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Transformer equipment early warning and state prediction evaluation method and system

A technology of equipment status and transformers, applied in transformer testing, forecasting, instruments, etc., can solve problems such as the inability to fully grasp and accurately judge the status of transformer equipment, and achieve the effect of improving the efficiency of inspections and accurate prediction results

Active Publication Date: 2020-05-29
NANJING GUODIAN NANZI POWER GRID AUTOMATION CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the above technical problems, the present invention provides a transformer equipment early warning and state prediction evaluation method and its system, which solves the problem that it is impossible to fully grasp and accurately judge the state of transformer equipment

Method used

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  • Transformer equipment early warning and state prediction evaluation method and system
  • Transformer equipment early warning and state prediction evaluation method and system
  • Transformer equipment early warning and state prediction evaluation method and system

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Experimental program
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Effect test

Embodiment 1

[0051] like figure 1 As shown, this embodiment provides a transformer equipment early warning and state prediction evaluation method, including the following steps:

[0052] Step 1, collect multi-dimensional perception data of transformers, and predict electrical and oil and gas volume warning types on the edge server of the substation based on multi-dimensional sensing data;

[0053] Transformer multi-dimensional sensing data includes transformer oil and gas volume, electrical volume, transformer internal temperature, and ambient temperature: multi-dimensional acquisition and perception of transformer status through IoT sensors, acquisition of electrical quantities such as phase current, voltage, and power factor on three sides of the transformer, and collection of transformer oil The online monitoring of oil and gas volume data of dissolved gas in medium, as well as the internal temperature of the transformer and the ambient temperature.

[0054] Forecast electric quantity ...

Embodiment 2

[0084] A transformer equipment state early warning and state prediction evaluation system, including:

[0085] Electric volume and oil and gas volume early warning type prediction module, used to collect multi-dimensional sensing data of transformers, and predict electrical volume and oil and gas volume early warning types according to multi-dimensional sensing data;

[0086] The current early warning evaluation index coefficient calculation module is used to calculate the current early warning evaluation index coefficient according to the early warning type sequence composed of the predicted electric volume and oil and gas volume early warning types;

[0087] The transformer state prediction and evaluation module is used to predict and evaluate the transformer state according to the current early warning evaluation index coefficient.

[0088] Further, predict and evaluate the state of the transformer according to the current early warning evaluation index coefficient, includi...

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Abstract

The invention discloses a transformer equipment early warning and state prediction evaluation method and system. Key state quantities such as the three-phase three-side current, the voltage, the oil gas quantity, the temperature and a meteorological environment of the transformer are sensed in a multi-dimensional manner; edge computing is fully utilized, a support vector machine algorithm is applied to carry out comprehensive perception and abnormal early warning classification on the transformer state, a transformer thermal circuit model coefficient is adaptively corrected according to an abnormal early warning type, dynamic prediction and life safety assessment of the transformer overload capacity are realized, and meanwhile, an external system interface is provided to facilitate information uploading to a cloud service center. The method has transformer equipment state autonomous perception analysis capability, and provides effective technical support for active early warning of abnormal operation and improvement of transformer operation and inspection efficiency.

Description

technical field [0001] The invention relates to a transformer equipment early warning and state prediction evaluation method and system thereof, which belong to the technical field of Internet of Things for power transmission and transformation equipment. Background technique [0002] The State Grid Ubiquitous Internet of Things has accelerated the implementation of the strategy of "three types, two networks, and world-class". Due to the continuous expansion of the power grid scale, the continuous changes in the management requirements for inspection and inspection, and the continuous increase in the total amount of inspection work, the conventional substation on-line monitoring system solution is mainly aimed at the health status of the transformer body, using existing independent special devices from different angles Monitors a class of health traits. From the perspective of monitoring and information integration, the application level of transformer monitoring informatio...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q10/04G06Q10/06G06Q50/06G01R31/52G01R31/62
CPCG06Q10/04G06Q10/06393G06Q50/06G06F18/2411Y04S10/50
Inventor 纪陵王永杨小凡檀庭方
Owner NANJING GUODIAN NANZI POWER GRID AUTOMATION CO LTD
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