DocumentCode :
2017886
Title :
Using automated evaluation of efficiency for photovoltaic power plant
Author :
Tutsch, Michal ; Vojcinak, Petr ; Koziorek, Jiri ; Skrepek, Michal
Author_Institution :
Dept. of Meas. & Control, VSB - Tech. Univ. of Ostrava, Ostrava, Czech Republic
fYear :
2011
fDate :
5-9 Sept. 2011
Firstpage :
1
Lastpage :
4
Abstract :
The paper deals with the methodology for assessing the production of solar photovoltaic power plant. Operational quality of a solar power is given to early detection of possible failures of individual components. This can be achieved only by constantly monitoring the status of the plant and their proper evaluation. It is described design of whole data acquisition system based on data mining and automatic detection of failures and follow-up evaluation of data. According to a number of newly installed plants, such as in the Czech Republic, it is a very topical issue. The proposed procedures are validated in operation and maintenance of solar power with the performance 350 kWp built in campus of VSB Technical University of Ostrava (also VSB-TUO).
Keywords :
SCADA systems; data mining; photovoltaic power systems; solar power stations; Czech Republic; VSB Technical University of Ostrava; data acquisition system; data mining; efficiency evaluation automation; failure automatic detection; solar photovoltaic power plant production; solar power operational quality; Inverters; Monitoring; Photovoltaic systems; Production; Temperature measurement; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference on
Conference_Location :
Toulouse
ISSN :
1946-0740
Print_ISBN :
978-1-4577-0017-0
Electronic_ISBN :
1946-0740
Type :
conf
DOI :
10.1109/ETFA.2011.6059189
Filename :
6059189
Link To Document :
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