Combined Genetic Algorithms and Neural-Network Approach for Power-System Transient Stability Evaluation

摘要

As the electric power system grows in size and complexity with a large number of interconnections, the assess- ment of the transient stability of power systems became an extremely intricate and highly non-linear problem Its solution needs either numerical methods involving bulk computations or specific dedicated methods to analyse dynamic non -linear systems. Either method mostly assesses, particularly in the post-fault condition, the critical clearing time (CCT) This parameter constitutes very complex functional relationships between the pre-fault con- dition, type, and location of fault beside the clearance sequence.