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Method and system for judging relevance between transformer substation direct-current magnetic bias and rail transit direct-current fluctuation source

A technology of DC bias and rail transit, applied in the direction of measuring current/voltage, measuring electrical variables, measuring devices, etc., can solve the problem of large amount of DC bias data in substations, complex operating conditions of rail transit, and noise of DC bias characteristic data Data flooding and other problems, to achieve high engineering application value, reduce redundant calculations, and low cost of supporting hardware

Active Publication Date: 2022-04-12
SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] There are two major problems in identifying whether the substation’s DC bias is caused by the DC fluctuation source of the rail transit. Bias magnetic characteristic data are easily overwhelmed by a large amount of noise data. How to use efficient and simple detection algorithms to extract DC magnetic Situation correlation analysis is another big problem

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  • Method and system for judging relevance between transformer substation direct-current magnetic bias and rail transit direct-current fluctuation source
  • Method and system for judging relevance between transformer substation direct-current magnetic bias and rail transit direct-current fluctuation source
  • Method and system for judging relevance between transformer substation direct-current magnetic bias and rail transit direct-current fluctuation source

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Embodiment Construction

[0020] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0021] Such as Figure 1~3 A method for judging the correlation between the DC bias magnetic field of a substation and the DC fluctuation source of a rail transit is shown, which includes the following steps:

[0022] Step 1: Taking the transformer DC bias current as the characteristic parameter to identify the type of DC fluctuation source, collect the time series data of the grounded main transformer DC bias current of the detected substation, and the time series data of the DC bias current of the grounded main transformer is obtained by the grounded main transformer DC The bias current is sorted and formed according to the time series of the acquisition time;

[0023] Step 2: According to the characteristics of the non-random disturbance of the abnormal DC bias current of the transformer, the abnormal data detection is performed on the time ...

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Abstract

The invention discloses a method for judging relevance between transformer substation direct current magnetic bias and a rail transit direct current fluctuation source. The method comprises the following steps: step 1, collecting grounding main transformer direct current magnetic bias current time sequence data of a detected transformer substation; 2, obtaining a transformer DC magnetic bias abnormal current information table; 3, drawing a direct current magnetic bias abnormal current characteristic value change trend chart; and 4, judging whether the direct current magnetic bias of the detected transformer substation is caused by a rail transit direct current fluctuation source or not. The method can quickly and accurately judge whether the direct-current magnetic bias of the transformer substation is caused by a rail transit direct-current fluctuation source or not.

Description

technical field [0001] The invention relates to the field of rail transit DC bias technology, in particular to a method and system for judging the correlation between substation DC bias and rail traffic DC fluctuation sources. Background technique [0002] While the rapid development of urban rail transit has brought convenience to urban residents, it has also caused increasing negative impacts on urban power grids. The DC stray current of rail transit will flow through the ground and invade the substation of the grounded grid, which will cause the DC bias of the grounded transformer, increase the harmonic content, and cause harm to the grid equipment. Therefore, the DC bias phenomenon of substation transformers caused by rail transit DC fluctuation sources has received more and more attention and research. [0003] At present, the common types of DC fluctuation sources that cause DC bias events in substations include: single pole return operation of DC transmission system,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R19/00
CPCY04S10/50
Inventor 陈璐黄华吴天逸苏磊赵丹丹邱凌李小双邵华锋王亮殷雨航
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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