Title:	Detection and prediction of photovoltaic panels malfunctions
Authors:	Bělík, Milan
Citation:	BĚLÍK, M. Detection and prediction of photovoltaic panels malfunctions. In: Renewable Energy and Power Quality Journal (RE&PQJ); (Vol. 1, no. 16). Vigo: European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ), 2018. s. 544-548. ISSN 2172-038X.
Issue Date:	2018
Publisher:	European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ)
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/33836
ISSN:	2172-038X
Keywords in different language:	photovoltaic panels malfunctions;detection methods;malfunction time progress;VA characteristic of PV panel;real time measurement
Abstract in different language:	This article discusses issues of photovoltaic panels malfunctions and failures. Different detection methods are applied on 300 real installations to identify origin, quantity and time progress of most common malfunctions. This paper focuses only on operation failures while malfunctions generated during production and transport are not in account. Failures influence on VA characteristic is deeply discussed. Possible usage of automated real time VA characteristic measurements for reverse failure detection and identification is evaluated. The main contribution of this research is the application and verification of this method is on 8 channel pilot system.
Rights:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ)
Appears in Collections:	Konferenční příspěvky / Conference papers (KEE) OBD

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