Power device dynamic threshold setting method based on historical data clustering

Abstract

The invention relates to a power device dynamic threshold setting method based on historical data clustering. According to the power device dynamic threshold setting method based on historical data clustering, when substation device online monitoring data are processed and applied, collected historical data are used as the basis, according to the range of a value distribution space, different state spaces for operation of power devices are obtained through primary division, and determination of the original boundary of each state space and selection of each threshold value are conducted based on the standard defined by the power device relevant operation specifications and the distribution range of the historical data; primary clustering is conducted on the monitoring data according to the range of appearing areas of the data, and clustering distinguishing matching is conducted on the monitoring data and the ranges of the state spaces according to the degree of closeness with the state spaces determined through the historical data as the basis, so that value ranges of the monitoring data of the different operation states of the power devices are formed; during continuous supplementing of the monitoring data of device operation and distinguishing matching, the boundaries are gradually corrected according to the distribution range of the appearing probabilities of the data, so that dynamic power device operation state threshold setting is completed, and a judgment criterion of the device operation state is formed.

Description

technical field [0001] The invention relates to a method for setting dynamic thresholds of power equipment based on historical data clustering, and belongs to the technical field of power system equipment monitoring. Background technique [0002] With the integration and development of smart grid and Internet of Things technology at all levels, Internet of Things technology has gained more and more applications in the online monitoring of substations. The online monitoring of power equipment based on the Internet of Things technology generates massive heterogeneous data. Based on the analysis and processing of such data, the operating status of the equipment is judged to form the entire process of operation management of the equipment. Different operations of the equipment are required. The state is divided into regions. The threshold setting of the existing power equipment operating status division is mostly directly set according to the initial information of the power eq...

AI Technical Summary

Problems solved by technology

The threshold setting of the existing power equipment operating status division is mostly set directly according to the initial information of the power equipment (such as general value, regulation value, experience value, pre-test value). Once set, it cannot be changed and cannot accurately reflect the dynamic state. The actual operating status of the equipment, the threshold setting and the actual operating changes cannot be effectively synchronized

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