Field Implementation and Trial of Coordinated Control of Wind Farms
Ahmad, T.; Coupliac, O.; Petit, A.; Guignard, S.; Girard, N.; Kazemtabrizi, B.; Matthews, P.
Dr Behzad Kazemtabrizi firstname.lastname@example.org
Dr Peter Matthews email@example.com
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.
Ahmad, T., Coupliac, O., Petit, A., Guignard, S., Girard, N., Kazemtabrizi, B., & Matthews, P. (2018). Field Implementation and Trial of Coordinated Control of Wind Farms. IEEE Transactions on Sustainable Energy, 9(3), 1169-1176. https://doi.org/10.1109/tste.2017.2774508
|Journal Article Type||Article|
|Acceptance Date||Oct 2, 2017|
|Online Publication Date||Nov 16, 2017|
|Publication Date||Jul 1, 2018|
|Deposit Date||Jul 13, 2017|
|Publicly Available Date||Nov 15, 2017|
|Journal||IEEE Transactions on Sustainable Energy|
|Publisher||Institute of Electrical and Electronics Engineers|
|Peer Reviewed||Peer Reviewed|
|Keywords||Coordinated control of wind farms, wind farm power production maximisation, wind farm control and optimisation, wake mitigation, LiDAR based wind farm control.|
Accepted Journal Article
© 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.
You might also like
Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game
Appliance Classification using BiLSTM Neural Networks and Feature Extraction
Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms
Fast Processing Intelligent Wind Farm Controller for Production Maximisation