Grid Equipment Status Evaluation Method Based on Time Series Information Fragment Cloud Similarity Measurement

Abstract

The invention discloses a grid equipment state evaluation method based on cloud similarity measurement of time series information fragments. The on-line monitoring time-series data that the status assessment of power grid equipment relies on has a large amount of monitoring data, lack of information sharing between monitoring parameters, and the monitoring data obtained in harsh environments has problems such as noise and deviation. The evaluation method proposed by the invention uses expectation, entropy and hyper-entropy to describe the online monitoring data, adopts the weighted cloud similarity measurement and probability output method, and performs fusion analysis on the parameters used to describe the state of the power grid equipment, and solves the problem of online monitoring of the power grid. Monitoring time series data itself has defects such as excessive data volume, information islands, and data deviations, as well as problems that the existing grid equipment status assessment methods cannot timely and accurately judge the equipment status, which can be used for real-time status assessment of grid equipment in a targeted manner , so as to further ensure the safe and normal operation of the power system.

Description

technical field [0001] The invention belongs to the technical field of power grid equipment state evaluation, and in particular relates to a power grid equipment state evaluation method based on time series information segment cloud similarity measurement. Background technique [0002] With the vigorous development of artificial intelligence, the combination of intelligent technology and power system has become a trend. Applying intelligent algorithms to the status evaluation of grid equipment can deeply mine the operation data of grid equipment, know the historical and current operating status of grid equipment, and guide the formulation of maintenance strategies for grid equipment, so as to avoid the occurrence of grid equipment failure and extend the power grid The operating life of the equipment is to ensure the safe and stable operation of the power grid. [0003] At present, in the field of power system technology, the state assessment of power grid equipment is mainl...

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Problems solved by technology

[0006] The present invention provides a grid equipment state assessment method based on time series information fragment cloud similarity measurement, which is used to solve the defects of the online monitoring time series data itself, such as excessive data volume, information island, data deviation, etc., and the existing power grid equipment state assessment method cannot Timely and accurate evaluation of equipment status

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