Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Field implementation and trial of coordinated control of wind farms.

Ahmad, T. and Coupliac, O. and Petit, A. and Guignard, S. and Girard, N. and Kazemtabrizi, B. and Matthews, P. (2018) 'Field implementation and trial of coordinated control of wind farms.', IEEE transactions on sustainable energy., 9 (3). pp. 1169-1176.

Abstract

This paper demonstrates, with live field experiment, the potential of increasing wind farm production through minimising wake effects by curtailing upstream wind turbines. Two 2MW turbines from the SMV (Le Sole de Moulin Vieux) wind farm are used for this. The farm is equipped with state of the art LiDARs (Light Detection And Ranging) for measuring wind characteristics, at a frequency of 1Hz. Simulations are performed using WindPRO for wake effects prediction. Optimised curtailment strategies are simulated for finding optimum curtailment settings of the upstream turbine. Results based on real time data are compared with simulated results. It is found that simulations are mostly in good agreement with field results, with a maximum difference of 1.5%. Analysis shows that a gain of up to 11.5% is possible in downstream turbine production, using a hard curtailment strategy by reducing power of the upstream turbine by about 17%. In this experiment, the combined production of the two turbines decreased with the hard curtailment strategy, indicating that the upstream turbine must be optimally curtailed for avoiding any production loss. To the best knowledge of the authors, this is the first practical implementation of LiDAR based coordinated control strategies in an operating wind farm.

Item Type:Article
Keywords:Coordinated control of wind farms, wind farm power production maximisation, wind farm control and optimisation, wake mitigation, LiDAR based wind farm control.
Full text:(AM) Accepted Manuscript
Download PDF
(1812Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1109/tste.2017.2774508
Publisher statement:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date accepted:02 October 2017
Date deposited:15 November 2017
Date of first online publication:16 November 2017
Date first made open access:15 November 2017

Save or Share this output

Export:
Export
Look up in GoogleScholar