Artificial Neural Network for Power System Static Security Assessment: A Survey

According to the growth rate of machine learning (ml) application in some power system subjects, this paper introduce a comprehensive survey of artificial neural network (ann) in static security assessment (ssa). advantages and disadvantages of using ann in above mentioned subjects and the main challenges in these fields have been explained, too. we explore the links between the fields of ssa and nn in a unified presentation and identify key areas for future research. recent developments in the solution methods for ssa are reviewed. hybrid techniques in ssa are also discussed and reviewed and future directions for research are suggested.