Quantifying the Environmental Sensitivity of SSTDR Signals for Monitoring PV Strings
Current spread spectrum time-domain reflectometry (SSTDR) fault detection methods in photovoltaics compare measurements with a fault-free baselin.Yet, environmental factors, such as illuminance, temperature, and humidity, affect these signals and can negatively affect our ability to detect and locat...
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| Veröffentlicht in: | IEEE journal of photovoltaics 2022-01, Vol.12 (1), p.381-387 |
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| container_title | IEEE journal of photovoltaics |
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| creator | LaFlamme, Cody Benoit, Evan Edun, Ayobami Furse, Cynthia M. Kuhn, Paul K. Scarpulla, Michael A. Harley, Joel B. |
| description | Current spread spectrum time-domain reflectometry (SSTDR) fault detection methods in photovoltaics compare measurements with a fault-free baselin.Yet, environmental factors, such as illuminance, temperature, and humidity, affect these signals and can negatively affect our ability to detect and locate faults. This article explains and quantifies the effects of environmental factors on SSTDR measurements. We demonstrate that illuminance, temperature, and humidity each significantly affect reflections from photovoltaic panels, which require the use of up to 240 baselines to prevent environmental variation from obscuring faults. We present a method to determine the number of required baselines in any given climate and motivate future work in baseline prediction. |
| doi_str_mv | 10.1109/JPHOTOV.2021.3127465 |
| format | Article |
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This article explains and quantifies the effects of environmental factors on SSTDR measurements. We demonstrate that illuminance, temperature, and humidity each significantly affect reflections from photovoltaic panels, which require the use of up to 240 baselines to prevent environmental variation from obscuring faults. 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| subjects | Circuit faults Condition monitoring Data models electrical fault detection Energy & Fuels Fault detection Fault location Humidity Humidity measurement Illuminance Materials Science modeling Photovoltaic cells photovoltaic systems Physics power system faults reflectometry Signal monitoring Spread spectrum spread spectrum time domain reflectometry (SSTDR) Temperature measurement Training |
| title | Quantifying the Environmental Sensitivity of SSTDR Signals for Monitoring PV Strings |
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