Research on intelligent localization of partial discharges based on a database

In GIS (Gas Insulated Substation), precise localization of partial discharges (PD) holds significant importance. Currently, there exist limitations in the localization techniques within GIS partial discharge online monitoring systems. Leveraging the advantages of emerging digital twins, this paper conducts research on intelligent localization of partial discharges based on digital twins. A database-driven GIS partial discharge intelligent localization technique is proposed. Initially, a digital twin model of a typical GIS is established, and a database is formed by computing the shortest propagation distances between any two points within the model. Upon receiving signals from Ultra-High Frequency (UHF) sensors, the localization of the partial discharge signal source is automatically accomplished using the Time-of-Arrival (TOA) method. Through simulation experiments, the effectiveness of the algorithm presented in this paper is validate.