Real-time Identification System of Suspicious Data in Substation Interval

Abstract

The invention provides a real-time identification system for suspicious data in substation intervals. The real-time identification system comprises a system memory bank, a system database, a formula calculation service module, a data collection module, an alarm service module and an interval data identification module. A formula inputting tool is used for enabling data sources needing to participate in calculation in every interval of a substation to serve as to parameters to generate a plurality of identification formulas; the formula calculation service module reads a formula list from the system database and reads real-time data from the system memory bank according to the data sources in the formula parameters; the formula calculation service module calls the interval data identification module according to formula names to perform identification and submits calculation results to the system memory bank; and the alarm service module calls the calculation results in the system memory bank in real time and informs a user through an alarm display module. According to the real-time identification system, excavation is performed by utilizing relations among the data, the suspicious data in the substation intervals can be identified timely accurately, and intelligence and maintainability of a system platform are improved.

Description

technical field [0001] The present invention relates to the technical field of electric power automation, in particular to a real-time identification system for suspicious data in a substation interval based on an intelligent substation integrated monitoring system, which is suitable for optimizing the suspicious situation of data collected in a substation outgoing line interval Calculate and evaluate. Background technique [0002] As my country's smart grid enters the stage of full-scale construction, the requirements for the identification of smart substation outgoing line interval collection data are getting higher and higher. Data, the monitoring system must have the function of detecting suspicious data, identifying bad data, and sending alarms to relevant personnel. [0003] The traditional suspicious data identification technology is basically to use the state estimation algorithm at the dispatching master station. The state estimation is oriented to the data of the w...

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Problems solved by technology

[0003] The traditional suspicious data identification technology is basically to use the state estimation algorithm at the dispatching master station. The state estimation is oriented to the data of the whole network. It needs to provide the network topology of the whole network and the impedance parameters of all transformers and lines to participate in the calculation. The maintenance is more complicated. Relative to an interval of data identification accuracy is not enough

Therefore, this method is not suitable for the identification of suspicious data in a small interval

[0004] On the other hand, the data in an interval usually uses the frozen monitoring screen, intercepts the data at the same time point, and then obtains bad data through manual offline calculation. This method is cumbersome, manpower-consuming and prone to misjudgment

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