A proposal technique of high impedance fault detection using adaptive neuro- fuzzy logic control

الملخص EN

High impedance fault HIF produced when an energized conductor falls and contact with an objects have high impedance like: tree limb, concrete walls, or falls down to the ground.

The importance of these undetectable faults is represent a safety hazard, also a risk of arcing that causes ignition of fires.

This type of fault is cannot be detected by overcurrent protections .

The techniques of detecting HIFs are depending on harmonic analysis of the line current.

In this paper, a proposed technique used depending on the measure of the 3rd harmonic.

Takagi-Sugeno fuzzy controller is proposed and the rules are trained off-line.

The practical results show the ability of the controller to detect and distinguish the HIF with high accuracy.

The magnitude and angle of 3rd harmonic were 1% of fundamental and 800 respectively.

The experiment results obtained using the NI 6250 data acquisition board and Matlab real time toolbox.