EconPapers    
Economics at your fingertips  
 

Fast Processing Intelligent Wind Farm Controller for Production Maximisation

Tanvir Ahmad, Abdul Basit, Juveria Anwar, Olivier Coupiac, Behzad Kazemtabrizi and Peter C. Matthews
Additional contact information
Tanvir Ahmad: US Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology (UET), Peshawar 25000, Pakistan
Abdul Basit: US Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology (UET), Peshawar 25000, Pakistan
Juveria Anwar: US Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology (UET), Peshawar 25000, Pakistan
Olivier Coupiac: Engie Green, 59777 Lille, France
Behzad Kazemtabrizi: School of Engineering, Durham University, Durham DH1 3LE, UK
Peter C. Matthews: School of Engineering, Durham University, Durham DH1 3LE, UK

Energies, 2019, vol. 12, issue 3, 1-17

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 ( C P ) 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.

Keywords: wind farm production maximisation; coordinated control; C P -based optimisation; yaw-based optimisation; wake effects; turbulence intensity; Jensen model; particle swarm optimisation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/3/544/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/3/544/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:3:p:544-:d:204583

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:544-:d:204583