Secondary equipment state evaluation method based on interval gray number dynamic gray target

Abstract

The invention provides a secondary equipment state evaluation method based on an interval grey number dynamic grey target. The method comprises the following steps: S1, obtaining an optimal weight of a secondary equipment state index; S2, performing state evaluation based on multi-dimensional time stage information aggregation; S3, performing state evaluation based on an index change trend; S4, combining the evaluation results of the steps S2 and S3 to obtain a comprehensive target center degree as an evaluation result. According to the method, the inter-stage dynamic change of secondary equipment operation data and index information of a multi-dimensional time stage is fused, and the comprehensive target degree reflecting the state of the secondary equipment is obtained by utilizing a dynamic grey target theory. By integrating the historical information and the current state of the secondary equipment, a state evaluation model of the secondary equipment of the intelligent substation is constructed.

Description

technical field [0001] The invention relates to the technical field of power grid operation and maintenance, in particular to a secondary equipment state evaluation method based on an interval gray number dynamic gray target. Background technique [0002] As an important part of the smart grid construction, the smart substation's stable operation of its secondary equipment is crucial to the safety and stability of the primary system. Smart substations based on new intelligent electronic devices and networked secondary systems have larger components and system structures than traditional substations. The traditional regular maintenance methods can no longer meet the requirements of safe, stable and economical operation of smart substations. In order to improve the reliability and economy of intelligent secondary equipment management and operation, and reduce the life cycle cost of substations, it is urgent to carry out comprehensive and scientific research on the status evalu...

AI Technical Summary

Problems solved by technology

[0004] (1) The precondition of the current secondary equipment status assessment is the historical statistical data of the smart substation, which does not consider the real-time monitoring information of the secondary equipment, so the assessment status based on the historical monitoring data lacks real-time effectiveness

[0005] (2) The current research does not consider the impact of the dynamic change trend of secondary equipment evaluation indicators in the multi-dimensional stage, and has not thoroughly excavated the dynamic change characteristics and development trends of secondary equipment contained in the multi-dimensional time state information, which will inevitably affect the final state. The evaluation results have caused certain deviations

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