Research on Multi-Stage Early Warning Method of Over-Current and Under-Voltage Fault of Clock Battery of Electric Energy Meter
As a complex fault mode,the battery over-current voltage fault of watt-hour meter is often caused by many factors.Therefore,in the early warning of the fault,the early warning accuracy is usually poor due to the lack of effective fusion of multi-dimensional information of the battery.In this paper,a multi-level early warning method for over-current and under-voltage fault of clock battery of electric energy meter is proposed.Firstly,the dynamic behavior of the battery is simulated by combining Thevenin model,so as to construct an equivalent circuit model and identify its parameters.Then,combined with Kalman filter algorithm,the multi-dimensional information of the clock battery is fused and the future voltage and current prediction results of the battery are output.Finally,the battery current value and voltage value are used as the input variables of the fuzzy logic controller,and the output variables are set as the early warning level.By constructing the fuzzy rules between the fuzzy set and the risk level,the hierarchical early warning is realized.In the experiment,the early warning accuracy of the proposed method is tested.The final test results show that the battery voltage predicted by the algorithm is close to the simulated value when the proposed method is used for early warning of battery overcurrent and undervoltage faults,and it has ideal early warning accuracy.
electric energy meterclock batteryovercurrent and undervoltagefault early warningkalman filter
万方数据
维普
