A digital signal processor implementation of three algorithms used to detect high impedance faults. The algorithms can be wavelet based, higher order statistics based and neural network based. The algorithms are modified to process one second of data instead of ten seconds of data and a double buffered acquisition is connected to the output of the algorithms.
CROSS REFERENCE TO RELATED APPLICATION
This application claims the priority of U.S. provisional patent application Ser. No. 60/553,504 filed on Mar. 16, 2004, entitled "Digital Signal Processor Implementation Of High Impedance Fault Algorithms" the contents of which are relied upon and incorporated herein by reference in their entirety, and the benefit of priority under 35 U.S.C. 119(e) is hereby claimed.
A method for detecting stator ground faults in a generator is described. The method includes receiving a neutral voltage signal from a neutral point of a stator, receiving a plurality of terminal voltage and current signals from the stator, deriving a magnitude of a harmonic component from the neutral voltage signal, deriving a total complex power from the terminal voltage and current signals, calculating an expected value of a harmonic based on the complex power at a first time and a plurality of values of the complex power, where the values of the complex power are measured at times before the first time, and comparing the expected value and a measured value of the harmonic.
