Three dimensional clustering in wind farms with storage for reliability analysis

This paper presents an efficient three dimensional clustering methodology for reliability evaluation of wind farms. There is a pattern of correlation between wind speed and load over time. Clustering approach is proposed to deal with this correlation between these two quantities As the wake effect is integrated into wind farm, wind direction is also an important factor to determine system reliability. So the paper suggests an effective three dimension clustering approach including wind direction for calculating and comparing reliability indices. We use wind data from National Climatic Data Center, and load from IEEE Reliability Test Systems.