Title :
Detection of increased series losses in PV arrays using Fuzzy Inference Systems
Author :
Spataru, Sergiu ; Sera, Dezso ; Kerekes, Tamas ; Teodorescu, Remus
Author_Institution :
Aalborg Univ., Aalborg, Denmark
Abstract :
There are well-defined methods to measure the (increased) series resistance of PV panels in controlled laboratory conditions. However, the presence of various irradiance levels and partial shadows, in case of an outdoor installation, may affect the series resistance estimation. This paper focuses on the estimation of increased series resistance in outdoor conditions in various irradiance levels and partial shadow conditions. A diagnostic method that is able to detect an increase in series resistance based on fuzzy classifiers is presented and experimentally validated.
Keywords :
computerised instrumentation; electric current measurement; electrical engineering computing; fault diagnosis; fuzzy reasoning; pattern classification; solar cells; PV arrays; PV panels; fault diagnostic method; fuzzy classifiers; fuzzy inference systems; irradiance levels; series losses detection; series resistance estimation; series resistance measurement; Electrical resistance measurement; Estimation; Photovoltaic systems; Resistance; Robustness; Sensitivity; Temperature measurement; classification algorithms; condition monitoring; fault detection; fault diagnosis; fuzzy systems; photovoltaic systems; series losses;
Conference_Titel :
Photovoltaic Specialists Conference (PVSC), 2012 38th IEEE
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4673-0064-3
DOI :
10.1109/PVSC.2012.6317658
