Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR

Edun, Ayobami S.; Kingston, Samuel; LaFlamme, Cody; Benoit, Evan; Scarpulla, Michael A.; Furse, Cynthia M.; Harley, Joel B.

doi:10.1109/jphotov.2021.3081437

Title: Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR

Journal Article · 01 June 2021 · IEEE Journal of Photovoltaics

DOI: https://doi.org/10.1109/jphotov.2021.3081437 · OSTI ID:2234297

^[1]; Kingston, Samuel ^[2];

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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)

In this paper, we explore the possibility of using spread spectrum time domain reflectometry (SSTDR) for detecting disconnections in a large-scale photovoltaic (PV) array. We discuss the importance, role, and trade-offs of SSTDR resolution, frequency, and attenuation in detecting disconnects in the system. Our results show that if the proper system parameters are chosen, disconnections can be detected in a 1-kV system consisting of twenty-six 60-cell PV panels and located within 1.52 m for the first 22 modules.

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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:: 2234297

Journal Information:: IEEE Journal of Photovoltaics, Journal Name: IEEE Journal of Photovoltaics Journal Issue: 4 Vol. 11; ISSN 2156-3381

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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14 SOLAR ENERGY
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photovoltaics (PVs)
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Title: Detection and Localization of Disconnections in a Large-Scale String of Photovoltaics Using SSTDR

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