Optimization scheme of partial discharge location of external insulation based on 2‐D multiple signal classification algorithm

Partial discharge (PD) localization is critical to ensure the safe operation of power equipment. In this paper, an optimization scheme developed for PD positioning external insulation The based on eight-element cross sensor array receive ultrasonic signal generated by PD, and uses highly accurate 2-D multiple classification (2-D MUSIC) algorithm locate signal. Simulated adopted test scheme, results show that error less than 0.61° when signal-to-noise ratio (SNR) above −5 dB. addition, three models are tested at various locations. average azimuth errors 0.9°, 1.9°, 1.55° needle-plate, cone-plate, ball-plate models, respectively, pitch angle 0.75°, 2.1°, 1.4°, respectively. These needle-plate model has best effect. Simulations experiments also carried out double source scenario, within 2.2°. A location visualization equipment proposed applied on-site. capable satisfying requirements maintenance.