DocumentCode :
3384129
Title :
Probabilistic assessment of operational risk considering different wind turbine technologies
Author :
Gonzalez-Longatt, F. ; Rueda, Jose L. ; Bogdanov, Dan
Author_Institution :
Fac. of Comput. & Eng, Coventry Univ., Coventry, UK
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents an assessment of the variability on the output power of three different types of wind turbines commercially available. The dynamic response of terminal voltage, active power and reactive power are evaluated using time-domain simulations obtained from DIgSILENT® PowerFactory™. The assessment of the variability is performed based on probability density function, Pearson correlation coefficient and scatterplots. Results of this evaluation demonstrated that variable speed wind turbines using synchronous generator exhibits the better dynamic performance considering the wind speed changes, and highlight the need of smart grid oriented control strategies aiming at coordinated management of individual wind turbine controllers to avoid adverse implications of wind speed fluctuation.
Keywords :
power generation control; power system management; probability; reactive power; risk management; synchronous generators; wind turbines; DIgSILENT PowerFactory; Pearson correlation coefficient; coordinated management; individual wind turbine controller; operational risk; output power variability; probabilistic assessment; probability density function; reactive power; scatter plot; smart grid oriented control strategy; synchronous generator; terminal voltage; time-domain simulation; wind speed fluctuation; wind turbine technology; Correlation; Reactive power; Rotors; Wind power generation; Wind speed; Wind turbines; Monte Carlo method; probabilistic modeling; risk assessment; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
Conference_Location :
Berlin
ISSN :
2165-4816
Print_ISBN :
978-1-4673-2595-0
Electronic_ISBN :
2165-4816
Type :
conf
DOI :
10.1109/ISGTEurope.2012.6465680
Filename :
6465680
Link To Document :
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