| Title |
A Method to Improve the Reliability of an Arc Fault Detection in Photovoltaic System |
| DOI |
http://doi.org/10.5207/JIEIE.2024.38.3.242 |
| Keywords |
Arc detection; Arc fault; Power spectrum density; PV system; UL1699B |
| Abstract |
This paper proposed a method to improve the reliability of the method for detecting arc faults, which is one of the caused of fires occurring in solar power generation systems, and confirmed the results through experimental results. In order to improve the detection reliability of arc faults, a method of applying three major factors was proposed. First, as a method of selecting the frequency band related to arc faults, the frequency band was selected from 10kHz to 70kHz by excluding power noise and EMI/EMC noise components. Second, the average value of the power spectrum density was calculated for each section in the 10kHz range rather than calculating the average value with the entire data in the corresponding section. Third, the size of the noise component was attenuated using a moving average. The arc fault detection results were compared with the existing method using an arc fault detection algorithm applying three factors. At this time, it was confirmed that the method presented in this paper had the highest arc fault detection rate of 96.5%. And it was confirmed that the th acr fault detection rate was improved by about 20% compared to the previous method. |