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Learning-result-correction-based balance abnormality diagnosis method of electrical energy measurement cycle of transformer substation

A technology for abnormal diagnosis and electric energy measurement, applied in machine learning, calculation, calculation model, etc., can solve problems such as complex structure, low operation and maintenance efficiency, and poor timeliness of fault repair, so as to improve operation and maintenance management efficiency and improve diagnosis accuracy , reduce the effect of repeated search work

Inactive Publication Date: 2018-04-20
JIANGSU ELECTRIC POWER CO +2
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Problems solved by technology

[0002] Substation balance monitoring is a comprehensive application of the data collected by the substation, which has a complex structure, many reasons for imbalance, and low operation and maintenance efficiency
At present, the main method of manual investigation is to locate the problem, and the timeliness of fault repair is poor.

Method used

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  • Learning-result-correction-based balance abnormality diagnosis method of electrical energy measurement cycle of transformer substation

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Embodiment Construction

[0016] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0017] The method for diagnosing the cycle balance abnormality of substation electric energy metering based on the learning result correction of the present invention comprises the following steps:

[0018] Step S1, establishing a diagnostic rule base for substation electrical energy metering cycle balance abnormality based on historical abnormal data records.

[0019] Normal power balance means that the actual loss of the power grid is normal, the power grid model based on the balance calculation is consistent with the actual operating wiring, the measurement results of the electric energy meter are normal, the collection is normal, and the power calculation or balance calculation results are a...

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Abstract

The invention discloses a learning-result-correction-based balance abnormality diagnosis method of an electrical energy measurement cycle of a transformer substation. The method comprises: S1, establishing an electrical energy measurement cycle balance abnormality diagnosis rule base of a transformer substation; S2, carrying out tracing analysis on an electrical energy measurement result data to determining abnormity; S3, carrying out a primary cause analysis on the abnormity based on the abnormality diagnosis rule base; and S4, carrying out analysis correction on the primary cause based on deep learning. According to the invention, on the basis of correction of supervised learning and supervision-free learning, the primary cause of abnormity is diagnosed.

Description

technical field [0001] The invention relates to the technical field of electric power dispatching control application, in particular to a method for diagnosing abnormality of substation power metering cycle balance based on learning result correction. Background technique [0002] Substation balance monitoring is a comprehensive application of the data collected by the substation, which has a complex structure, many reasons for imbalance, and low operation and maintenance efficiency. At present, the main method of manual troubleshooting is to locate problems, and the timeliness of fault repair is poor. Solidify the search process of unbalanced causes, automatically diagnose all links involved in the balance judgment, and intelligently determine the location of the unbalance, which can greatly improve the efficiency of substation balance monitoring operation and maintenance, and reduce the loss of electricity leakage caused by metering failures. Contents of the invention ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N5/02G06N99/00
CPCG06N5/025G06Q10/0639G06Q50/06G06N20/00Y04S10/50Y02P90/82
Inventor 仲春林吕辉谢林枫熊政邵俊季聪李新家郑飞方超李昆明徐明珠范洁徐僖达
Owner JIANGSU ELECTRIC POWER CO
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