Quantifying the Environmental Sensitivity of SSTDR Signals for Monitoring PV Strings

LaFlamme, Cody; Benoit, Evan; Edun, Ayobami; Furse, Cynthia M.; Kuhn, Paul K.; Scarpulla, Michael A.; Harley, Joel B.

doi:10.1109/jphotov.2021.3127465

Quantifying the Environmental Sensitivity of SSTDR Signals for Monitoring PV Strings

Journal Article · Tue Nov 30 00:00:00 EST 2021 · IEEE Journal of Photovoltaics

DOI:https://doi.org/10.1109/jphotov.2021.3127465· OSTI ID:2234307

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University of Florida, Gainesville, FL (United States); University of Florida
University of Utah, Salt Lake City, UT (United States)
University of Florida, Gainesville, FL (United States)

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. Here, we present a method to determine the number of required baselines in any given climate and motivate future work in baseline prediction.

View Accepted Manuscript (DOE)

Research Organization:: University of Utah, Salt Lake City, UT (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: EE0008169

OSTI ID:: 2234307

Alternate ID(s):: OSTI ID: 1980416

Journal Information:: IEEE Journal of Photovoltaics, Journal Name: IEEE Journal of Photovoltaics Journal Issue: 1 Vol. 12; ISSN 2156-3381

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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14 SOLAR ENERGY
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reflectometry
spread spectrum time domain reflectometry (SSTDR)

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