Intelligent substation equipment sampling check method and system based on continuity variance

Abstract

The invention discloses an intelligent substation equipment sampling check method and system based on continuity variance. The method comprises the following steps: loading corresponding sampling check indexes according to equipment types; carrying out synchronous data acquisition and real-time storage on intelligent substation front SV sampling information and secondary equipment MMS message output sampling information; storing an instantaneous value of SV sampling data as an effective value through calculation; obtaining central values and deviation indexes of the sampling data of the SV side and the MMS side of the equipment through a continuity variance calculation method; carrying out real-time comparison and analysis on a difference value B of the deviation indexes of the SV side andthe MMS side of the secondary equipment and a sampling check index; and generating a check report and outputting the check report. The method and system realize on-line verification of equipment sampling, reduce additional power failure time and manual check workload due to equipment sampling check and greatly improves comprehensiveness and accuracy of sampling check of related equipment in maintenance work.

Description

technical field [0001] The invention relates to a method for sampling verification of intelligent substation equipment, which is used for detecting the correctness of equipment sampling during the normal operation of the intelligent substation and the equipment maintenance process. Background technique [0002] Traditional equipment sampling detection techniques in substations are gradually being applied to smart substations. In the process of technology transplantation to smart substations, traditional equipment detection technologies still mainly rely on manual verification to determine the correctness of equipment sampling accuracy. [0003] At present, the sampling values ​​of relay protection, measurement and control devices and other equipment in the daily operation of smart substations have been connected to the monitoring system for real-time display. Sampling data for manual verification. [0004] In recent years, automatic calibration technology for equipment stat...

AI Technical Summary

Problems solved by technology

[0005] One is that the simulation sampling data of the equipment is highly correlated with the current operating status of the equipment, and there is no fixed judgment standard. The verification accuracy of equipment sampling is different under different power grid operating load conditions, so the sampling accuracy is based on the sampling data of one side of the equipment. The calibration is unable to perform accuracy calibration

[0006] The second is that the data collection process on one side of the device is relatively simple, but the data collection on both sides of the device has the problem of clock synchronization and inconsistent data structure. To do data comparison and analysis between two different data types requires the introduction of additional data statistics methods

[0007] At this stage, the sampling and verification of smart substation equipment is still carried out by manual verification. This verification method is not only cumbersome and has a huge workload, but also its accuracy cannot be guaranteed.

Images