An online health monitoring system for photovoltaic arrays based on the B/S architecture - Details

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Abstract：

In　order　to　improve　the　working　efficiency　of　the　photovoltaic　(PV)　array　inspection　system,　the　application　of　online　monitoring　systems　for　the　PV　arrays　is　quickly　rising.　In　this　paper,　an　online　PV　array　monitoring　combining　with　B/S　architecture,　Python　language,　and　Flask　framework　is　developed　to　monitor　and　diagnose　the　status　of　PV　arrays　which　can　display　the　data　of　the　PV　array　and　facilitate　the　staff　to　monitor　the　working　status　of　PV　array.　When　a　fault　occurs,　the　staff　can　also　register　the　fault　information　on　the　website　quickly.　The　developed　system　is　composed　of　three　parts:　data　acquisition,　data　transmission　and　PV　online　monitoring　website.　Firstly,　the　system　uses　the　Raspberry　Pi3　to　collect　the　data　when　the　PV　array　operates　in　maximum　power　point　(MPP),　and　the　acquired　data　is　stored　locally　in　the　Raspberry　Pi.　And　then,　the　data　is　uploaded　to　the　PC　side　via　the　FileZilla　server　software　and　further　transmitted　to　online　monitoring　website.　Finally,　the　PV　array　online　monitoring　website　displays　received　data,　and　perform　the　fault　diagnosis　of　PV　array　using　a　kernel　based　Extreme　Learning　Machine　(KELM).　Experimental　results　show　that　the　total　classification　accuracy　for　ten　different　operating　conditions　can　reach　97.2%.　©　Published　under　licence　by　IOP　Publishing　Ltd.

Keyword：

Data acquisition Display devices Learning systems Monitoring Online systems Partial discharges Photovoltaic cells Websites

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[ 1 ] [Tian, Y.]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350116, China
[ 2 ] [Chen, Z.C.]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350116, China
[ 3 ] [Zhou, H.F.]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350116, China
[ 4 ] [Wu, L.J.]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350116, China
[ 5 ] [Long, C.]Institute of Energy, School of Engineering, Cardiff University, Cardiff; CF24 3AA, United Kingdom
[ 6 ] [Lin, P.J.]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350116, China
[ 7 ] [Cheng, S.Y.]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350116, China