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Title: Detection of arcing location on photovoltaic systems using filters

Abstract

The present invention relates to photovoltaic systems capable of identifying the location of an arc-fault. In particular, such systems include a unique filter connected to each photovoltaic (PV) string, thereby providing a unique filtered noise profile associated with a particular PV string. Also described herein are methods for identifying and isolating such arc-faults.

Inventors:
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1422763
Patent Number(s):
9897642
Application Number:
14/643,032
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
Patent Classifications (CPCs):
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E - REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
H - ELECTRICITY H02 - GENERATION H02S - GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRA-RED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 2015 Mar 10
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Johnson, Jay. Detection of arcing location on photovoltaic systems using filters. United States: N. p., 2018. Web.
Johnson, Jay. Detection of arcing location on photovoltaic systems using filters. United States.
Johnson, Jay. Tue . "Detection of arcing location on photovoltaic systems using filters". United States. https://www.osti.gov/servlets/purl/1422763.
@article{osti_1422763,
title = {Detection of arcing location on photovoltaic systems using filters},
author = {Johnson, Jay},
abstractNote = {The present invention relates to photovoltaic systems capable of identifying the location of an arc-fault. In particular, such systems include a unique filter connected to each photovoltaic (PV) string, thereby providing a unique filtered noise profile associated with a particular PV string. Also described herein are methods for identifying and isolating such arc-faults.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {2}
}

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Works referenced in this record:

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report, July 2013


Recognition of electric arcing in the DC-wiring of photovoltaic systems
conference, October 2009


Preliminary photovoltaic arc-fault prognostic tests using sacrificial fiber optic cabling.
report, February 2013


Accelerated life testing of PV arc-fault detectors
conference, June 2013


Photovoltaic DC Arc Fault Detector testing at Sandia National Laboratories
conference, June 2011


Photovoltaic ground fault and blind spot electrical simulations.
report, June 2013


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conference, June 2011


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conference, June 2012


PV faults: Overview, modeling, prevention and detection techniques
conference, June 2013


Electrical simulations of series and parallel PV arc-faults
conference, June 2013


Crosstalk nuisance trip testing of photovoltaic DC arc-fault detectors
conference, June 2012


Arc-fault detector algorithm evaluation method utilizing prerecorded arcing signatures
conference, June 2012


Electrical and thermal finite element modeling of arc faults in photovoltaic bypass diodes.
report, January 2012


Photovoltaic prognostics and heath management using learning algorithms
conference, June 2012


Characterizing fire danger from low-power photovoltaic arc-faults
conference, June 2014