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UL 1699B 기반 태양광 DC 직렬 아크 검출에 필요한 FFT와 DWT 기법 비교 분석 연구
전준태(Jeon Juntae),박태준(Park Taejun),임선우(Lim Sunwoo),도진호(Do Jinho),이효준(Lee Hyojun),김범준(Kim Beomjun),이영권(Lee Youngkwon),송승호(Song Seungho),최주엽(Choi Juyeop) 한국태양에너지학회 2024 한국태양에너지학회 논문집 Vol.44 No.3
Considering the dangers of DC serial arcs in PV systems and the time when arcs are caused by electrical fire, we aimed to quickly detect DC serial arcs within 0.5 s. To quickly analyze and identify the frequency characteristics of arcs, fast Fourier transform (FFT) and discrete wavelet transform (DWT), which have been the most widely used frequency analysis methods in recent years, were compared and analyzed to implement an algorithm for detecting the most accurate and efficient DC arc. In this study, an experiment was conducted based on the UL 1699B arc test conditions. At this time, the arc energy does not exceed 750 J, and the arc must be detected within 2.5 s. In the overall process, components other than the arc were removed by applying a band pass filter to detect a specific frequency component of the arc. ADC was performed to convert the current value into a digital signal, and signal processing was performed using FFT and DWT using the filtered signal. Finally, after calculating the energy, which is a component of the frequency for each specific period, the threshold of each energy value was set to determine whether the arc exceeds a specific threshold.