Probabilistic analysis of the effect of wind speed variations on power quality of power systems

Power system probabilistic-based studies have been performed for many years and are widely accepted by researchers and utilities. Such studies are capable of considering uncertainties of power system such as random failures of equipment and uncertainties in load forecast. With the increase of the penetration of renewable energy sources to power systems, new and additional uncertainties are needed to be considered in power system analysis. This paper presents a study methodology for evaluating the effect of wind speed variations on the power quality of power systems. A Monte Carlo Simulation method is used in the studies described in this paper assuming wind speed follows a Weibull distribution. Power flow is performed using a commercial program.

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