Probabilistic assessment of operational risk considering different wind turbine technologies

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.