantified using the data obtained during the experiment. A comparison of the data obtained during theexperimentiscarriedoutwithdataobtainedduringnormaloperationsinsimilarwindconditions. This comparison show that an optimum or near-optimum α increases net production by more than 5% in wake affected wind conditions, which is in confirmation with the simulated results.

Citation

Ahmad, T., Basit, A., Ahsan, M., Coupiac, O., Girard, N., Kazemtabrizi, B., & Matthews, P. (2019). Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms. Energies, 12(7), Article 1266. https://doi.org/10.3390/en12071266

• Journal Article Type: Article
• Acceptance Date: Mar 29, 2019
• Online Publication Date: Apr 2, 2019
• Publication Date: Apr 2, 2019
• Deposit Date: Apr 3, 2019
• Publicly Available Date: Apr 4, 2019
• Journal: Energies
• Electronic ISSN: 1996-1073
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 7
• Article Number: 1266
• DOI: https://doi.org/10.3390/en12071266
• Public URL: https://durham-repository.worktribe.com/output/1304806