DocumentCode
1875241
Title
Collective control of a cluster of stall regulated wind turbines
Author
Hur, Seop ; Leithead, W.E.
Author_Institution
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
fYear
2012
fDate
8-9 Sept. 2012
Firstpage
1
Lastpage
8
Abstract
Collective control of a small cluster of wind turbines using a single controller is investigated to enable simplification of the turbines. For simplicity, reduced cost, and possibly improved reliability, each turbine is constant speed stall regulated. In return, each turbine experiences reduced energy capture and increased loads, and these disadvantages become greater as the number of wind turbines in the cluster increases. In this paper, a cluster consisting of 5 turbines is assessed in comparison to the situation with each turbine having its own converter and controller. A new collective control strategy that acts in response to the poorest control is proposed as opposed to acting in response to the average control. The control strategy is applied to a cluster model, which is also developed in this paper by modifying a Matlab/SIMULINK® simulation model of the SUPERGEN 5MW exemplar wind turbine, and simulation results demonstrate that the control strategy could be more cost effective than each turbine having its own converter and controller, especially with optimal design of rotors.
Keywords
cost reduction; optimal control; power convertors; power generation control; power generation economics; wind power plants; wind turbines; Matlab-SIMULINK simulation model; SUPERGEN exemplar wind turbine; cluster model; collective control strategy; constant speed stall regulation; cost reduction; energy capture reduction; optimal controller design; power 5 MW; power converter; reliability; stall regulated wind turbine; Model Predictive Control; Wind turbine control; collective control; wind turbine modelling;
fLanguage
English
Publisher
iet
Conference_Titel
Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
Conference_Location
Hangzhou
Electronic_ISBN
978-1-84919-673-4
Type
conf
DOI
10.1049/cp.2012.1779
Filename
6493098
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