Online Decision Tree based strategy for power system static security margin improvement using wind farms

• Using wind farms to improve the margin of the static security.
• Using Nataf transformation (for the first time) to generate random correlated data for security assessment purpose.
• Proposing Decision Tree-based algorithm to improve the static security margin.
• Presenting a novel cascaded algorithm using Nataf transformation, DT and PCA for static security margin assessment.

In this paper wind farms (WFs) are used to improve the security margin of power system. Feature extraction method is used to save all features effect on the security of power system. The proposed method is implemented on IEEE 39-bus network and the results show its effectiveness on the static security margin. It should be mentioned that the proposed method can deal with correlated random variables.