DocumentCode :
1776763
Title :
A wireless sensor network for the monitoring of large PV plants
Author :
Guerriero, P. ; Vallone, G. ; Primato, M. ; Di Napoli, F. ; Di Nardo, L. ; d´Alessandro, Vincenzo ; Daliento, S.
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol. (DIETI), Univ. of Naples Federico II, Naples, Italy
fYear :
2014
fDate :
18-20 June 2014
Firstpage :
960
Lastpage :
965
Abstract :
In this paper a new monitoring system, suitable for large photovoltaic fields, is presented. Differently from others available monitoring systems the new approach is based on a sensor network which collects detailed information about the electrical performances of each string forming a photovoltaic plant. A devised electronic board has been specifically developed and prototyped which embeds innovative functionalities. Among them the supercapacitor based harvesting stage for self powering of the sensor network and the wireless communication which prevent additional wiring. Moreover a new performances analysis logic has been developed and implemented in a control software tool which analyzes collected data and generate graphical reports for an immediate localization of faults and yield losses.
Keywords :
computerised monitoring; fault location; photovoltaic power systems; wireless sensor networks; collected data; control software tool; devised electronic board; electrical performances; fault localization; graphical reports; large PV plant monitoring system; large photovoltaic fields; performance analysis logic; sensor network self powering; supercapacitor based harvesting stage; wireless communication; wireless sensor network; yield loss localization; Current measurement; Energy loss; Inverters; Monitoring; Shadow mapping; Short-circuit currents; Voltage measurement; PV string; monitoring; shadowing; yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium on
Conference_Location :
Ischia
Type :
conf
DOI :
10.1109/SPEEDAM.2014.6872084
Filename :
6872084
Link To Document :
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