A Particle Swarm Optimization Fault Location Method Considering Terminal Reflection Phase Shift
- Resource Type
- Conference
- Authors
- Song, Yu; He, Shaoyin; Xie, Yanzhao; Ning, Xinyu; Li, Yuxin; Gao, Cenyue; Tian, Shuang
- Source
- 2023 2nd International Conference on Power Systems and Electrical Technology (PSET) Power Systems and Electrical Technology (PSET), 2023 2nd International Conference on. :30-35 Aug, 2023
- Subject
- Power, Energy and Industry Applications
Uncertainty
Power transmission lines
Correlation
Simulation
Fault location
Reflection
Reflection coefficient
correlation coefficient
terminal model
PSO
natural frequencies
LCC-HVDC
fault location
- Language
This paper investigates how the accuracy of fault location is affected by the terminal reflection uncertainty and proposes a full-transient fault location method based on particle swarm optimization (PSO) algorithm to solve the location uncertainty bias. The LCC-HVDC system is taken as the research object, the maximum relative location error reach 9.3% and 17.96% for hundreds of kilometers line due to the uncertainty of the reflection coefficient of the converter station. The PSO algorithm is proposed to optimize the phase shift of the power transmission line boundary reflection coefficient, make the simulation natural frequency being closest to the real natural frequency which will erase the location further. The simulation result illustrates that the proposed method has a better robust ability to the terminal phase shift from the incomplete modeling whose maximum location error is less than 1%.