The artificial neural network for estimation transient stability by relative unstable equilibrium point method (RUEP)

Due to the large number of faults that may face the electrical power system and the difficulty in making the system more stable by evaluating an accurate critical clearing time, in this research, the method of unstable equilibrium point (RUEP) was used in conjunction with the simulation method of the time domain, mainly using neural networks. To rapidly and accurately assess the critical clearing time (CCT) as an indicator of transient stability using a multi-layered neural network (MLP) as a relationship between input and output variables use neural networks. The IEEE-9BUS test system was used. After obtaining results for the research proposed method, it was found that it provides a fast and accurate tool for online transient stability assessment.