Research on fault location algorithm of TPSS based on PSOA.

Area of Science:

• Electrical Engineering
• Transportation Systems
• Control Systems

Background:

• Safe operation of urban rail transit relies heavily on effective traction power supply system (TPSS) protection technology.
• TPSS components include rails, return cables, and potential limiting devices, all susceptible to faults.
• Understanding the dynamic characteristics of TPSS is crucial for developing robust protection strategies.

Purpose of the Study:

• To develop an advanced fault location algorithm for TPSS in urban rail transit.
• To improve the safety and efficiency of urban rail transit operations through enhanced TPSS protection.
• To provide a reliable method for monitoring and managing TPSS performance.

Main Methods:

• A fault location algorithm based on particle swarm optimization algorithm (PSOA) was developed, considering TPSS dynamic characteristics.
• Multi-point monitoring data evaluation using fuzzy processing of polarization potential forward deviation and multi-attribute decision-making.
• Determination of monitoring points and threshold values based on stray current distribution laws.

Main Results:

• The proposed TPSS fault location algorithm (TPSSOA) achieved optimal discharge current control.
• Significant reduction in network losses and improvement in power quality were observed.
• Field-measured data validated the high usability and effectiveness of the developed method.

Conclusions:

• The developed fault location algorithm offers a practical and effective solution for TPSS protection in urban rail transit.
• The method provides valuable guidance for future TPSS design and implementation.
• Optimized discharge current control and improved power quality contribute to safer and more efficient rail operations.