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Clustering analysis method for state monitoring data of transformer

A technology of monitoring data and cluster analysis, applied in the fields of instruments, measuring electricity, measuring devices, etc., can solve the problems of monitoring data errors, false alarms, lack of data analysis and processing methods, etc., to improve the level of safety and stability, and improve the probability of Effect

Active Publication Date: 2018-02-09
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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Problems solved by technology

However, there are limitations in the utilization and analysis of monitoring data
On the one hand, the current analysis methods for monitoring data are mainly static analysis threshold alarms, but the setting of alarm thresholds and alarm levels lacks sufficient basis, and is only suitable for discovering explicit defects
On the other hand, after collecting a large amount of data, the monitoring master station system platform lacks the means to analyze and process the data; therefore, it still needs to rely on manual experience to analyze data and predict faults, and it has not been able to realize effective and timely automatic error correction of data
In addition, due to on-site influence factors such as the aging of electronic components of the monitoring device, external environmental interference, and underpressure of the carrier gas, errors in the monitoring data and even false alarms are caused.

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  • Clustering analysis method for state monitoring data of transformer

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Embodiment Construction

[0038] In order to better understand the present invention, the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0039] like figure 1 As shown, a cluster analysis method for transformer condition monitoring data includes the following steps:

[0040] S1: Data extraction: The terminal monitoring device extracts the phased monitoring data of dissolved gas in transformer oil, and the phased cycle is one to three months; the massive quasi-real-time data service platform extracts the operation time and manufacturing of corresponding transformers quotient, voltage level and the load within the corresponding time period.

[0041] S2: Data cleaning: normalize the monitoring data, that is, map the data to the [0,1] interval, the calculation formula is as follows:

[0042] ;

[0043] In the above formula, x ij is the monitoring data of a type of gas of the i-th transformer on day j, max j ( x ij ) for th...

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Abstract

The invention relates to the technical field of power equipment state monitoring and fault diagnosis, and specifically relates to a clustering analysis method for the state monitoring data of a transformer. The invention takes the lead in proposing an analysis method for gas dissolved in oil which gives consideration to the state of the transformer under the same operation conditions (the same service age section, the same voltage level and the same load rate), overcomes a key difficulty in inspecting a latent fault of equipment, and improves the safe and stable level of a power grid. An inspection system which covers the data extraction of the dissolved gas in oil, the cleaning fusion and clustering analysis is successfully developed, effectively avoids a passive situation of the frequentfault alarm and alarm leakage of the state monitoring of the transformer, and achieves the integrated optimization of the risk, efficiency and cost with one action.

Description

technical field [0001] The invention relates to the technical field of state monitoring and fault diagnosis of electric equipment, in particular to a cluster analysis method for transformer state monitoring data. Background technique [0002] Dissolved gas monitoring technology in transformer oil has been widely used in the power industry, and has achieved centralized monitoring on the provincial monitoring master station system platform. However, there are limitations in the utilization and analysis of monitoring data. On the one hand, the current analysis methods for monitoring data are mainly static analysis threshold alarms, but the setting of alarm thresholds and alarm levels lacks sufficient basis and is only suitable for discovering explicit defects. On the other hand, after collecting a large amount of data, the monitoring master station system platform lacks the means to analyze and process the data; therefore, it still needs to rely on manual experience to analyze...

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Application Information

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IPC IPC(8): G01R31/00G06K9/62
CPCG01R31/00G06F18/23213
Inventor 张炜张玉波黎新邬蓉蓉
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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