ANALYSIS OF INFLUENCE OF POWER QUALITY DISTURBANCES USING A NEURO-FUZZY SYSTEM

Abstract

The authors propose an automated neuro-fuzzy system approach (with neural network subsystem) to power quality assessment incorporating equipment susceptibility patterns. The system is expected to handle dependencies between superposition of different disturbances and specific devices ’ susceptibility to disturbances. Two neural network architectures were applied: a well known radial-basis neural networks for automatic rules’ generation and a neuro-fuzzy system for overlaid disturbances influence modeling. Proposed approach can help to predict damages or abnormal functioning of devices and implement adequate countermeasures