研究目的
Investigating the fast detection of series electrical arc (SEA) fault in a photovoltaic (PV) system.
研究成果
The proposed method enables fast and accurate detection of SEA faults, while it can eliminate false tripping which could be caused by transients in normal operation. The detection time is less than 10 ms, which is faster than in methods summarized in Ahmadi et al.
研究不足
The method requires voltage and current measurements at the PV array connection point. The performance may be affected by surrounding noise.
1：Experimental Design and Method Selection:
The method relies on a power converter output switching waveforms as the excitation signal used to identify PV small‐signal impedance at switching frequency. It also extracts the high frequency noise power value caused by SEA from the PV current.
2：Sample Selection and Data Sources:
Measurements are performed on a commercial grid‐connected PV system, which consists of six PV panels connected in series.
3：List of Experimental Equipment and Materials:
Custom‐made acquisition system based on STM32F407G‐DISC1, voltage resistor divider, current Hall sensor LTS 15‐NP, custom current transformer, bandpass filter.
4：Experimental Procedures and Operational Workflow:
The electric arc was generated with a custom‐made SEA generator. Three signals were recorded in parallel with 12‐bit ADC at a 200‐kHz sample rate.
5：Data Analysis Methods:
The proposed method uses SOGI‐based QSGs and SRF‐PLL for impedance estimation and noise power monitoring.
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STM32F407G‐DISC1
STM32F407G‐DISC1
STMicroelectronics
Custom‐made acquisition system
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Fluke i30s
i30s
Fluke
Current clamp
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LTS 15‐NP
LTS 15‐NP
LEM
Current Hall sensor
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T106‐52
T106‐52
Micrometals
Wounding toroid core for custom current transformer
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First Solar ZDNY‐235P60
ZDNY‐235P60
First Solar
PV panels
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SG 1K5TL‐31
SG 1K5TL‐31
PV inverter
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TMS320F28377D
TMS320F28377D
Texas Instruments
Digital signal processor
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