An Online Detection and Remote Diagnosis System for Partial Discharge in Wind Farm Stations

Partial discharge, as an early sign of decreased insulation performance of power equipment, if not treated in a timely manner, may lead to a series of serious consequences such as short circuit, equipment damage, and even production stoppage. Due to the wide distribution range of wind turbines, they face many challenges such as difficulty in manual real-time detection and low efficiency. In order to ensure the normal operation of wind farm equipment, a partial discharge unmanned online detection system based on power dedicated network technology with STM32 microcontroller and wifi module as the core was designed. The upper computer program of the monitoring center was developed and debugged and optimized according to national standards in the laboratory and on-site, realizing unmanned remote automatic detection and fault diagnosis of partial discharge. The upper computer has a user-friendly interface and can perform data collection, reception, processing, analysis, alarm and historical data inquiry functions in the monitoring center, which can achieve real-time monitoring and management of partial discharge situation in wind farm stations.