DocumentCode
3407628
Title
Cascaded fuzzy logic based arc fault detection in photovoltaic applications
Author
Grichting, Benjamin ; Goette, Josef ; Jacomet, Marcel
Author_Institution
HuCE-microLab, Bern Univ. of Appl. Sci., Biel-Bienne, Switzerland
fYear
2015
fDate
16-18 June 2015
Firstpage
178
Lastpage
183
Abstract
Arc faults in photo-voltaic (Pv) systems are dangerous events and can create huge damage. In order to decrease the number of these events, arc fault detectors are used. The advantages of the here presented detection algorithm are the relatively low computational demand and the ability to work with most standard analog-digital converter (Adc) contained in micro controllers.
Keywords
analogue-digital conversion; arcs (electric); fault diagnosis; fuzzy logic; microcontrollers; photovoltaic power systems; power engineering computing; ADC; PV system; analog-digital converter; cascaded fuzzy logic based arc fault detection; microcontroller; photovoltaic application; Circuit faults; Current measurement; Databases; Electrodes; Inverters; Noise; Standards; Arc Fault Detection; Database of synthetic arc faults; Fuzzy logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Clean Electrical Power (ICCEP), 2015 International Conference on
Conference_Location
Taormina
Type
conf
DOI
10.1109/ICCEP.2015.7177620
Filename
7177620
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