Method for constructing protection big data fault characteristics system based on wave recording and scanning technology

Abstract

The invention discloses a method for constructing a protection big data fault characteristics system based on wave recording and scanning technology. The method comprises the following steps: through the decoding of a wave recording file, accessing the waveform data of all sampling points; calculating the valid values and determining whether adjacent waves experience mutations or not; for the unit experiencing mutations in their valid values, using the slope mutations of the sampled values prior to or after the unit to determine the accurate mutation point and to determine the fault time; extracting the local characteristics quantity of the voltage and current waveform in the wave recording data; representing in multiple dimensions the characteristics information extracted from the data window given on the waveform; and using the fault time as the critical point to form local characteristics quantities at different times in the scanned waveform data prior to and after the fault and to construct a complete fault characteristics system. According to the invention, in multiple perspectives and dimensions, fault characteristics data are excavated and extracted, and based on the requirement of a protection big data analyzing platform and a big data theory, a fault characteristics system structure is formed, which can ensure the realization of higher-level of application functions of the protection big data in a power grid system.

Description

technical field [0001] The invention relates to a method for constructing a protection big data fault feature system based on wave recording and scanning technology. Background technique [0002] The use of big data theories and methods to study and analyze power system protection data is of great significance for improving the analysis of complex faults in power systems, optimizing control strategies, providing operation and maintenance levels, and improving risk identification levels. Big data is a new concept that has received widespread attention in recent years. Through the high-speed capture, discovery and analysis of a large number of protection data with many types and complex sources, and extracting its value in an economical way, a new technical system or Technical architecture is a new concept and new technology for data protection analysis. The protection of big data analysis is based on various feature information in the original data, and different application...

AI Technical Summary

Problems solved by technology

Power system transient recording data is a typical non-stationary signal, and its signal characteristics are constantly changing during the development process after a fault. However, the current protection analysis generally realizes the analysis function by extracting local fault characteristic information at a specific moment. The feature quantity used cannot reflect the changing characteristics of the entire fault process, and it is difficult to meet the needs of protection big data analysis

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