Artificial Neural Network for Transient Stability Assessment: A Review

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 systems 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 networks can play a significant role in this regard. Therefore, this paper aims to review the application of artificial neural networks 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.