Bulk power system availability assessment with multiple wind power plants

The use of renewable non-conventional energy sources, as wind electric power and photovoltaic solar energy, has introduced uncertainties in the performance bulk systems. system availability been employed a useful tool for planning systems; however, traditional methodologies model generation units component with two states: service or out service. Nevertheless, this is not to plants assessment system. This paper used statistical representation uncertainty injection based on central moments: mean value, variance, skewness kurtosis. In addition, proposed an methodology application model, 2m+1 point estimate method performed. was tested IEEE-RTS assuming connection different correlation among behavior these plants.