Research On Fault Diagnosis Of Photovoltaic Power Generation System Based On Cloud Computing Data

In order to improve the efficiency of photovoltaic power station, reduce maintenance costs, the region realize photovoltaic power plant management and scheduling, the proposed cloud computing data technology fault diagnosis technology based on the photovoltaic power generation system. Analyzing the fault characteristics of photovoltaic generation system, building the system framework and model of fault diagnosis system of PV power generation system based on MapReduce data processing mechanism. In order to study the fault point location method, the PV array is equivalent to the transmission line with impedance discontinuity point, and the fault location strategy is studied by the time domain reflectometry method. Finally, based on the condition maintenance, the paper proposes the auxiliary decision system of PV power generation system based on cloud computing data, and describes its structure and analysis strategy.