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
Link To Document :
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