Analysis of SSR using artificial neural networks power systemsimulation

摘要

Artificial neural networks (ANNs) are being advantageously appliedto power system analysis problems. They possess the ability to establishcomplicated input-output mappings through a learning process, withoutany explicit programming. In this paper, an ANN based method forsubsynchronous resonance (SSR) analysis is presented. The designed ANNoutputs a measure of the possibility of the occurrence of SSR and isfully trained to accommodate the variations of power system parametersover the entire operating range. The effectiveness of this approach istested by experimenting on the first bench mark model proposed by IEEETask Force on SSR