  Integration of large-scale renewable energy sources and increasing
uncertainty has drastically changed the dynamics of power system and has
consequently brought various challenges. Rapid transient stability assessment
of modern power system is a vital requirement for accurate power system
planning and operation. The conventional methods are unable to fulfil this
requirement. Therefore, novel approaches are required in this regard. Machine
leaning approaches such as artificial neural network can play a significant
role in this regard. Therefore, this paper aims to review the application of
artificial neural network for transient stability assessment of power systems.
It is believed that this work will provide a solid foundation for researchers
in the domain of machine learning applications to power system security and
stability.
