T. Ahmad
Field Implementation and Trial of Coordinated Control of Wind Farms
Ahmad, T.; Coupliac, O.; Petit, A.; Guignard, S.; Girard, N.; Kazemtabrizi, B.; Matthews, P.
Authors
O. Coupliac
A. Petit
S. Guignard
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 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.
Citation
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 |
Print ISSN | 1949-3029 |
Electronic ISSN | 1949-3037 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Issue | 3 |
Pages | 1169-1176 |
DOI | https://doi.org/10.1109/tste.2017.2774508 |
Keywords | Coordinated control of wind farms, wind farm power production maximisation, wind farm control and optimisation, wake mitigation, LiDAR based wind farm control. |
Public URL | https://durham-repository.worktribe.com/output/1353292 |
Files
Accepted Journal Article
(1.9 Mb)
PDF
Copyright 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.
You might also like
Statistical Evaluation of Wind Speed Forecast Models for Microgrid Distributed Control
(2022)
Journal Article
Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners
(2021)
Journal Article
Integrated condition-based maintenance modelling and optimisation for offshore wind farms
(2021)
Journal Article
Universal Branch Model for the Solution of Optimal Power Flows in Hybrid AC/DC Grids
(2020)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search