On Artificial Intelligence Approaches for Contingency Analysis in Power System Security Assessment

This paper presents a review of artificial-intelligence methodologies for contingency analysis for power system security. In the planning process, offline artificial intelligence methods can assist the operator with anticipatory information useful to preserve the steady state security of the system. In online operation stages, artificial intelligence techniques have been proposed to speed up and improve the accuracy of voltage-stability analysis and for contingency selection, without requiring a traditional mathematical model of the power grid. Furthermore, when the power grid is stressed, artificial intelligence approaches to dynamic contingency analysis are capable of empowering the operator to control the power grid in a more reliable and rapid fashion.