Principle and Modeling of Transformer Partial Discharge Pattern Recognition
Power transformers are important equipment in the power grid,and detecting the health status of partial discharge is beneficial for ensuring the safety and stability of the power system.Accurate identification of the different partial discharge modes is beneficial for power workers to grasp the insulation performance status and judge the operation status of transformers better.The overall idea and architecture of partial discharge pattern recognition are proposed,and three common models,including air gap discharge,corona discharge,and surface discharge,are theoretically analyzed and derived.Three partial discharge models,i.e.,phase,discharge amount,and PRPD spectra are obtained,which can provide a theoretical basis for partial discharge pattern recognition.
power transformerpartial dischargepattern recognition
NETL
NSTL
万方数据
维普
