A New Approach to Estimation of Signal Components for Fault Detection

Abstract

A new algorithm for estimating the fundamental and harmonic components during normal and high impedance fault contents in a power system is proposed in this paper. The approach involves the use of a linear transfer function model for the fault induced signals embedded in noise, excited by a unit impulse input. A set of linear prediction equations is then formed from this model and is solved using partial total least squares approach, to extract the time varying fundamental and harmonic components during a high impedance fault on a power system. The proposed scheme is suitable for fault induced time varying signals with large noise input such as high impedance faults. Simulation results for the field recorded time varying waveforms are presented to illustrate this approach.

Indexing terms:

• Power systems
• High impedance fault contents
• Signal components
• Partial total least squares approach