skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

This content will become publicly available on November 29, 2020

Title: Detection and Localization of Disconnections in PV Strings Using Spread-Spectrum Time-Domain Reflectometry

Abstract

This article describes the novel use of spread-spectrum time-domain reflectometry (SSTDR) for detecting and locating disconnection faults in photovoltaic (PV) power plants. We measure strings of cells and full-sized modules to understand how disconnections affect the reflectometry signature. PV modules correspond to reactive loads and disconnections in a PV string and cause distinguishable and measurable changes in SSTDR responses. Disconnection faults are manually introduced and correctly identified and localized applying the proposed technique. The SSTDR technique can detect and locate disconnects through at least eight 36-cell modules. Using the new technique described in this article, we can both detect and locate the disconnections within a 1-ft resolution, on average.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [1];  [1];  [1];  [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Univ. of Utah, Salt Lake City, UT (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1593088
Report Number(s):
NREL/JA-5K00-75087
Journal ID: ISSN 2156-3381
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Journal of Photovoltaics
Additional Journal Information:
Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 2156-3381
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; disconnection; fault location; photovoltaic cell; PV minimodule; PV module; PV string; reflectometry; solar cell; spread-spectrum time-domain reflectometry; SSTDR

Citation Formats

Saleh, Mashad Uddin, Deline, Chris, Kingston, Samuel, Jayakumar, Naveen Kumar Tumkur, Benoit, Evan, Harley, Joel B., Furse, Cynthia, and Scarpulla, Mike. Detection and Localization of Disconnections in PV Strings Using Spread-Spectrum Time-Domain Reflectometry. United States: N. p., 2019. Web. doi:10.1109/JPHOTOV.2019.2953392.
Saleh, Mashad Uddin, Deline, Chris, Kingston, Samuel, Jayakumar, Naveen Kumar Tumkur, Benoit, Evan, Harley, Joel B., Furse, Cynthia, & Scarpulla, Mike. Detection and Localization of Disconnections in PV Strings Using Spread-Spectrum Time-Domain Reflectometry. United States. doi:10.1109/JPHOTOV.2019.2953392.
Saleh, Mashad Uddin, Deline, Chris, Kingston, Samuel, Jayakumar, Naveen Kumar Tumkur, Benoit, Evan, Harley, Joel B., Furse, Cynthia, and Scarpulla, Mike. Fri . "Detection and Localization of Disconnections in PV Strings Using Spread-Spectrum Time-Domain Reflectometry". United States. doi:10.1109/JPHOTOV.2019.2953392.
@article{osti_1593088,
title = {Detection and Localization of Disconnections in PV Strings Using Spread-Spectrum Time-Domain Reflectometry},
author = {Saleh, Mashad Uddin and Deline, Chris and Kingston, Samuel and Jayakumar, Naveen Kumar Tumkur and Benoit, Evan and Harley, Joel B. and Furse, Cynthia and Scarpulla, Mike},
abstractNote = {This article describes the novel use of spread-spectrum time-domain reflectometry (SSTDR) for detecting and locating disconnection faults in photovoltaic (PV) power plants. We measure strings of cells and full-sized modules to understand how disconnections affect the reflectometry signature. PV modules correspond to reactive loads and disconnections in a PV string and cause distinguishable and measurable changes in SSTDR responses. Disconnection faults are manually introduced and correctly identified and localized applying the proposed technique. The SSTDR technique can detect and locate disconnects through at least eight 36-cell modules. Using the new technique described in this article, we can both detect and locate the disconnections within a 1-ft resolution, on average.},
doi = {10.1109/JPHOTOV.2019.2953392},
journal = {IEEE Journal of Photovoltaics},
number = 1,
volume = 10,
place = {United States},
year = {2019},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on November 29, 2020
Publisher's Version of Record

Save / Share: