Computational Intelligence combines neural network, fuzzy systems and evolutional computing. Neurofuzzy integrated system utilizes features of both Neural and Fuzzy networks together for better results by which generalization of the unseen data from seen data by forming the fuzzy rules and training. In this project training of the system with training data which usually is 70% of the whole avai...

This paper presents the solutions of a real-time parallel-processing based simulator, eMEGAsim, to perform electromagnetic transient and transient stability simulations for distribution power networks. The electromagnetic transient simulation can be distributed into several processors without adding an artificial delay, and the transient stability simulation tool can model three-phase unbalance...

To achieve rapid real-time transient stability prediction, a power system transient stability prediction method based on the extraction of the post-fault trajectory cluster features of generators is proposed. This approach is conducted using data-mining techniques and support vector machine (SVM) models. First, the post-fault rotor angles and generator terminal voltage magnitudes are considered...

We are indebted to Professor S. Rovnyak for his appreciation and thoughtful comments. The questions raised in his discussion give us the opportunity to clarify some key issues of the FILTRA technique and, more generally, to elaborate further on the SIME method and its two-faceted approach to transient stability assessment and control. In the following we consider his questions in the same order...