Research on Intelligent Early Warning Technology and Algorithm of Sampling Circuit of Substation Relay Protection Device Based on Fault Recording Data
With the continuous development of power systems and the expansion of substation sizes,the stability of sampling cir-cuits of relay protection devices has become increasingly important for system operation.However,due to the risk of fault hazards and performance degradation of sampling circuits,timely monitoring and early warning have become critical.This paper proposes a sam-pling circuit intelligent warning technology for substation relay protection device based on recorded wave data:first,through the muta-tion point search,find the effective sampling circuit homologous data from a large number of recorded wave data,and obtain the muta-tion window of the data;then,for the existence of homologous data,using the combination of re-sampling and filtering of the tempo-rary steady state characteristics of the comparison method,and for the transient abnormality of the single-pass data,the first-order derivative method,to realize the sampling circuit status of the single-pass data.The first-order derivative is used to realize the defect extraction of the sampled data;finally,the feature extraction is used to complete the early warning for the sampled circuit.The verifi-cation of actual grid data shows that the method proposed in this paper fits the engineering reality,realizes the real-time monitoring of sampling circuits in substations,and ensures the safe and stable operation of the power grid.
万方数据
维普
