Model-driven-based intelligent diagnosis method for secondary equipment state for transformer substation

Abstract

The invention discloses a model-driven-based intelligent diagnosis method for a secondary equipment state for a transformer substation. On the basis of a primary equipment topology, calculating an operation state of primary equipment; on the basis of an IEC61850 model configuration file, establishing a secondary equipment topology of a transformer substation and analyzing the operating state of the secondary equipment by combing listing information of the secondary equipment; establish an intelligent diagnosis service logic model library through standardized modeling according to an exit ruleof the soft board of the secondary equipment of the transformer substation and carrying out description by using an XML-based logic description language; and acquiring a service logic model by loadingthe intelligent diagnosis model library, completing mapping between a service logic model and a substation monitoring system database, generating an intelligent diagnostic model instance, and then completing the diagnosis of the secondary equipment state based on relevant real-time data of the substation monitoring system database. Therefore, the standardization of the state diagnosis function ofthe secondary equipment of the transformer substation is promoted.

Description

technical field [0001] The invention relates to a model-driven intelligent diagnosis method for the state of secondary equipment in a substation, and belongs to the technical field of substation automation. Background technique [0002] At present, with the large-scale construction of smart substations, more and more attention has been paid to maintenance and maintenance technology, and the uncertainty of the status of secondary equipment in substations has increased the difficulty of operation and maintenance of secondary equipment in substations and the cost of operation and maintenance, affecting the safety of power systems. run. [0003] A large number of soft pressure plates are used in the protection devices of intelligent stations. In daily work, manual input and withdrawal are still used, which is inefficient and error-prone. Due to the lack of effective monitoring and management methods for the state of secondary equipment, misoperation, miswiring, and missetting o...

AI Technical Summary

Problems solved by technology

[0002] At present, with the large-scale construction of smart substations, more and more attention has been paid to maintenance and maintenance technology, and the uncertainty of the status of secondary equipment in substations has increased the difficulty of operation and maintenance of secondary equipment in substations and the cost of operation and maintenance, affecting the safety of power systems. run

[0003] Intelligent station protection devices use a large number of soft pressure plates. In daily work, manual switching is still used, which is inefficient and error-prone.

Due to the lack of effective monitoring and management methods for the state of secondary equipment, misoperation, miswiring, and missetting of relay protection frequently occur, and after the equipment is in an abnormal state or malfunctions, the fault judgment and treatment mainly rely on personal experience. Long time, low processing efficiency, poor effect, secondary equipment defects cannot be quickly located, and diagnosis is difficult, which seriously threatens the safe operation of smart substations

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