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Fast processing intelligent wind farm controller for production maximisation.

Ahmad, Tanvir and Basit, Abdul and Anwar, Juveria and Coupiac, Olivier and Kazemtabrizi, Behzad and Matthews, Peter (2019) 'Fast processing intelligent wind farm controller for production maximisation.', Energies., 12 (3). p. 544.

Abstract

A practical wind farm controller for production maximisation based on coordinated control is presented. The farm controller emphasises computational efficiency without compromising accuracy. The controller combines particle swarm optimisation (PSO) with a turbulence intensity–based Jensen wake model (TI–JM) for exploiting the benefits of either curtailing upstream turbines using coefficient of power ( CP ) or deflecting wakes by applying yaw-offsets for maximising net farm production. Firstly, TI–JM is evaluated using convention control benchmarking WindPRO and real time SCADA data from three operating wind farms. Then the optimised strategies are evaluated using simulations based on TI–JM and PSO. The innovative control strategies can optimise a medium size wind farm, Lillgrund consisting of 48 wind turbines, requiring less than 50 s for a single simulation, increasing farm efficiency up to a maximum of 6% in full wake conditions

Item Type:Article
Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution.
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.3390/en12030544
Publisher statement:This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Date accepted:06 February 2019
Date deposited:13 February 2019
Date of first online publication:10 February 2019
Date first made open access:13 February 2019

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