CN206594237U - Transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current - Google Patents

Transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current Download PDF

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Publication number
CN206594237U
CN206594237U CN201720278062.8U CN201720278062U CN206594237U CN 206594237 U CN206594237 U CN 206594237U CN 201720278062 U CN201720278062 U CN 201720278062U CN 206594237 U CN206594237 U CN 206594237U
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China
Prior art keywords
transformer
noise
point current
vibration
neutral point
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CN201720278062.8U
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Chinese (zh)
Inventor
吴天逸
司文荣
苏磊
毛玮韵
陈璐
赵丹丹
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State Grid Shanghai Electric Power Co Ltd
East China Power Test and Research Institute Co Ltd
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State Grid Shanghai Electric Power Co Ltd
East China Power Test and Research Institute Co Ltd
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Abstract

The utility model is related to a kind of transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current, including D.C. magnetic biasing switch board, vibrating sensor, noise transducer, central point current sensor, communication network and background server, described D.C. magnetic biasing switch board one end is connected with vibrating sensor, noise transducer, central point current sensor respectively, and the described D.C. magnetic biasing switch board other end is connected by communication network and background server.Compared with prior art, the utility model, which has, can grasp transformer neutral point direct current and noise, vibration data in real time, prevent the advantages of transformer is run under precarious position.

Description

Transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current
Technical field
The utility model is related to a kind of transformer DC magnetic bias monitoring system, more particularly, to one kind based on vibration, noise With the transformer DC magnetic bias monitoring system of neutral point current.
Background technology
When the operation of monopole ground return circuit occurs for DC line, the DC current for flowing into the earth by earthing pole will be to exchange Power equipment especially transformer in power system produces significant impact (D.C. magnetic biasing is made), is mainly shown as that transformer vibrates Aggravation, noise increase even superheating phenomenon, and increasing along with harmonic wave.According to pertinent literature and other operation of power networks experiences, direct current Magnetic bias can even trigger Transformer Winding to loosen, insulation damages, the accident such as low-voltage side capacitor blast.
Current District of Shanghai possesses DC transmission engineering 4, and ± 800kV gives line, ± 500kV preferably China, Lin Feng and Ge Nan again Line, at full capacity transmission capacity be respectively at 6400MW, 3000MW, 3000MW and 1200MW, the domestic direct current grounding pole 3 in Shanghai, its Middle forest maple and Ge Nan share 1 earthing pole.
Shanghai Power Network by D.C. magnetic biasing influenceed seriously, be this since 2010, defended for 500kV booths, Lian Tang, new Remaining and 220kV He Xing transformer stations take D.C. magnetic biasing braking measure, and effect is notable.
Influence of the D.C. magnetic biasing to Shanghai Power Network transformer is assessed, it is necessary to set up reliable transformer neutrality to fully understand Point D.C. magnetic biasing on-line monitoring platform.
Current existing D.C. magnetic biasing monitoring device mainly includes the neutral point direct current detection means based on Hall sensor With vibrated based on transformer, the D.C. magnetic biasing monitoring device of noise measuring, but both are not subjected to monitoring simultaneously, so can not The assessment neutral point direct current of preparation vibrates to transformer, the influence of noise, also has no way of judging that direct current suppresses after equipment investment, transformation The effect that device operation conditions improves.
Utility model content
The purpose of this utility model be exactly in order to overcome defect that above-mentioned prior art is present and provide it is a kind of based on vibration, The transformer DC magnetic bias monitoring system of noise and neutral point current.
The purpose of this utility model can be achieved through the following technical solutions:
A kind of transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current, including D.C. magnetic biasing control Cabinet processed, vibrating sensor, noise transducer, central point current sensor, communication network and background server, described direct current are inclined Magnetic control cabinet one end is connected with vibrating sensor, noise transducer, central point current sensor respectively, described D.C. magnetic biasing control The cabinet other end processed is connected by communication network and background server.
Described vibrating sensor is acceleration transducer, and the acceleration transducer is arranged on transformer outer wall.
Described noise transducer is sound level meter, and the sound level meter is arranged on by transformer.
Described central point current sensor is Hall sensor, and the Hall sensor is arranged on transformer neutral point.
Described communication network includes communication and converges control unit and information Intranet, described communication converge control unit respectively with direct current Magnetic saturation control cabinet, the connection of information Intranet, described information Intranet are connected with background server.
Described background server is connected by internal lan with client.
Compared with prior art, the utility model can grasp transformer neutral point direct current and noise, vibration number in real time According to preventing transformer from being run under precarious position;Data basis is provided for selection direct current braking measure, is that simulation model is built Important evidence and result verification;It is the important composition of DC magnetic biasing suppression device, whether its data determines direct current restraining device The compensativity of input and direct current restraining device, while being also the important criterion for examining direct current inhibition
Brief description of the drawings
Fig. 1 is site layout project structural representation of the present utility model;
Fig. 2 is communication structure schematic diagram of the present utility model.
Wherein 1 it is vibrating sensor, 2 be noise transducer, 3 be neutral point current sensor, 4 is D.C. magnetic biasing control Cabinet, 5 be transformer, 6 be communication converge control unit, 7 be information Intranet, 8 be background server, 9 internal lans, 10 be client End.
Embodiment
Below in conjunction with the accompanying drawing in the utility model embodiment, the technical scheme in the utility model embodiment is carried out Clearly and completely describe, it is clear that described embodiment is a part of embodiment of the present utility model, rather than all implement Example.Based on the embodiment in the utility model, those of ordinary skill in the art institute on the premise of creative work is not made The every other embodiment obtained, should all belong to the scope of the utility model protection.
As depicted in figs. 1 and 2, a kind of transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current, Including D.C. magnetic biasing switch board 4, vibrating sensor 1, noise transducer 2, central point current sensor 3, communication network and backstage Server 8, described one end of D.C. magnetic biasing switch board 4 respectively with vibrating sensor 1, noise transducer 2, central point current sense Device 3 is connected, and the described other end of D.C. magnetic biasing switch board 4 is connected by communication network and background server 8;
Vibration that described D.C. magnetic biasing switch board 4 collects each transformer station, noise, neutral point direct current data are uploaded To background server, the D.C. magnetic biasing situation to transformer is monitored, while being entered by data mining technology to Monitoring Data Row analysis.
Described vibrating sensor 1 is acceleration transducer, and the acceleration transducer is arranged on transformer outer wall, to becoming Depressor vibration signal is acquired.Described acceleration transducer frequency acquisition is 6.4kHz, gathers last second within every two minutes Data, then calculate each spectrum component of vibration acceleration by the acceleration signal collected through FFT, at the same according to integration and Quadratic integral computing obtains speed and displacement signal.
Described noise transducer 2 is sound level meter, and the sound level meter is arranged on by transformer, and transformer noise signal is carried out Collection.The A weighted values of last second collection sound level meter of every two minutes.
Described central point current sensor 3 is Hall sensor, and the Hall sensor is arranged on transformer neutral point, right Transformer neutral point current signal is acquired.Last 15 seconds every two minutes 15 collected per second of described Hall sensor DC current data sorting takes middle 5 numerical value to carry out after arithmetic average, and result of calculation is sent into D.C. magnetic biasing control on the spot Cabinet.
Described communication network includes communication and converges control unit 6 and information Intranet 7, described communication converge control unit 6 respectively with D.C. magnetic biasing switch board 4, information Intranet 7 are connected, and described information Intranet 7 is connected with background server 8.The direct current collected is inclined Magnetic data is by cable transmission and is stored in D.C. magnetic biasing switch board 4 on the spot, and D.C. magnetic biasing switch board 4 is transmitted by optical fiber Converged according to the communication in arriving at a station and control unit 6, communication remittance control unit 6 finally accesses Intranet and data are uploaded into background server 8.
Described background server 8 is connected by internal lan 9 with client 10, and user is supplied by providing web services The D.C. magnetic biasing data of each transformer station are checked, D.C. magnetic biasing influence is estimated and analyzed at any time.
It is described above, embodiment only of the present utility model, but protection domain of the present utility model do not limit to In this, any one skilled in the art can readily occur in various in the technical scope that the utility model is disclosed Equivalent modifications or substitutions, these modifications or substitutions should all cover within protection domain of the present utility model.Therefore, this practicality New protection domain should be defined by scope of the claims.

Claims (6)

1. a kind of transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current, it is characterised in that including straight Magnetic saturation control cabinet, vibrating sensor, noise transducer, central point current sensor, communication network and background server are flowed, it is described D.C. magnetic biasing switch board one end be connected respectively with vibrating sensor, noise transducer, central point current sensor, described is straight The magnetic saturation control cabinet other end is flowed to connect by communication network and background server.
2. a kind of transformer DC magnetic bias based on vibration, noise and neutral point current according to claim 1 monitors system System, it is characterised in that described vibrating sensor is acceleration transducer, the acceleration transducer is arranged on transformer outer wall On.
3. a kind of transformer DC magnetic bias based on vibration, noise and neutral point current according to claim 1 monitors system System, it is characterised in that described noise transducer is sound level meter, the sound level meter is arranged on by transformer.
4. a kind of transformer DC magnetic bias based on vibration, noise and neutral point current according to claim 1 monitors system System, it is characterised in that described central point current sensor is Hall sensor, and it is neutral that the Hall sensor is arranged on transformer Point.
5. a kind of transformer DC magnetic bias based on vibration, noise and neutral point current according to claim 1 monitors system System, it is characterised in that described communication network converges including communication controls unit and information Intranet, described communication, which converges, controls unit difference It is connected with D.C. magnetic biasing switch board, information Intranet, described information Intranet is connected with background server.
6. a kind of transformer DC magnetic bias based on vibration, noise and neutral point current according to claim 5 monitors system System, it is characterised in that described background server is connected by internal lan with client.
CN201720278062.8U 2017-03-21 2017-03-21 Transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current Active CN206594237U (en)

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CN201720278062.8U CN206594237U (en) 2017-03-21 2017-03-21 Transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current

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Application Number Priority Date Filing Date Title
CN201720278062.8U CN206594237U (en) 2017-03-21 2017-03-21 Transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113124922A (en) * 2019-12-30 2021-07-16 上海电力大学 Method for monitoring running state of non-electric-quantity multi-physical-quantity synchronous measurement electrical equipment
CN115566639A (en) * 2022-11-14 2023-01-03 国网湖北省电力有限公司电力科学研究院 Multi-parameter control transformer neutral point current abnormity protection method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113124922A (en) * 2019-12-30 2021-07-16 上海电力大学 Method for monitoring running state of non-electric-quantity multi-physical-quantity synchronous measurement electrical equipment
CN115566639A (en) * 2022-11-14 2023-01-03 国网湖北省电力有限公司电力科学研究院 Multi-parameter control transformer neutral point current abnormity protection method

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