Impact of Large Penetration of Correlated Wind Generation on Power System Reliability:Conclusions


This chapter proposed a model for representing statistically dependent time- varying variables in nonsequential MCS. The model was used to evaluate the reliability of a system in which there is temporal dependence between four temporal variables (three winds and the load).

The results showed that the model can correctly represent the effect of statistical dependence, what is normally achieved by sequential simulation. The independent model was also applied and proved to be incorrect when the time series correlation values are significant.

The proposed model to represent statistical dependence is a good alternative to deal with multiple time-varying elements in nonsequential simulation with a reduced computational effort. This facility gains importance nowadays with the large penetration of wind generation that is being observed all over the world, both onshore and offshore.

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