Transmission line faults detection and classification using new tripping characteristics based on statistical...

Area of Science:

• Electrical Engineering
• Power Systems Protection

Background:

• Power transmission lines (TLs) are vital for reliable electricity delivery.
• Rapid and accurate fault detection and classification are crucial for power system stability.

Purpose of the Study:

• To propose a novel coherence-based protection scheme for transmission line fault detection and classification.
• To introduce a new tripping characteristic model using coherence coefficients.

Main Methods:

• A coherence-based protection scheme was developed and tested.
• Current waves from the TL sending end were analyzed using six coherence coefficients.
• Simulations were conducted in ATP software, with analysis in MATLAB.

Main Results:

• The scheme successfully detected and classified all ten shunt faults within half a cycle.
• Protection security, sensitivity, and response speed were improved by adjusting settings.
• Performance was validated under various fault conditions (type, location, resistance, inception angle, power flow angle).

Conclusions:

• The proposed coherence-based scheme offers a fast, reliable, and accurate solution for transmission line protection.
• The technique is applicable to both conventional and smart grids, independent of system equipment specifications.