CN110389250A - A kind of device and method of for transformer D.C. magnetic biasing event early warning - Google Patents

A kind of device and method of for transformer D.C. magnetic biasing event early warning Download PDF

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Publication number
CN110389250A
CN110389250A CN201910686510.1A CN201910686510A CN110389250A CN 110389250 A CN110389250 A CN 110389250A CN 201910686510 A CN201910686510 A CN 201910686510A CN 110389250 A CN110389250 A CN 110389250A
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CN
China
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event
module
magnetic biasing
current
data
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CN201910686510.1A
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Chinese (zh)
Inventor
王亮
邵华锋
邹翔
李小双
李雄
张喆
尹江南
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武汉新电电气股份有限公司
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Priority to CN201910686510.1A priority Critical patent/CN110389250A/en
Publication of CN110389250A publication Critical patent/CN110389250A/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16566Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
    • G01R19/16571Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing AC or DC current with one threshold, e.g. load current, over-current, surge current or fault current
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere

Abstract

The present invention discloses a kind of device and method for main transformer D.C. magnetic biasing event early warning.Device includes multiple GPS clock modules, multiple current dividers, multiple alternating current-direct current synchronous acquisition modules, data monitoring module, big data analysis module and warning module;String has a current divider on main transformer neutral point earth-return circuit in each monitoring point, and each current divider is equipped with the connecting terminal for sampling the alternating current-direct current signal for flowing through main transformer neutral point;Each current divider and corresponding GPS clock module are electrically connected with an alternating current-direct current synchronous acquisition module;Each alternating current-direct current synchronous acquisition module passes through a communication module and data monitoring module communicates, and data monitoring module is connect with big data analysis module, and big data analysis module is connect with warning module;The present invention can fluctuate the analysis of synchronizing property to more monitoring point direct currents, effectively identify D.C. magnetic biasing event, quickly identify D.C. magnetic biasing event type and the extent of injury, position harmonic wave source, provide decision-making foundation for power grid operation maintenance personnel.

Description

A kind of device and method of for transformer D.C. magnetic biasing event early warning
Technical field
The present invention relates to transformer DC magnetic bias technical fields, particularly relate to a kind of for transformer D.C. magnetic biasing The device and method of event early warning.
Background technique
When transformer neutral point flows through DC current, transformer noise can be caused to increase, vibration aggravation, voltage waveform distortion With the abnormal phenomenon such as transformer hot-spot, transformer neutral point DC current and harmonic current are monitored, change can be accurately reflected The operating status of depressor.Whether identification AC network there is DC magnetic bias phenomena, to prevent main transformer D.C. magnetic biasing risk, guarantees to hand over Stream electric power netting safe running has a very important significance.
In applying at the scene, D.C. magnetic biasing monitoring device is influenced by sensor performance and environment, there is also many limitations, Seriously affect main transformer D.C. magnetic biasing monitoring effect.If Hall punching sensor zero drift is big, it is easily damaged under fault current, Long-time service is unable to satisfy to require;It is sampled from main transformer neutral point band steel using band steel folder, one sampled section band steel Material and effect length, the consistency and measurement accuracy of sensor can not ensure.Monitoring main transformer neutral point mixing at present Electric current carries out analysis and early warning to D.C. magnetic biasing event, also uses without correlation.
Summary of the invention
To solve the problems mentioned above in the background art, it is straight for main transformer that the purpose of the present invention is to provide one kind Flow the device and method of bias event early warning.
To achieve the above object, the technical scheme adopted by the invention is as follows:
It is described pre- the present invention provides a kind of device of for transformer D.C. magnetic biasing event early warning, including prior-warning device Alarm device includes multiple GPS clock modules, multiple current dividers, multiple alternating current-direct current synchronous acquisition modules, multiple communication modules, one Data monitoring module, a big data analysis module and a warning module;
The current divider is connected on main transformer neutral point earth-return circuit in each monitoring point, each described point The normal voltage output of stream device equipped with connecting terminal and is connected to corresponding alternating current-direct current synchronous acquisition by connecting terminal Module, the alternating current-direct current synchronous acquisition module is for acquiring the alternating current-direct current mixed signal that main transformer neutral point flows through;Each friendship DC synchronous acquisition module is also electrically connected with a corresponding GPS clock module, for receiving synchronous pulse per second (PPS) and clock; Each alternating current-direct current synchronous acquisition module passes through a communication module and data monitoring module communication connection, the data monitoring mould Block is attached with big data analysis module by a variety of table structures, and the big data analysis module passes through a variety of with warning module Table structure is attached;
Wherein, GPS clock module receives satellite-signal and is modified to clock, and all GPS clock modules is made to act in agreement;
The integrated two-way acquisition channel of each alternating current-direct current synchronous acquisition module: acquisition channel is using product power frequency complete cycle all the way Point mode improves small mixed signal, filters out power frequency and higher hamonic wave, the direct current fluctuation in continuous acquisition electric current, simultaneously When detecting that direct current fluctuation is more than setting threshold value, from GPS clock module read action moment value and report;Another way acquisition is logical Road improves small mixed signal using AC servo amplification mode, inhibits direct current signal, has to power frequency and harmonic wave electricity Flow signal;
The data monitoring module receives the current data of each alternating current-direct current synchronous acquisition, and by all data by the acquisition moment Sequence and data type classifications storage;
The big data analysis module is stored with D.C. magnetic biasing property data base, is reference with signature waveform, utilizes Euclidean Distance algorithm identifies the similarity of equal length waveform near D.C. magnetic biasing event generation time, in conjunction with current changing rate, electric current The parameters such as vibration frequency, current distribution quickly identify D.C. magnetic biasing event type;Front and back harmonic wave variation occurs for analysis event Rule assesses transformer DC magnetic bias severity, obtains analysis result;
The warning module receives the analysis result data of big data analysis module, and will analysis result respectively with short message, Voice or WEB page bullet frame mode are sent, and provide D.C. magnetic biasing event type and extent of injury Warning Service for client.
In above-mentioned technical proposal, each alternating current-direct current synchronous acquisition module includes exchange Acquisition Circuit and direct current acquisition electricity Road;The mixed signal of the current divider sampling is respectively connected to exchange Acquisition Circuit and direct current Acquisition Circuit;The exchange acquisition electricity Road and direct current Acquisition Circuit have an independent acquisition controller, each acquisition controller connect with GPS clock module and with The starting acquisition of GPS clock module pulse per second (PPS) rising edge;What is be respectively equipped in the exchange Acquisition Circuit and direct current Acquisition Circuit adopts Collection controller passes through serial ports and connect with communication module.
In above-mentioned technical proposal, the rated current of the current divider reaches kilo-ampere grade.
In above-mentioned technical proposal, the data monitoring module is an embedded computer, the big data analysis module For a high-performance server.
It include device current tables of data and device action information in the data monitoring module in above-mentioned technical proposal Table;It include D.C. magnetic biasing Event Information Table, D.C. magnetic biasing signature waveform table, warning message table in the big data analysis module With facility information table;The device current tables of data, device action information table are carried out with D.C. magnetic biasing Event Information Table respectively Table structure connection, the D.C. magnetic biasing Event Information Table and warning message table carry out table structure connection, and the warning message table is also Table structure connection is carried out with D.C. magnetic biasing signature waveform table and facility information table, the information of the warning message table is output to alarm Module.
In above-mentioned technical proposal, the warning module includes sound alarm module, GSM text message alarm, web display mould Block, the sound alarm module, GSM text message alarm, web display module are connect with big data analysis module;
Wherein, the sound alarm module is used to play D.C. magnetic biasing event information to system operation maintenance personnel with broadcast mode Voice;
The GSM text message alarm is used to send D.C. magnetic biasing event text letter to system operation maintenance personnel with short message mode Breath;
The web display module is used to send the page of D.C. magnetic biasing event information to the users for being equipped with system APP Face pop-up.
In above-mentioned technical proposal, there are many affair character data, D.C. magnetic biasings for the D.C. magnetic biasing property data base storage Event type specifically includes that the bipolar off-center operation event of DC transmission system monopolar operation event, DC transmission system, the sun The ground electric potential fluctuation thing that earth's magnetic field anomalous event caused by magnetic storm, seismic earth's magnetic field anomalous event and rail traffic introduce Part.
The present invention also provides a kind of method of for transformer D.C. magnetic biasing event early warning, above-mentioned prior-warning device is integrated with Six tables are device current tables of data, device action information table, D.C. magnetic biasing Event Information Table, D.C. magnetic biasing characteristic wave respectively Shape table, warning message table and facility information table carry out information transmitting between each table in the steps below, realize transformer DC magnetic bias The early warning of event type and event hazard rating:
Step 1: the device current tables of data primary fields include automatically incremental result ID, device id, DC current Size and direction, AC wave shape, data acquisition moment;The device current tables of data uploads to data for storing each monitoring point The direct current of monitoring module with exchange real-time waveform data.
Step 2: the device action information table primary fields include automatically incremental result ID, device id, direct current fluctuation Moment, fluctuation starting or end mark;When DC current absolute value rises to initiation threshold or more when monitoring point, direct current wave is generated Dynamic initial time and beginning flag when DC current absolute value drops into end threshold value or less when monitoring point, generate direct current fluctuation Finish time and end mark.
Step 3: the D.C. magnetic biasing Event Information Table primary fields include automatically incremental event id, D.C. magnetic biasing thing Part moment, movement device id collection, event DC waveform data set, event AC wave shape data set;The data monitoring module is real When retrieval facility action message table, meet default value when there is two or more monitoring point direct current fluctuation Time of day offsets, then it is described Event id is incremented by automatically in D.C. magnetic biasing Event Information Table, and by two of movement and the device id deposit of more than two monitoring points is dynamic Make device id concentration, while using the equipment direct current of trigger event fluctuation moment value as D.C. magnetic biasing event time;Based on movement Device id collection is retrieved the device current tables of data according to the relevant interval of time of D.C. magnetic biasing event time, is obtained Event DC waveform data set and event AC wave shape data set, above-mentioned data set are everything equipment AC wave shape or direct current The set of Wave data.
Step 4: the D.C. magnetic biasing signature waveform table is used to store the D.C. magnetic biasing characteristic wave of D.C. magnetic biasing event type Shape, from the D.C. magnetic biasing property data base for being stored in the big data analysis module;
Step 5: the warning message table primary fields include automatically incremental alert event ID, device id, event class Type, event hazard rating etc.;The big data analysis module of prior-warning device utilizes Euclidean distance algorithm, identifies that the D.C. magnetic biasing is special The similarity of one section of DC waveform in waveform table and D.C. magnetic biasing Event Information Table is levied, confirms D.C. magnetic biasing event type;Simultaneously AC wave shape harmonic wave accounting variation in D.C. magnetic biasing Event Information Table is analyzed, determines main transformer D.C. magnetic biasing event hazard rating.Danger Evil grade is divided into especially great (I grades), great (II grades), larger (III level), general (IV grades) four, analysis from high to low As a result it is stored in warning message table corresponding field.
Step 6: the facility information table primary fields include that device id, transformer name and location information, alarm are arranged It applies;The prior-warning device extracts transformer name and location information according to warning message table from the facility information table, according to Which kind of alarm measure the determination of main transformer D.C. magnetic biasing hazard rating takes, automatically by the warning message of collection with short message, voice or WEB Pop-up mode notifies user, realizes the quick method for early warning to main transformer D.C. magnetic biasing event.
In above-mentioned technical proposal, the D.C. magnetic biasing event type includes DC transmission system monopolar operation event, direct current Earth's magnetic field anomalous event caused by the bipolar off-center operation event of transmission system, magnetic storm and by seismic earth magnetism Field anomalous event and the ground electric potential fluctuation event as caused by rail traffic.
Compared with prior art, the beneficial effects of the present invention are:
(1) prior-warning device provided by the invention can quick response AC network occur direct current fluctuation, when device action believe Direct current fluctuation Time of day offsets in nearest two or more monitoring point is retrieved in breath table and meets default value, then confirms AC network D.C. magnetic biasing event effectively identifies D.C. magnetic biasing event to realize the synchronism analysis fluctuated to more monitoring point direct currents.
(2) the present invention is based on D.C. magnetic biasing property data base and wave-form similarity algorithms, quickly determine event type and danger Evil grade, positioning system harmonic wave source provides decision-making foundation for power grid operation maintenance personnel.
(3) prior-warning device provided by the invention is by transformer DC magnetic bias event information with short message, voice or the pop-up side WEB Formula provides timely Warning Service for client, guarantees AC network safe operation.
The present invention is sampled the alternating current-direct current hybrid current that transformer neutral point flows through using the current divider of specific customization, Each transformer neutral point direct current of Simultaneous Monitoring and ac harmonic currents perceive the DC synchronous fluctuation occurred in AC network, comment Transformer DC magnetic bias event type and hazard rating are estimated, by main transformer D.C. magnetic biasing event information with short message, voice and WEB page It plays the modes such as frame and sends user, realize the device and method to D.C. magnetic biasing event early warning.
Detailed description of the invention
Fig. 1 is the structural schematic diagram in the present invention for the device of main transformer D.C. magnetic biasing event early warning;
Fig. 2 is the structural schematic diagram of current divider in the present invention;
Fig. 3 is the logical schematic in the present invention for the method for main transformer D.C. magnetic biasing event early warning;
Fig. 4 is the structural schematic diagram of alternating current-direct current synchronous acquisition module in the present invention;
Description of symbols:
1, GPS clock module;2, current divider;3, alternating current-direct current synchronous acquisition module;31, Acquisition Circuit is exchanged;311, super Servo amplifying circuit;312, the first microcontroller;32, direct current Acquisition Circuit;321, programmable amplifying circuit;322, complete cycle integrates AD;323, the second microcontroller;4, communication module;5, data monitoring module;6, big data analysis module;7, warning module;71, Sound alarm module;72, GSM text message alarm;73, web display module;
21, current feed anode;22, current feed fixation hole;23, current divider outer insulation jacket;24, voltage lead is being just End;25, isabellin;26, voltage lead negative terminal;27, current feed negative terminal;28, red copper electrode;
001, device current tables of data;002, device action information table;003, D.C. magnetic biasing Event Information Table;004, direct current Bias signature waveform table;005, warning message table;006, facility information table.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to The drawings and specific embodiments, how the present invention is further explained implements.
As shown in Figure 1, the present invention provides a kind of device of for transformer D.C. magnetic biasing event early warning, including early warning dress It sets, the prior-warning device includes multiple GPS clock modules 1, multiple current dividers 2, multiple alternating current-direct current synchronous acquisition modules 3, multiple The big data analysis module 6 of data monitoring module 5, one of communication module 4, one and a warning module 7;Wherein, selectively, The model Motorola M12MT of GPS clock module 1;Communication module 4 is ZLSN3002 (wire communication) or SIM900A is (wireless Communication).
The current divider is connected on main transformer neutral point earth-return circuit in each monitoring point, each described point The normal voltage output of stream device equipped with connecting terminal and is connected to corresponding alternating current-direct current synchronous acquisition by connecting terminal Module 3, the alternating current-direct current synchronous acquisition module 3 is for acquiring the alternating current-direct current mixed signal that main transformer neutral point flows through;Each Alternating current-direct current synchronous acquisition module 3 also with a corresponding GPS clock module 1 be electrically connected, for receive synchronous pulse per second (PPS) and Clock;Each alternating current-direct current synchronous acquisition module 3 passes through a communication module 4 and 5 communication connection of data monitoring module, the number It is attached with big data analysis module 6 by a variety of table structures according to monitoring module 5, the big data analysis module 6 and early warning Module 7 is attached by a variety of table structures;
Specifically, as shown in figure 3, data monitoring module 5 includes device current tables of data 001, device action information table 002.Device current tables of data 001 be used to store direct current that each monitoring point uploads with exchange real-time waveform data;Device action letter Breath table 002 is used to store the direct current fluctuation initial time and finish time that each monitoring point uploads.When alternating current-direct current synchronous acquisition module 3 When detecting that DC current absolute value rises to initiation threshold or more, direct current fluctuation initial time and beginning flag are generated;When straight Stream current absolute value drops into when terminating threshold value or less, generates direct current fluctuation finish time and end mark;Above-mentioned data are by leading to News module 4 uploads to data monitoring module 5.
Big data analysis module 6 includes D.C. magnetic biasing Event Information Table 003, D.C. magnetic biasing signature waveform table 004, alarm signal Table 005 and facility information table 006 are ceased, the direct current that D.C. magnetic biasing signature waveform table 004 is used to store D.C. magnetic biasing event type is inclined Magnetic signature waveform derives from and is stored in the D.C. magnetic biasing property data base imported in advance in the big data analysis module 6;If Standby 006 primary fields of information table include device id, transformer name and location information, alarm measure, preparatory typing big data point It analyses in module 6;
Method for early warning: data monitoring module 5 retrieves device action information table 002, when occur two and two with Upper equipment direct current fluctuation Time of day offsets meets default value, and wherein default value is 100mS, then it is concurrent to generate new D.C. magnetic biasing event It is sent to big data analysis module 6, big data analysis module 6 stores event information into D.C. magnetic biasing Event Information Table 003, and Device current tables of data 001 is acted according to the information retrievals such as device id collection and event time in D.C. magnetic biasing Event Information Table 003, Obtain the corresponding DC waveform data set of D.C. magnetic biasing event and event AC wave shape data set.Big data analysis module 6 passes through Euclidean distance algorithm identifies the D.C. magnetic biasing signature waveform table 004 and one section of direct current wave in D.C. magnetic biasing Event Information Table 003 The similarity of shape confirms D.C. magnetic biasing event type;It is accounted for by AC wave shape harmonic wave in analysis D.C. magnetic biasing Event Information Table 003 Than variation, determine that main transformer D.C. magnetic biasing event hazard rating, analysis result are stored in 005 corresponding field of warning message table.According to report Alert information table 005, extracts transformer name and location information from the facility information table 006, is endangered according to main transformer D.C. magnetic biasing Which kind of alarm measure evil grade determination takes, and notifies to use in a manner of short message, voice or WEB pop-up by the warning message of collection automatically The quick method for early warning to main transformer D.C. magnetic biasing event is realized at family.
Wherein, GPS clock module 1 receives satellite-signal and is modified to clock, and all clock modules is made to act in agreement;Example Such as, GPS clock module model Motorola M12MT receiver.
The rated through-current of current divider 2 reaches kilo-ampere grade, goes here and there in main transformer neutral point earth-return circuit, current divider The output of 2 normal voltages is furnished with connecting terminal, for sampling the alternating current-direct current mixed signal for flowing through main transformer neutral point.Current divider 2 Using the current divider sampling current signal of fixed resistance value, output voltage signal is in direct ratio with current signal.
As shown in Fig. 2, the current divider 2 includes current feed anode 21, current feed fixation hole 22, current divider external insulation Sheath 23, voltage lead anode 24, isabellin 25, voltage lead negative terminal 26, current feed negative terminal 27 and two red coppers Electrode 28.Current feed anode 21 is connected to the red copper electrode 28 that left side is arranged in by current feed fixation hole 22, left side Red copper electrode 28 is connected to the red copper electrode 28 that right side is arranged in by isabellin 25, and the red copper electrode 28 on right side passes through Current feed fixation hole 22 is connected to current feed negative terminal 27, and extraction voltage lead anode 24 is distinguished at 26 both ends of isabellin With voltage lead negative terminal 26,2 surface of current divider is sealed with current divider outer insulation jacket 23, voltage lead anode 24 and voltage lead Negative terminal 26 is for sampling the alternating current-direct current mixed signal for flowing through corresponding main transformer neutral point.Or current divider 2 can be in It purchases in the market, for example, the low sense current divider of FLP1 matrix formula high current.
The integrated two-way acquisition channel of each alternating current-direct current synchronous acquisition module 3: acquisition channel uses power frequency complete cycle all the way Integral way improves small mixed signal, filters out power frequency and higher hamonic wave, the direct current fluctuation in continuous acquisition electric current, together When detect direct current fluctuation be more than setting threshold value when, from 1 read action moment value of GPS clock module and report;Another way is adopted Collection channel improves small mixed signal using AC servo amplification mode, inhibits direct current signal, has to power frequency and humorous Signal wave current;
Each alternating current-direct current synchronous acquisition module 3 includes exchange Acquisition Circuit 31 and direct current Acquisition Circuit 32.Current divider 2 takes The mixed signal of sample is respectively connected to exchange Acquisition Circuit 31 and direct current Acquisition Circuit 32;The exchange Acquisition Circuit 31 and direct current are adopted Collector 32 has independent acquisition controller (i.e. microcontroller), and each acquisition controller is connect with GPS clock module 1, And is all started with GPS clock module pulse per second (PPS) rising edge and acquired;It is set respectively in exchange Acquisition Circuit 31 and direct current Acquisition Circuit 32 Some acquisition controllers pass through serial ports and connect with communication module 4.Wherein output interface there are two types of the configurations of GPS clock module, one Kind output interface is pulse per second (PPS) output interface, and the serial ports of another output interface exports the UTC moment corresponding with pulse per second (PPS), above-mentioned Two kinds of interfaces are all connected to alternating current-direct current synchronous acquisition module 3.
Further, as shown in figure 4, exchange Acquisition Circuit 31 includes super servo amplifying circuit 311 and the first microcontroller Device 312, high digital-to-analogue number channel built in the first microcontroller 312;The mixed signal that current divider 2 samples inputs super servo amplification electricity Road 311 improves small mixed signal using AC servo amplification mode by super servo amplifying circuit 311, inhibits Direct current signal obtains power frequency and harmonic current signal, and by obtained power frequency and harmonic current signal through the first microcontroller 312 It being exported after built-in efficient modulus channel analog-to-digital conversion, the input terminal of the first microcontroller 312 is also connect with GPS clock module 1, The output end of first microcontroller 312 is connect by serial ports with communication module 4, and serial data packet is exported;Wherein, super servo is put The model AD8657, the model STM32F103 of the first microcontroller 312 of big circuit 311.
Direct current Acquisition Circuit 32 includes programmable amplifying circuit 321, integral AD 322 complete cycle and the second microcontroller 323, The mixed signal that current divider 2 samples inputs programmable amplifying circuit 321, and through programmable amplifying circuit 321, treated that signal is input to Complete cycle integrates AD 322, and the signal after integral AD 322 is improved through complete cycle is input to the second microcontroller 323, the second micro-control The input terminal of device 323 processed is also connect with GPS clock module 1, and the output end of the second microcontroller 323 passes through serial ports and communication module 4 connections, export serial data packet;Wherein, the model AD8253 of programmable amplifying circuit 321, complete cycle integrate the type of AD 322 Number be TLC7135, the model STM32F103 of the second microcontroller 323.
The data monitoring module 5 receives the current data of each alternating current-direct current synchronous acquisition, and when by all data by acquisition Carve sequential classification storage;Data monitoring module 5 is the embedded computer for having network access facility, for example, model: IBOX-180.Operating system, database and monitoring programme are installed, major function includes receiving multiple communication modules on computer 4 data packets uploaded by network, monitoring programme parse data packet according to communications protocol, and result data storage corresponds to table to database In;Data monitoring module 5 is communicated by Ethernet and communication module 4.
The big data analysis module 6 is stored with D.C. magnetic biasing property data base, is reference with signature waveform, utilizes Euclidean Distance algorithm identifies the similarity of equal length waveform near D.C. magnetic biasing event generation time, in conjunction with current changing rate, electric current The parameters such as vibration frequency, current distribution quickly identify D.C. magnetic biasing event type;Front and back harmonic wave variation occurs for analysis event Rule assesses transformer DC magnetic bias severity, obtains analysis result;Big data analysis module 6 is one high property Energy server, for example, model: PowerEdge T340.Operating system, database and Analysis Service journey are installed on server Sequence, major function retrieve the table in data monitoring module including the use of SQL statement, with the data and characteristic retrieved It is compared identification according to the data in library, warning information is generated, user is sent for warning information by warning module.
Wherein, there are many affair character data, D.C. magnetic biasing event type mainly wraps the storage of D.C. magnetic biasing property data base It includes: earth magnetism caused by the bipolar off-center operation event of DC transmission system monopolar operation event, DC transmission system, magnetic storm The ground electric potential fluctuation event etc. that field anomalous event, seismic earth's magnetic field anomalous event and rail traffic introduce.
The warning module 7 receives the analysis result data of big data analysis module 6, and will analyze result respectively with short Letter, voice or WEB page bullet frame mode are sent, and provide D.C. magnetic biasing event type and extent of injury Warning Service for client.
In the present invention, wide 2 rated current of temperature current divider reaches kilo-ampere grade.Transformer neutral point is flowed in single-phase short circuit The electric current crossed is up to kilo-ampere grade, therefore the current divider selected must satisfy fault current discharge capacity requirement.
In the present invention, the warning module 7 includes sound alarm module 71, GSM text message alarm 72, web display mould Block 73, the sound alarm module 71, GSM text message alarm 72, web display module 73 connect with big data analysis module 6 It connects;
Wherein, the sound alarm module 71 is used to play D.C. magnetic biasing event letter to system operation maintenance personnel with broadcast mode Cease voice;The GSM text message alarm 72 is used to send D.C. magnetic biasing event text to system operation maintenance personnel with short message mode Information;The web display module 73 is used to send the page of D.C. magnetic biasing event information to the users for being equipped with system APP Pop-up.
Specifically, sound alarm module 71 generates audio alert information using sound card;GSM text message alarm 72 passes through short Believe that cat accesses GSM network, to user's transmission of message warning message;WEB display module 73 realizes service by calling WCF service On the warning message real-time exhibition to client WEB page of device end.
Working principle of the present invention: current divider 2 is sealed in neutral point of main transformer earth-return circuit, since 2 resistance of current divider exists Low-frequency range resistance value is fixed as R, and the pressure drop that electric current generates on current divider 2 is directly proportional with loop current, measures on current divider 2 Direct current pressure drop VDC with exchange pressure drop VAC, calculate separately to obtain the direct current in neutral point of main transformer earth-return circuit according to Ohm's law Electric current and alternating current.
In AC network, it is known that the active force of DC voltage by with the speed of 300,000 kilometer per seconds along wire spread.Due to AC network and the earth constitute a low-impedance closure DC loop, when closed circuit couples DC voltage, in power grid DC current can be fluctuated with voltage force is synchronous everywhere, using this feature, can quickly identify the direct current that AC network occurs Bias event.
Prior-warning device provided by the invention can quick response AC network occur direct current fluctuation, when device action information table Direct current fluctuation Time of day offsets in nearest two or more monitoring point is retrieved in 002 and meets default value, then confirms AC network D.C. magnetic biasing event effectively identifies D.C. magnetic biasing event to realize the synchronism analysis fluctuated to more monitoring point direct currents.Due to DC current can be fluctuated with voltage force is synchronous everywhere in AC network, be joined using current threshold and current fluctuation synchronism etc. Amount judgement, can effectively avoid D.C. magnetic biasing false positive event from occurring, therefore use synchronized analyzing method, could effectively identify that direct current is inclined Magnetic event.
The present invention also provides a kind of method of for transformer D.C. magnetic biasing event early warning, above-mentioned prior-warning device is integrated with Six tables are that device current tables of data 001, device action information table 002, D.C. magnetic biasing Event Information Table 003, direct current are inclined respectively Magnetic signature waveform table 004, warning message table 005 and facility information table 006 carry out information transmitting between each table in the steps below, Realize the early warning of transformer DC magnetic bias event type and event hazard rating:
Step 1: 001 primary fields of device current tables of data include automatically incremental result ID, device id, direct current Size of current and direction, AC wave shape, data acquisition moment;The device current tables of data 001 is for storing each monitoring point Pass to the direct current of data monitoring module 5 with exchange real-time waveform data.
Step 2: 002 primary fields of device action information table include automatically incremental result ID, device id, direct current Fluctuate moment, fluctuation starting or end mark;When monitoring point, DC current absolute value rises to initiation threshold or more, generate straight Stream fluctuation initial time and beginning flag generate direct current when DC current absolute value drops into end threshold value or less when monitoring point Fluctuate finish time and end mark.
Step 3: 003 primary fields of D.C. magnetic biasing Event Information Table include automatically incremental event id, D.C. magnetic biasing Event time, movement device id collection, event DC waveform data set, event AC wave shape data set;The data monitoring module 5 Real-time retrieval device action information table 002, when appearance two and more than two monitoring point direct current fluctuation Time of day offsets meet default Value, wherein default value is 100mS, then event id is incremented by automatically in the D.C. magnetic biasing Event Information Table 003, by two of movement And the device id deposit movement device id of more than two monitoring points is concentrated, while the equipment direct current of trigger event is fluctuated moment value As D.C. magnetic biasing event time;Based on movement device id collection, according to the relevant interval of time of D.C. magnetic biasing event time The device current tables of data 001 is retrieved, event DC waveform data set and event AC wave shape data set, above-mentioned number are obtained According to the set integrated as everything equipment AC wave shape or DC waveform data.
Step 4: the D.C. magnetic biasing that the D.C. magnetic biasing signature waveform table 004 is used to store D.C. magnetic biasing event type is special Waveform is levied, from the D.C. magnetic biasing property data base for being stored in the big data analysis module (6);
Step 5: 005 primary fields of warning message table include automatically incremental alert event ID, device id, event Type, event hazard rating etc..The big data analysis module 6 of prior-warning device utilizes Euclidean distance algorithm, identifies that the direct current is inclined The similarity of one section of DC waveform in magnetic signature waveform table 004 and D.C. magnetic biasing Event Information Table 003, confirms D.C. magnetic biasing event Type, event type are divided into the bipolar off-center operation event of DC transmission system monopolar operation event, DC transmission system, the sun Earth's magnetic field anomalous event caused by magnetic storm, as seismic earth's magnetic field anomalous event, the ground potential wave as caused by rail traffic Dynamic event etc.;AC wave shape harmonic wave accounting variation in D.C. magnetic biasing Event Information Table 003 is analyzed, determines main transformer D.C. magnetic biasing event Hazard rating.Hazard rating is divided into especially great (I grades), great (II grades), larger (III level), general (IV from high to low Grade) four, analysis result is stored in 005 corresponding field of warning message table.
Step 6: 006 primary fields of facility information table include device id, transformer name and location information, alarm Measure;Prior-warning device extracts transformer name and location information according to warning message table 005 from the facility information table 006, Which kind of alarm measure is taken according to the determination of main transformer D.C. magnetic biasing hazard rating, automatically by the warning message of collection with short message, voice Or WEB pop-up mode notifies user, realizes the quick method for early warning to main transformer D.C. magnetic biasing event.
In the present invention, the sound alarm module 71, GSM text message alarm 72, web display module 73 warning message Select sound alarm module 71, GSM short according to the alarm measure that warning message table 005 provides from warning message table 005 Believe that one of alarm module 72, web display module 73 or a variety of type of alarms issue early warning.
In the present invention, the key of D.C. magnetic biasing event type identification is to identify two sections of equal lengths using Euclidean distance algorithm The similarity of waveform.Method particularly includes: DC current in a period of time of front and back occurs for interception monitoring point D.C. magnetic biasing event first Dynamic waveform, interception waveform length is N times of signature waveform length in D.C. magnetic biasing property data base, from the direct current of acquisition In flowable state waveform, successively take out in order with the isometric waveform of signature waveform, and be compressed into series of points, these points with it is straight The point that waveform is compressed into stream bias property data base seeks Euclidean distance respectively, when the shortest distance of calculating meets threshold requirement Then waveform is similar;If two or more monitoring point similarity is all met the requirements, the D.C. magnetic biasing event type of Corresponding matching; The current changing rate in each monitoring point D.C. magnetic biasing event front and back a period of time, current fluctuation frequency, electric current is further calculated to divide The parameters such as cloth rule improve this D.C. magnetic biasing event information.
When DC magnetic bias phenomena occurs in the process of running in main transformer, the exciting current of main transformer can occur serious abnormal Become, iron core magnetic flux will be in transition saturation state, can generate harmonic pollution, therefore harmonic wave variable quantity and main transformer direct current at this time Bias phenomenon is closely related, the harmonic current variable quantity that analysis transformer generates, can be with positioning system harmonic wave source, to transformer DC magnetic bias phenomena hazard rating is assessed, and provides decision-making foundation for power grid operation maintenance personnel.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to compared with Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the invention Art scheme is modified or replaced equivalently, and without departing from the objective and range of technical solution of the present invention, should all be covered at this In the scope of the claims of invention.

Claims (9)

1. a kind of device of for transformer D.C. magnetic biasing event early warning, which is characterized in that including prior-warning device, the early warning dress It sets including multiple GPS clock modules (1), multiple current dividers (2), multiple alternating current-direct current synchronous acquisition modules (3), multiple communication modules (4), a data monitoring module (5), a big data analysis module (6) and a warning module (7);
The current divider, each current divider are connected on main transformer neutral point earth-return circuit in each monitoring point Normal voltage output equipped with connecting terminal and being connected to corresponding alternating current-direct current synchronous acquisition module by connecting terminal (3), the alternating current-direct current synchronous acquisition module (3) is for acquiring the alternating current-direct current mixed signal that main transformer neutral point flows through;Each Alternating current-direct current synchronous acquisition module (3) is also electrically connected with a corresponding GPS clock module (1), for receiving synchronous second arteries and veins Punching and clock;Each alternating current-direct current synchronous acquisition module (3) is communicated by a communication module (4) and data monitoring module (5) Connection, the data monitoring module (5) are attached with big data analysis module (6) by a variety of table structures, the big data Analysis module (6) is attached with warning module (7) by a variety of table structures;
Wherein, each GPS clock module (1) receives satellite-signal and is modified to clock, makes all GPS clock module steps one It causes;
The integrated two-way acquisition channel of each alternating current-direct current synchronous acquisition module (3): acquisition channel is using product power frequency complete cycle all the way Point mode improves small mixed signal, filters out power frequency and higher hamonic wave, the direct current fluctuation in continuous acquisition electric current, simultaneously When detecting that direct current fluctuation is more than setting threshold value, from GPS clock module (1) read action moment value and report;Another way is adopted Collection channel improves small mixed signal using AC servo amplification mode, inhibits direct current signal, has to power frequency and humorous Signal wave current;
The data monitoring module (5) receives the current data of each alternating current-direct current synchronous acquisition, and by all data by the acquisition moment Sequence and data type classifications storage;
The big data analysis module (6) is stored with D.C. magnetic biasing property data base, with signature waveform be reference, using Euclidean away from Similarity from equal length waveform near algorithm identification D.C. magnetic biasing event generation time, in conjunction with current changing rate, current wave The parameters such as dynamic frequency, current distribution quickly identify D.C. magnetic biasing event type;Front and back harmonic wave variation rule occur for analysis event Rule, assesses transformer DC magnetic bias severity, obtains analysis result;
The warning module (7) receives the analysis result data of big data analysis module (6), and will analyze result respectively with short Letter, voice or WEB page bullet frame mode are sent, and provide D.C. magnetic biasing event type and extent of injury Warning Service for client.
2. a kind of device of for transformer D.C. magnetic biasing event early warning according to claim 1, which is characterized in that each Alternating current-direct current synchronous acquisition module (3) includes exchange Acquisition Circuit (31) and direct current Acquisition Circuit (32);The current divider (2) takes The mixed signal of sample is respectively connected to exchange Acquisition Circuit (31) and direct current Acquisition Circuit (32);The exchange Acquisition Circuit (31) and Direct current Acquisition Circuit (32) have independent acquisition controller, each acquisition controller connect with GPS clock module (1) and All started with GPS clock module pulse per second (PPS) rising edge and is acquired;On the exchange Acquisition Circuit (31) and direct current Acquisition Circuit (32) The acquisition controller being respectively equipped with passes through serial ports and connect with communication module (4).
3. a kind of device of for transformer D.C. magnetic biasing event early warning according to claim 1, which is characterized in that described The rated current of current divider (2) reaches kilo-ampere grade.
4. a kind of device of for transformer D.C. magnetic biasing event early warning according to claim 1, which is characterized in that described Data monitoring module (5) is an embedded computer, and the big data analysis module (6) is a high-performance server.
5. a kind of device of for transformer D.C. magnetic biasing event early warning according to claim 1 or 4, which is characterized in that It include device current tables of data (001) and device action information table (002) in the data monitoring module (5);The big number Interior according to analysis module (6) includes D.C. magnetic biasing Event Information Table (003), D.C. magnetic biasing signature waveform table (004), warning message Table (005) and facility information table (006);The device current tables of data (001), device action information table (002) respectively with The connection of D.C. magnetic biasing Event Information Table (003) table structure, the D.C. magnetic biasing Event Information Table (003) and warning message table (005) table structure connect, the warning message table (005) also with D.C. magnetic biasing signature waveform table (004) and facility information table (006) table structure connects, and the information of the warning message table (005) is output to alarm module (7).
6. a kind of device of for transformer D.C. magnetic biasing event early warning according to claim 1, which is characterized in that described Warning module (7) includes sound alarm module (71), GSM text message alarm (72), web display module (73), the sound Alarm module (71), GSM text message alarm (72), web display module (73) are connect with big data analysis module (6);
Wherein, the sound alarm module (71) is used to play D.C. magnetic biasing event information to system operation maintenance personnel with broadcast mode Voice;
The GSM text message alarm (72) is used to send D.C. magnetic biasing event text letter to system operation maintenance personnel with short message mode Breath;
The web display module (73) is used to send the page of D.C. magnetic biasing event information to the users for being equipped with system APP Face pop-up.
7. a kind of device of for transformer D.C. magnetic biasing event early warning according to claim 1, which is characterized in that described For the storage of D.C. magnetic biasing property data base there are many affair character data, D.C. magnetic biasing event type specifically includes that DC power transmission system Earth's magnetic field anomalous event caused by system monopolar operation event, the bipolar off-center operation event of DC transmission system, magnetic storm, The ground electric potential fluctuation event that earth's magnetic field anomalous event caused by shaking and rail traffic introduce.
8. a kind of method of for transformer D.C. magnetic biasing event early warning, which is characterized in that described in any one of claim 1-3 Prior-warning device is integrated with six tables, is device current tables of data (001), device action information table (002), D.C. magnetic biasing thing respectively Part information table (003), D.C. magnetic biasing signature waveform table (004), warning message table (005) and facility information table (006), each table it Between carry out information transmitting in the steps below, realize the early warning of transformer DC magnetic bias event type and event hazard rating:
Step 1: device current tables of data (001) primary fields include automatically incremental result ID, device id, direct current Flow size and direction, AC wave shape, data acquisition moment;The device current tables of data (001) is for storing each monitoring point Pass to the direct current of data monitoring module (5) with exchange real-time waveform data;
Step 2: device action information table (002) primary fields include automatically incremental result ID, device id, direct current wave Dynamic moment, fluctuation starting or end mark;When DC current absolute value rises to initiation threshold or more when monitoring point, direct current is generated Initial time and beginning flag are fluctuated, when DC current absolute value drops into end threshold value or less when monitoring point, generates direct current wave Dynamic finish time and end mark;
Step 3: D.C. magnetic biasing Event Information Table (003) primary fields include automatically incremental event id, D.C. magnetic biasing thing Part moment, movement device id collection, event DC waveform data set, event AC wave shape data set;The data monitoring module (5) Real-time retrieval device action information table (002), when appearance two and more than two monitoring point direct current fluctuation Time of day offsets satisfactions are silent Recognize value, then event id is incremented by automatically in the D.C. magnetic biasing Event Information Table (003), and by two of movement and two or more monitors The device id deposit movement device id of point is concentrated, while using the equipment direct current of trigger event fluctuation moment value as D.C. magnetic biasing thing The part moment;Based on movement device id collection, according to the relevant interval of time of D.C. magnetic biasing event time to the device current Tables of data (001) retrieval, obtains event DC waveform data set and event AC wave shape data set, and above-mentioned data set is all dynamic Make the set of equipment AC wave shape or DC waveform data;
Step 4: the D.C. magnetic biasing signature waveform table (004) is used to store the D.C. magnetic biasing feature of D.C. magnetic biasing event type Waveform, from the D.C. magnetic biasing property data base for being stored in the big data analysis module (6);
Step 5: warning message table (005) primary fields include automatically incremental alert event ID, device id, event class Type, event hazard rating;The big data analysis module (6) of prior-warning device utilizes Euclidean distance algorithm, identifies the D.C. magnetic biasing The similarity of one section of DC waveform in signature waveform table (004) and D.C. magnetic biasing Event Information Table (003), confirms D.C. magnetic biasing thing Part type;AC wave shape harmonic wave accounting in D.C. magnetic biasing Event Information Table (003) is analyzed simultaneously to change, and determines main transformer D.C. magnetic biasing Event hazard rating, hazard rating are divided into especially great (I grades), great (II grades), larger (III level), general from high to low (IV grades) four, analysis result are stored in warning message table (005) corresponding field;
Step 6: facility information table (006) primary fields include that device id, transformer name and location information, alarm are arranged It applies;The prior-warning device is according to warning message table (005), from extraction transformer name and position in the facility information table (006) Which kind of alarm measure confidence breath takes according to the determination of main transformer D.C. magnetic biasing hazard rating, automatically by the warning message of collection with short Letter, voice or WEB pop-up mode notify user, realize the quick method for early warning to main transformer D.C. magnetic biasing event.
9. a kind of method of for transformer D.C. magnetic biasing event early warning according to claim 8, it is characterised in that: described D.C. magnetic biasing event type include DC transmission system monopolar operation event, the bipolar off-center operation event of DC transmission system, Earth's magnetic field anomalous event caused by magnetic storm and as seismic earth's magnetic field anomalous event and as caused by rail traffic Ground electric potential fluctuation event.
CN201910686510.1A 2019-07-29 2019-07-29 A kind of device and method of for transformer D.C. magnetic biasing event early warning CN110389250A (en)

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