A method and system for evaluating the health state of a photovoltaic power station

Abstract

The present application relates to the field of new energy power generation technology, in particular to a photovoltaic power station health state evaluation method and system; the present application collects multi-dimensional data through a distributed sensor network, obtains a standardized time sequence after processing the multi-dimensional data, and establishes a photovoltaic physical model accordingly, draws an efficiency attenuation curve, and evaluates the health state of the power station; the evaluation results are traced back to the causes, different data characteristics such as the backboard temperature of the component are set as judgment conditions, abnormalities are accurately determined and traceability signals are output, and the causes of the faults are located; according to the evaluation and traceability signal decision, the operation signal is matched, different operations are taken for normal, early warning and abnormal conditions, and the health of the power station is maintained in time and effectively.

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