Coherency Identification of Generating Units based on Neural Network

Abstract

In the modern era of power system security is very important. As complexity of power system increases, large data storage is required and its analysis makes it further complex. Algorithmic approaches are done by various existing methods such as Modal Analysis, empirical Based Simplifications, Coherency based techniques etc. In the proposed work Artificial Neural Network based techniques are developed for coherency identification and dynamic aggregation. Based on the transient stability analysis software the rotor angle oscillations of the different generating units in the system under study are estimated. The coherency index techniques are applied for clustering the coherent units.