CN105651460B - A kind of network distribution transformer fuel tank sealing index forecasting method and device - Google Patents
A kind of network distribution transformer fuel tank sealing index forecasting method and device Download PDFInfo
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- 239000002828 fuel tank Substances 0.000 title claims abstract description 40
- 238000007789 sealing Methods 0.000 title claims abstract description 30
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Abstract
The invention discloses a kind of power distribution network automatics, particularly a kind of network distribution transformer fuel tank sealing index forecasting method and device.A kind of network distribution transformer fuel tank seals exponential forecasting device, and its structure is as follows：Signal acquisition module on network distribution transformer, the output end of signal acquisition module is connected to the input connection of A/D converter after signaling conversion circuit respectively, the output end of A/D converter and the input of cpu central processing unit connect, the serial ports of cpu central processing unit is connected with 4G communications module and human-machine interactive information display module, and the ATN1 ends of 4G communications modules are communicated by antenna and remote dispatching center.The present invention can accurately seal index to network distribution transformer fuel tank and make prediction, power network major accident can be prevented, improve power quality, improve electricity consumption reliability, predict that process meets requirement of real-time simultaneously, the efficiency of data acquisition and processing is improved, improves the speed and precision of network distribution transformer fuel tank sealing exponential forecasting.
Description
Technical field
The present invention relates to a kind of power distribution network automatics, particularly a kind of network distribution transformer fuel tank sealing index forecasting method
And device, belong to technical field of power systems.
Background technology
Distribution transformer high pressure is one of main and most important equipment of power distribution network, and transformer in the process of running can be by
Electric current is flowed through in winding and is generated heat, be by the transformer oil in fuel tank to transformation to ensure that winding temperature rise is no more than limit value
Device is cooled down.If oil tank of transformer tightness reduces, transformer oil will be caused to leak, and the leakage of transformer oil causes oil
Amount is reduced and circulation of the oil in fuel tank is deteriorated, and it is out of hand that this will further result in Transformer Winding temperature again, ultimately results in
Transformer fault.Transformer, which breaks down, to cause large area blackout, has a strong impact on Reliability of Power Supplying Net Work and power network peace
Row for the national games.Therefore, network distribution transformer fuel tank sealing index is accurately grasped, department is most important to Regulation.Pass at present
System method is mainly calculated or the methods of inspect periodically, change using Conventional wisdom formula, existing subject matter be can not and
Shi Faxian failures, judged result error are larger etc..
The content of the invention
It is an object of the present invention to provide a kind of network distribution transformer fuel tank to seal index forecasting method, and it is adapted to engineering by establishing
The network distribution transformer fuel tank sealing Index Prediction Model of practical application, index is sealed to efficiently solve to network distribution transformer fuel tank
Accurate prediction, reach constantly find failure purpose.
It is a further object to provide a kind of network distribution transformer fuel tank to seal exponential forecasting device, and its input quantity carries
Take simply, prediction process meets that requirement of real-time, prediction accuracy are high, the response time is short.
In order to achieve the above object, the present invention is achieved through the following technical solutions：
A kind of network distribution transformer fuel tank seals index forecasting method, and its step is as follows：
Step 1: establish the state vector of network distribution transformer fuel tank sealing index Evolution System：Surveyed in Fixed Time Interval
Quantitative change depressor oil pressure, transformer oil temperature, transformer current, transformer voltage, air humidity, in a series of moment t1,
t2,...,tn(n is natural number, n=1,2 ...) obtains transformer oil pressure, transformer oil temperature, transformer current, transformer
A series of state vectors that voltage, air humidity are formed：
Step 2: calculate initial weight vector：Given t1MomentCorresponding connection weight
Value vectorAs initial weight vector；
Step 3: amendment weight vector：After the state vector input at any one moment, weight vector adjustment amount is：
Its d is the desired value of fuse load factor predicted value, and η is accelerator coefficient；
Make oil tank of transformer sealing index actual prediction value be
Define calculation errorFor desired value and the difference of actual prediction value, have：
Then weighed value adjusting equation is：
Step 4: calculate weight vector end value W0：Define error rateFor：If
WithSymbol on the contrary, explanation in the calculation,Absolute value be monotonic decreasing, nowAlways constantly close to d；If
tnShi Keyou：WithSymbol it is opposite andIt is less than set-point, then now correspondingAs weight vector end value W0；
Step 5: calculate network distribution transformer fuel tank sealing exponential forecasting value：For any instant tn+1, according to W0, have：
As network distribution transformer fuel tank sealing exponential forecasting value.
A kind of network distribution transformer fuel tank seals exponential forecasting device, and its structure is as follows：Letter on network distribution transformer
Number acquisition module, the output end of signal acquisition module are connected to the input of A/D converter after signaling conversion circuit respectively
Connection, A/D converter use TLC2543 serial a/d converters, the output end of A/D converter and the input of cpu central processing unit
End connection, cpu central processing unit use model STM32F103RBT6 single-chip microcomputer, and serial ports and the 4G of cpu central processing unit lead to
Letter transport module is connected with human-machine interactive information display module, and 4G communications module is carried out by antenna and remote dispatching center
Communication.
4G communications module uses the LTE module of ME3760 models, and human-machine interactive information display module uses
The LCD MODULE of HG1286402C models.
The output end of above-mentioned signal acquisition module is connected to A/D converter after signaling conversion circuit respectively
TLC2543 input AIN0, AIN1, AIN2, AIN 3, AIN4, A/D converter TLC2543 output end EOC, I/O, IN,
OUT, CS are connected respectively to PC0, PC1, PC3, PC4, PC5 pin of single-chip microcomputer STM32F103RBT6 chips, single-chip microcomputer
PA1, PA2, PA 3, PA 4, PA 5, PA 6, PA 7, PC7 and the human-machine interactive information display module of STM32F103RBT6 chips
D0, D1, D2, D3, D4, D5, D6, D7 connection, PC8, PC9, PC10, PC11, PC12 of single-chip microcomputer STM32F103RBT6 chips
It is connected with RS, R/W, CS1, CS2, EN of human-machine interactive information display module, single-chip microcomputer STM32F103RBT6 chips
PB10, PB11 pin are connected with 4G communications modules ME3760 DATA, DATA1 end, the ATN1 ends of 4G communications modules
Communicated by antenna and remote dispatching center.
Above-mentioned signal acquisition module is by pressure sensor, current transformer, voltage transformer, humidity sensor and temperature
Sensor is spent to form.
Above-mentioned pressure sensor is using PTG501 models oil pressure sensor, current transformer using DHC03B models, electricity
Transformer is pressed to be used using DH51D6V0.4B models, humidity sensor using STYB3100111A50 models, temperature sensor
HE-200 model infrared temperature sensors.
The present invention has beneficial effect prominent as follows compared with prior art：
A kind of network distribution transformer fuel tank sealing exponential forecasting device of the present invention, proposition utilize signal acquisition module direct measurement
The oil pressure of transformer, transformer oil temperature, transformer current, transformer voltage, air humidity are input quantity, and finally utilized
A/D converter, cpu central processing unit, human-machine interactive information display module and 4G communications modules realize network distribution transformer oil
Case seals exponential forecasting.Error caused by when this structure avoids the conventional method from establishing model and Selecting All Parameters, and with defeated
Enter the characteristics of amount extraction is simple, and accuracy is high, and the degree of accuracy is good, and forecasting efficiency is high, provided for the safe operation of network distribution transformer
It is effective to ensure.
The present invention can accurately seal index to network distribution transformer fuel tank and make prediction, and can prevent power network major accident,
Improve power quality, improve electricity consumption reliability, while predict that process meets requirement of real-time, improve the effect of data acquisition and processing
Rate, the speed and precision of network distribution transformer fuel tank sealing exponential forecasting are improved, is realized with degree of precision and compared with short response time
Advantage to network distribution transformer fuel tank sealing index be predicted.
Brief description of the drawings
Fig. 1 is network distribution transformer fuel tank sealing exponential forecasting flow chart.
Fig. 2 is the structural schematic block diagram of the present invention.
Fig. 3 is the circuit connection diagram of the present invention.
Fig. 4 is the prediction result figure of the present invention.
In figure, 1, signal acquisition module, 2, A/D converter, 3, cpu central processing unit, 4, human-machine interactive information show mould
Block, 5,4G communications modules.
Embodiment：
The present invention is described in further detail with reference to embodiment.Following examples are only the several specific of the present invention
Embodiment, but the design concept of the present invention is not limited thereto, all changes for carrying out unsubstantiality to the present invention using this design,
All should be within the scope of the present invention.
As shown in figure 1, a kind of network distribution transformer fuel tank sealing index forecasting method of the present invention, its step are as follows：
Step 1: establish the state vector of network distribution transformer fuel tank sealing index Evolution System：
In the present embodiment, measuring transformer oil pressure, transformer oil temperature, transformer within 20 equally spaced periods
Electric current, transformer voltage, air humidity, then obtain one 5 dimension time series of measurement data composition：
Step 2: calculate initial weight vector：
Given t1MomentCorresponding connection weight vectorFor initial weight vector；
Step 3: amendment weight vector：
Given transformer mailbox sealing index desired value d=0.6898, byCalculateHave：
Accelerator coefficient η=1.675 are made, then modified weight amount is：
Step 4: calculate weight vector end value W0：
Calculate tnThe error rate at moment
If tnShi Keyou：WithSymbol it is opposite andThen nowAs network distribution transformer oil
Case seals exponential forecasting value；
Step 5: calculate network distribution transformer fuel tank sealing exponential forecasting value：
For any instant tn+1, according to W0, have：
As network distribution transformer fuel tank sealing exponential forecasting value.
The fractional prediction result of forecast model is compared with measured value as shown in figure 4, the error prediction model established is basic
Upper control is within ± 10%.
As shown in Fig. 2 a kind of network distribution transformer fuel tank sealing exponential forecasting device of the present invention, including signal acquisition module 1,
A/D converter 2, cpu central processing unit 3, human-machine interactive information display module 4 and 4G communications module 5；Signal acquisition module
It is to be made up of pressure sensor, current transformer, voltage transformer, humidity sensor and temperature sensor.Its structure is：Installation
Signal acquisition module 1 on network distribution transformer, the output end of signal acquisition module 1 connect after signaling conversion circuit respectively
Input to A/D converter 2 is connected, and the output end of A/D converter 2 is connected with the input of cpu central processing unit 3, in CPU
The serial ports of central processor 3 is connected with 4G communications module 5 and human-machine interactive information display module 4,4G communications module 5
Output end and long-range upper machine communication.Pressure sensor is used using PTG501 models oil pressure sensor, current transformer
DHC03B models, voltage transformer are using DH51D6V0.4B models, humidity sensor using STYB3100111A50 models, temperature
Degree sensor uses HE-200 model infrared temperature sensors；A/D converter 2 uses TLC2543 serial a/d converters；In CPU
Central processor 3 uses model STM32F103RBT6 single-chip microcomputer；4G communications module 5 uses the LTE moulds of ME3760 models
Block；Human-machine interactive information display module 4 uses the LCD MODULE of HG1286402C models.
Pressure sensor, current transformer, voltage transformer, humidity sensor, the temperature sensor of signal acquisition module 1
Output end be connected to respectively after signaling conversion circuit A/D converter 2 TLC2543 input AIN0, AIN1,
AIN2、AIN 3、AIN4；As shown in figure 3, A/D converter 2TLC2543 output end EOC, I/O, IN, OUT, CS are connected respectively
To PC0, PC1, PC3, PC4, PC5 pin of single-chip microcomputer STM32F103RBT6 chips, single-chip microcomputer STM32F103RBT6 chips
PA1, PA2, PA 3, PA 4, PA 5, PA 6, PA 7, D0, D1 of PC7 and HG1286402C LCD MODULEs, D2, D3, D4,
D5, D6, D7 are connected, PC8, PC9, PC10, PC11, PC12 and HG1286402C liquid crystal of single-chip microcomputer STM32F103RBT6 chips
RS, R/W, CS1, CS2, EN of display module are connected, and PB10, PB11 pins of STM32F103RBT6 chips communicates mould with 4G
Block ME3760 DATA, DATA1 end is connected, and the ATN1 ends of 4G communications modules are led to by antenna and remote dispatching center
News.
The operation principle of the present invention is as follows：Transformer oil pressure, transformer oil temperature, transformer current, transformer voltage,
Air humidity signal passes through each sensor, synchronizes sampling, holding, A/D conversions, after being changed into data signal, is sent into ARM monolithics
The data input port of machine, then by single-chip microcomputer to network distribution transformer fuel tank sealing exponent data calculate after, result of calculation passes through
LCD MODULE is shown and data is sent into 4G communications modules, is to be ready with remote dispatching communication.A/D turns
Parallel operation is used to the analog signal of signal gathering unit collection being converted into data signal；The device uses switching capacity Approach by inchmeal
Technology completes A/D transfer processes；Human-machine interactive information display unit is used to show that network distribution transformer fuel tank seals exponential forecasting knot
Fruit；4G communications module is transferred to control centre for transmitting network distribution transformer fuel tank sealing exponential forecasting result.
The particular of the present invention is come to the present invention have been described in detail for those skilled in the art
Say, the various of its progress are obviously changed all the present invention's without departing from the spirit and scope of the present invention
Within protection domain.
Claims (5)
1. a kind of network distribution transformer fuel tank seals index forecasting method, it is characterised in that step is as follows：
Step 1: establish the state vector of network distribution transformer fuel tank sealing index Evolution System：Measure and become in Fixed Time Interval
Depressor oil pressure, transformer oil temperature, transformer current, transformer voltage, air humidity, in a series of moment t1,t2,...,
tn(n is natural number, n=1,2 ...) obtains transformer oil pressure, transformer oil temperature, transformer current, transformer voltage, sky
A series of state vectors that air humidity degree is formed：
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Step 2: calculate initial weight vector：Given t1MomentCorresponding connection weight to
AmountAs initial weight vector；
Step 3: amendment weight vector：After the state vector input at any one moment, weight vector adjustment amount is：
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Its d is the desired value of fuse load factor predicted value, and η is accelerator coefficient；
The actual prediction value for making fuse load factor is
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Define calculation errorFor desired value and the difference of actual prediction value, have：
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Have：WithSymbol it is opposite andIt is less than set-point, then now correspondingAs weight vector end value W0；
Step 5: calculate network distribution transformer fuel tank sealing exponential forecasting value：For any instant tn+1, according to W0, have：
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As network distribution transformer fuel tank sealing exponential forecasting value.
A kind of 2. device of the network distribution transformer fuel tank sealing index forecasting method described in claim 1, it is characterised in that structure
It is as follows：Signal acquisition module on network distribution transformer, the output end of signal acquisition module is respectively by signal conversion electricity
The input connection of A/D converter is connected to behind road, A/D converter uses TLC2543 serial a/d converters, A/D converter
The input of output end and cpu central processing unit connects, and cpu central processing unit uses model STM32F103RBT6 monolithic
Machine, the serial ports of cpu central processing unit are connected with 4G communications module and human-machine interactive information display module, 4G communications moulds
The output end of block and long-range upper machine communication, 4G communications module use the LTE module of ME3760 models, human-machine interactive information
Display module uses the LCD MODULE of HG1286402C models.
A kind of 3. device of network distribution transformer fuel tank sealing index forecasting method according to claim 2, it is characterised in that
The output end of described signal acquisition module is connected to A/D converter TLC2543 input after signaling conversion circuit respectively
End AIN0, AIN1, AIN2, AIN 3, AIN4, A/D converter TLC2543 output end EOC, I/O, IN, OUT, CS are connected respectively
To PC0, PC1, PC3, PC4, PC5 pin of single-chip microcomputer STM32F103RBT6 chips, single-chip microcomputer STM32F103RBT6 chips
PA1, PA2, PA 3, PA 4, PA 5, PA 6, PA 7, D0, D1 of PC7 and human-machine interactive information display module, D2, D3, D4,
D5, D6, D7 are connected, and PC8, PC9, PC10, PC11, PC12 and human-machine interactive information of single-chip microcomputer STM32F103RBT6 chips show
Show that RS, R/W, CS1, CS2, EN of module are connected, PB10, PB11 pin and 4G of single-chip microcomputer STM32F103RBT6 chips lead to
Letter transport module ME3760 DATA, DATA1 end is connected, and the ATN1 ends of 4G communications modules pass through in antenna and remote dispatching
The heart is communicated.
A kind of 4. device of network distribution transformer fuel tank sealing index forecasting method according to claim 2, it is characterised in that
Described signal acquisition module is by pressure sensor, current transformer, voltage transformer, humidity sensor and temperature sensor
Form.
A kind of 5. device of network distribution transformer fuel tank sealing index forecasting method according to claim 4, it is characterised in that
Described pressure sensor is using PTG501 models oil pressure sensor, current transformer using DHC03B models, voltage transformer
HE-200 models are used using STYB3100111A50 models, temperature sensor using DH51D6V0.4B models, humidity sensor
Infrared temperature sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410686932.6A CN105651460B (en) | 2014-11-25 | 2014-11-25 | A kind of network distribution transformer fuel tank sealing index forecasting method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410686932.6A CN105651460B (en) | 2014-11-25 | 2014-11-25 | A kind of network distribution transformer fuel tank sealing index forecasting method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105651460A CN105651460A (en) | 2016-06-08 |
| CN105651460B true CN105651460B (en) | 2018-01-02 |
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| CN201410686932.6A Active CN105651460B (en) | 2014-11-25 | 2014-11-25 | A kind of network distribution transformer fuel tank sealing index forecasting method and device |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009005454A (en) * | 2007-06-20 | 2009-01-08 | Kyushu Keiso Engineering Kk | Power monitor system |
| CN103227026A (en) * | 2013-04-22 | 2013-07-31 | 江苏宏安变压器有限公司 | Polygonal oil tank for transformer and online oil leakage monitoring method thereof |
| CN103778575A (en) * | 2014-03-04 | 2014-05-07 | 国网浙江宁波市鄞州区供电公司 | Transformer state evaluation method and system |
| CN204188339U (en) * | 2014-11-25 | 2015-03-04 | 国网辽宁省电力有限公司丹东供电公司 | A kind of network distribution transformer fuel tank sealing exponential forecasting device |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009005454A (en) * | 2007-06-20 | 2009-01-08 | Kyushu Keiso Engineering Kk | Power monitor system |
| CN103227026A (en) * | 2013-04-22 | 2013-07-31 | 江苏宏安变压器有限公司 | Polygonal oil tank for transformer and online oil leakage monitoring method thereof |
| CN103778575A (en) * | 2014-03-04 | 2014-05-07 | 国网浙江宁波市鄞州区供电公司 | Transformer state evaluation method and system |
| CN204188339U (en) * | 2014-11-25 | 2015-03-04 | 国网辽宁省电力有限公司丹东供电公司 | A kind of network distribution transformer fuel tank sealing exponential forecasting device |
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