Arc-Fault Detector Algorith Evalution Mehod Utilizing Prerecorded Arcing Signatures 2018-07-30T21:56:01+00:00

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Filename 38thPVSC_Prerecorded_Signatures_SAND2012-4442C1.pdf
filesize 737.84 kB
Version 1
Date added October 31, 2014
Downloaded 168 times
Category Combustion, Energy Security, Manual, Photovoltaic, Renewable Energy, Solar Energy
Tags sand2012-4442c
location Sensata Technologies, Attleboro, MA, USA
event 38th PVSC
report-id SAND2012-4442C
author Jay Johnson, Jack Kang

The 2011 National Electrical Code Article 690.11 requires photovoltaic systems on or penetrating a building to include a DC arc-fault protection device. In order to satisfy this requirement, new Arc-Fault Detectors (AFDs) are being developed by multiple manufacturers including Sensata Technologies. Arc-fault detection algorithms often utilize the AC noise on the PV string to determined when arching conditions exist in the DC system. In order to acceleerate the development and testing of Sensata Technologies’ arc-fault detection algorithm, Sandia National Laboratories (SNL) provided a number of data sets. These prerecorded 10 MHz baseline and arc fault data sets included different inverter and arc fault noise signatures. Sensata Technologies created a data evaluation method focused on regeneration of the prerecorded arcing and baseline test data with an arbitrary function generator; thereby reducing AFD development time.