A Particle Swarm Optimization Fault Location Method Considering Terminal Reflection Phase Shift

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%.