Currently,the fault early warning of photovoltaic microgrid equipment often adopts similarity model-ing methods.However,this approach lacks real-time processing of equipment operational data,resulting in lower fault early warning accuracy.Therefore,this paper proposes research on fault early warning of photovol-taic microgrid equipment based on multi-sensor information fusion.Firstly,collect the equipment state parame-ters and utilize multi-variable nonlinear functions to perform real-time data processing and fault engine analy-sis on the historical and collected real-time operational data of the equipment,thus establishing an equip-ment state model.Secondly,combined with multi-sensor information fusion technology,the equipment state da-ta is fused and transformed into posterior probability output,so as to obtain the fault early warning index.Fi-nally,the equipment fault early warning model is constructed,and the threshold of fault early warning inter-val is calculated,so as to realize the equipment fault early warning.The results show that the fitting good-ness between the early warning value and the real value obtained by the proposed method is high,providing a high early warning accuracy.
关键词
多传感器信息融合/光伏微电网设备/故障预警/预警精度
Key words
Multisensor information fusion/photovoltaic microgrid equipment/fault early warning/early warn-ing accuracy
维普
万方数据