Distributed photovoltaic power generation abnormity monitoring method based on homologous information correlation comparison

The invention discloses a distributed photovoltaic power generation abnormity monitoring method based on homologous information correlation comparison. The method comprises the following steps: collecting an output current of a micro photovoltaic power generation panel homologous with distributed ph...

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Bibliographische Detailangaben
Hauptverfasser:	XUE RUISHENG, HE JINZHAO, LIU XIN, SUN MINGPENG, SUN JINMING, NIU SHUYA, WANG RUI, ZHANG XIAOWEN, HU YIFEI, ZHANG HANG, SUN YA, CHEN XI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRA-REDRADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, E.G. USINGPHOTOVOLTAIC [PV] MODULES MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY TESTING
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Beschreibung
Zusammenfassung:	The invention discloses a distributed photovoltaic power generation abnormity monitoring method based on homologous information correlation comparison. The method comprises the following steps: collecting an output current of a micro photovoltaic power generation panel homologous with distributed photovoltaic power generation equipment as a sampling current value and an actual output current value of the distributed photovoltaic power generation equipment; and comparing the sampling current value with an actual output current value of the distributed photovoltaic power generation equipment, and if a comparison result reaches a set threshold value, sending out early warning information. According to the monitoring method provided by the invention, a homologous information correlation comparison principle is adopted, the influence of environmental factors on the photovoltaic power generation amount is comprehensively considered, the theoretical power generation amount value is tracked in real time, the monitori