Power transformer state evaluation method based on multi-source data fusion

A technology for power transformers and status assessment, applied in data processing applications, instruments, resources, etc., can solve the difficulty of data-driven equipment health management, the difficulty of the number of fault samples to meet the modeling needs, and the difficulty of equipment status assessment and data mining. problems, to achieve the effect of objective evaluation, strong operability, and strong operability

Active Publication Date: 2020-01-14
STATE GRID CORP OF CHINA +2
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] At present, the status assessment and health management of power transformers still have the following constraints: (1) Asset information is separated from multiple information systems such as PMS, EMS, IMS, and ERP, and the sharing and fusion of multi-source heterogeneous data (2) Due to the high reliability of power equipment, the number of defect fault samples is difficult to meet the modeling requirements of intelligent algorithms such as deep learning. For data-driven equipment health management, proposed certain degree of difficulty

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  • Power transformer state evaluation method based on multi-source data fusion
  • Power transformer state evaluation method based on multi-source data fusion
  • Power transformer state evaluation method based on multi-source data fusion

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Embodiment 1

[0108] A method for evaluating the state of a power transformer based on multi-source data fusion. In this embodiment, a certain 110kV transformer in Hubei Province is used as the object, and the following steps are followed in turn:

[0109] Step 1, see figure 1 , constructing the power transformer state evaluation index system, wherein, the power transformer state evaluation index system includes the dissolved gas test index group in oil, the insulating oil test index group, and the electrical test index group, and the dissolved gas test index group in the oil includes H 2 Content 75.4μL / L, CH 4 Content 20.65μL / L, C 2 h 4 Content 45μL / L, C 2 h 6 Content 22.5μL / L, C 2 h 2 Content 0.76μL / L, CO content 878.5μL / L, CO 2 content 2609.3μL / L, total hydrocarbon content 88.91μL / L, total hydrocarbon gas production rate 3.72% / month, the insulating oil test index group includes 14mg / L micro water in oil, breakdown voltage 50kV, oil dielectric loss 0.62% , acid value 0.032mg KOH / g...

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Abstract

The invention discloses a power transformer state evaluation method based on multi-source data fusion. The method comprises the following steps: constructing a power transformer state evaluation indexsystem; on the basis of a fuzzy comprehensive evaluation method, calculating a membership function matrix P(X) of each index group by adopting a membership function combining a semi-trapezoid and a semi-ridge shape; determining optimal original weight distribution of each index based on the sum of squares of deviations according to the subjective and objective weights of each index to obtain a fuzzy comprehensive evaluation result; taking the fuzzy comprehensive evaluation result as a sub-evidence and substituting into the D-S evidence model for fusion, wherein the evaluation index system comprises the in-oil dissolved gas test index group, the insulating oil test index group and the electrical test index group. According to the design, the transformer state can be accurately and objectively evaluated, and the operability is high.

Description

technical field [0001] The invention belongs to the field of state evaluation, and in particular relates to a power transformer state evaluation method that comprehensively considers the fusion of multi-source data such as dissolved gas in equipment oil, insulating oil test, and electrical test. Background technique [0002] The oil-immersed power transformer is the key transformation equipment of the power system. It is a highly integrated and complex system composed of oil, paper, copper, steel, iron and other materials. The operating environment is complex and changeable, the failure mechanism is complex and the maintenance cost is high. Failure will cause huge economic losses. With the development of sensor monitoring equipment and information technology, various operating data, monitoring data, test data and maintenance data of power equipment have been continuously generated since they were put into operation, and the data presents the characteristics of multi-source h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06Y04S10/50
Inventor 杨勇欧阳俊杜治鄢晶陈竹郑旭郑云飞熊志张籍张俊袁红霞涂雅丽
Owner STATE GRID CORP OF CHINA
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