Quality Optimization of Transmission Line Fault Detection Algorithm based on Embedded Chip

The existing optimization methods have the problem of imperfect optimization model, which leads to short fault detection distance. This paper designs a quality optimization method of transmission line fault detection algorithm based on embedded chip. Obtain the reflection and transmission coefficients of the transmission line, and clarify the attenuation laws of voltage waves and current waves. Construct an optimized model of the fault detection algorithm, calculate the distance from the impedance mismatch point to the measurement point, and determine the time when the fault occurs. Based on the phase mode conversion of the embedded chip, the waves arriving at both ends of the line are captured, and the quality optimization mode is set using the simulated annealing algorithm to realize the design of the optimization method. Experimental results: the average fault detection distance between the optimization method and the two existing optimization methods is 109.711km, 63.0289km and 62.6666km respectively, which proves that the optimization method combined with embedded chip is more suitable for power engineering.