On-line filtering method for telemetry data of scheduling system

Abstract

The invention discloses an on-line filtering method for telemetry data of a scheduling system. The method includes: on-line filtering of original telemetry data is performed, and telemetry signal variance is estimated; a filtering result is corrected according to equality constraint conditions of an electric power system and the telemetry signal variance; disturbance monitoring is performed, when disturbance is monitored, the filtering of the telemetry data in the disturbance range is paused; and when the disappearance of the interference is monitored, on-line filtering is started again. According to the method, the realization is convenient, the implementation effect is remarkable, and more accurate steady-state data can be provided for advanced application of the scheduling system.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to an online filtering method for telemetry data of a dispatching system. Background technique [0002] Filtering is a fundamental technology widely used in various industries. It is widely used in communication, image processing, navigation head and guidance and other fields. Specifically in the field of power systems, digital relay protection, data acquisition of measurement and control devices, etc., all involve the application of filtering technology. There have been researches and applications in dispatching automation systems that filter historical data and then estimate equipment parameters. But at present, the real-time telemetry data of the dispatching automation system directly accepts the telemetry data uploaded by the RTU or PMU in the substation without filtering. The following problems may be caused: 1) The original data of advanced applications such as stat...

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Problems solved by technology

The following problems may be caused: 1) The original data of advanced applications such as state estimation require steady state, while the telemetry data may be mixed with the data of the transient process, which will interfere with the analysis results of advanced applications; 2) Bad data is difficult to eliminate, only Relying on bad data identification of state estimation or robust state estimation to filter out, if the filtering fails, it may have a great impact on the analysis results; inconsistent upload times, which can generate a large amount of unbalanced power

[0003] Filtering itself is a mature technology that is widely used, but there is currently no method for online filtering by real-time telemetry in dispatching systems, and there is no method for further processing the filtering results according to the characteristics of the power system itself.

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