Probabilistic Assessment of Operational Risk Considering Different Wind Turbine Technologies

被引:0
|
作者
Gonzalez-Longatt, F. [1 ]
Rueda, J. L. [2 ]
Bogdanov, D. [3 ]
机构
[1] Coventry Univ, Fac Comp & Engn, Prioriy St, Coventry CV1 3FB, W Midlands, England
[2] Univ Duisburg Essen, Inst Elect Power Syst, D-47057 Duisburg, Germany
[3] Tech Univ Sofia, Sofia 1000, Bulgaria
来源
2012 3RD IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT EUROPE) | 2012年
关键词
Monte Carlo method; probabilistic modeling; risk assessment; wind power; VARIABLE-SPEED WIND; POWER-SYSTEM;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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 (R) PowerFactory (TM). 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.
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页数:6
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