The fuzzy inference engine evaluates these fuzzy information and determines whether there is a potential fault based on the rules in the fuzzy rule library.This scheme provides an estimate of the instantaneous power generation of the photovoltaic field during normal operation.Then,the estimated power is compared with the actual power.If the difference between the powers exceeds the threshold,an alarm signal is generated.TSK-FRBS has trained the data collected by the photovoltaic power plant simulator during normal operation and tested it in the simulation framework by reproducing normal and fault conditions.The results show that even with the introduction of noisy data,the system can still recognize more than 90%of fault situations.
fuzzy rule systemphotovoltaic power plantsfault detectionfault identification rate
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