Transient staiblity analysis by adaptive neuro fuzzy inference system and sobol sequence

It is known that the time domain is an accurate method that is used for the assessment of transient stability and critical clearing time for any power systems. However, the time domain method normally takes a long time for the calculation due to many differential and non-linear equations, thus it may not be appropriate to apply with the real-time analysis, especially the large power system. We try to find any approaches to minimize the computation time and maximize the accuracy of results as much as possible. This paper therefore proposes a method using adaptive neuro fuzzy inference system and sobol sequence for solving the critical clearing time. The approach proves that it can give us the satisfactory prediction of critical clearing time even for a large power system. The result obtained by adaptive neuro fuzzy inference system are also compared to the result obtained by means of artificial neural network being generally used for the power system analysis.