[논문]DWT 및 고주파 노이즈 성분 분석을 이용한 PV 시스템 인버터 노이즈 구분 및 직렬 아크 검출

안재범; 조현빈; 이진한; 조찬기; 이기덕; 이진; 임승범; 류홍제

doi:10.6113/tkpe.2021.26.4.271

[국내논문] DWT 및 고주파 노이즈 성분 분석을 이용한 PV 시스템 인버터 노이즈 구분 및 직렬 아크 검출
Separation Inverter Noise and Detection of DC Series Arc in PV System Based on Discrete Wavelet Transform and High Frequency Noise Component Analysis 원문보기

전력전자학회 논문지 = The Transactions of the Korean Institute of Power Electronics, v.26 no.4, 2021년, pp.271 - 276

안재범 (Dept. of Energy Systems Engineering, Chung-Ang University) , 조현빈 (Dept. of Energy Systems Engineering, Chung-Ang University) , 이진한 (Dept. of Energy Systems Engineering, Chung-Ang University) , 조찬기 (Laser Weapon Systems PMO, Agency for Defense Development) , 이기덕 (Research & Development Center, O&M KOREA) , 이진 (Research & Development Center, O&M KOREA) , 임승범 (Eon Co., Ltd) , 류홍제 (Dept. of Energy Systems Engineering, Chung-Ang University)

Abstract ▼ AI-Helper

Arc fault detector based on multilevel DWT with analysis of high-frequency noise components over 100 kHz is proposed in this study to improve the performance in detecting serial arcs and distinguishing them from inverter noise in PV systems. PV inverters generally operate at a frequency range of 20-50 kHz for switching operation and maximum power tracking control, and the effect of these frequency components on the signal for arc detection leads to negative arc detection. High-speed ADC and multilevel DWT are used in this study to analyze frequency components above 100 kHz. Such high frequency components are less influenced by inverter noise and utilized to detect as well as separate DC series arc from inverter noise. Arc detectors identify the input current of PV inverters using a Rogowski coil. The sensed signal is filtered, amplified, and used in 800kSPS ADC and DWT analysis and arc occurrence determination in DSP. An arc detection simulation facility in UL1699B was constructed and AFD tests the proposed detector were conducted to verify the performance of arc detection and performance of distinction of the negative arc. The satisfactory performance of the arc detector meets the standard of arc detection and extinguishing time of UL1699B with an arc detection time of approximately 0.11 seconds.

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표/그림 (8)

그림 Fig. 1. Arc fire hazard picture of PV system in Delanco, New Jersey, US in september 2013.
그림 Fig. 2. Frequency analysis diagram of discrete wavelet transform.
그림 Fig. 3. Multi level discrete wavelet transform algorithm flow chart.
표 TABLE I FREQUENCY RANGE AND SIGNAL LENGTH OF EACH LEVEL FLUCTUATION SIGNAL
그림 Fig. 4. DC series arc test system based on UL1699B. (a) Configure, (b) Facility setup.
그림 Fig. 5. Waveforms of arc fault detection test with Photovoltaic inverter operation. (a) Mode 1, (b) Mode 4.
그림 Fig. 6. A picture of arc generation with electric arc generator.
그림 Fig. 7. Comparison of discrete wavelet transform analysis results in normal state and arc state. (a) UL1699B mode 1, (b) UL1699B mode 4.

참고문헌 (11)

Allianz Global Corporate & Specialty SE, "Fire hazard of photovoltaic (PV) systems," Tech Talk, Vol. 8, 2019.
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상세보기
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