Optimization Design of Detector for Steel Core Broken Strand Faults in Transmission Line Based on Niche Genetic Algorithm

Abstract

Overhead transmission lines generally operate in the wild harsh environment and steel stranded wire in aluminum conductor steel-reinforced(ACSR) may be damaged by different kinds of reasons,so that detection for broken strands of steel core timely is an important mean to insure safety operation of transmission lines.The detection scheme for broken strands of ACSR by transmission lines inspection robot with detectors is a method with good prospect.A detector based on magnetic flux leakage(MFL) theory for broken strand of steel core in ACSR was developed;the steel core in ACSR can be magnetized by 48H Nd-Fe-B rare earth permanent magnet,and optimization design model of the detector was proposed,in which achieving minimal weight of detector was selected as the object function in constraint condition of the radial width and the radial width along the transmission line.The optimized model of detector was solved by the modified niche adaptive genetic algorithm(NAGA).Theoretical analysis and application results show that the weight of detector is decreased and the carrying capacity of transmission line inspect robot is improved significantly in condition of magnetization requirement.The detector for broken strands proposed by this paper and its optimized method can be applied to different types of ACSR.