METHOD FOR DETECTING FIRE-HAZARDOUS OPERATING MODES OF PHOTOVOLTAIC MODULES IN SOLAR POWER PLANTS

Abstract

This article addresses a current scientific and practical issue — improving fire safety levels at solar power plants by detecting fire-hazardous operating modes of photovoltaic (PV) modules. A novel method for automatic detection of hazardous conditions is proposed, based on data analysis obtained using an unmanned aerial vehicle (UAV) equipped with RGB and thermal (IR) cameras.

The method is based on the construction of a disjunctive normal form that incorporates a set of key indicators: defect type (damage or contamination), results of visual and thermal analysis, and the temperature of the bypass diode. An algorithm has been developed that not only detects potentially hazardous modules but also classifies the cause of the defect, enabling prompt decisions regarding maintenance or replacement of faulty equipment.

To implement the monitoring system, integration of the SCADA TRACE MODE software suite with UAVs is proposed, which provides real-time data collection and processing, result visualization, alarm generation, and maintenance recommendations. The use of additional temperature sensors to monitor the condition of bypass diodes is also envisaged.

This comprehensive system enhances monitoring efficiency, reduces response time to emergency situations, and mitigates the risk of fires at solar energy facilities.