CN102928676A - Continuous multi-winding combined transformer coil and loss soft-measurement method thereof - Google Patents
Continuous multi-winding combined transformer coil and loss soft-measurement method thereof Download PDFInfo
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- CN102928676A CN102928676A CN2012104706452A CN201210470645A CN102928676A CN 102928676 A CN102928676 A CN 102928676A CN 2012104706452 A CN2012104706452 A CN 2012104706452A CN 201210470645 A CN201210470645 A CN 201210470645A CN 102928676 A CN102928676 A CN 102928676A
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Abstract
The invention discloses a continuous multi-winding combined transformer coil and a loss soft-measurement method thereof and belongs to the technical field of transformer design and manufacture. The transformer coil is compact in structure, high in strength and stability and strong in short-circuit current impact resistance, is an integrated continuous multi-winding combined transformer coil with the advantages of compact structure, convenience for installation and reliable quality, can realize output of a plurality of voltages and currents, and overcomes the shortcomings of a sectional winding coil, such as large loss, big size and high manufacturing cost. An artificial neural network inversion soft-measurement method is used together with the transformer coil, and can quickly, real-timely and accurately measure the loss of a transformer on line. The continuous multi-winding combined transformer coil can replace a traditional integral transformer coil, is particularly suitable for a built-in transformer of power equipment, can be maintained and replaced locally, effectively controls noise, lowers eddy loss, improves the efficiency, meets the energy-saving requirement and creates long-term economic benefits.
Description
Technical field
The invention discloses the flexible measurement method of a kind of continuous many windings combined transformer coil and loss thereof, belong to design of transformer manufacturing technology field.
Background technology
Transformer be used for voltage of transformation, transmit electric energy, be requisite important device in the electric system, in electric system, transformer application is very extensive, its safe operation plays very important effect for stable, the normal power supply of whole electric system.Silicon steel sheet adds winding, is the main part of transformer.The iron core of transformer is not common iron, generally all is the high magnetic conduction cold-reduced silicon sheet of grain orientation (the better non-crystaline amorphous metal of use is also arranged now), and the loss (magnetic hysteresis loss and eddy current loss) of itself is very little during its work.The working current of the coil carrying transformer of transformer, primary side absorbs electric energy from electrical network, secondary side loading transmission of electric energy, so must use the conductive materials such as the little copper of resistivity and aluminium, its loss is just little like this.
Traditional Transformer Winding much adopts the method for segmentation coiling, and the purpose of segmentation mainly is in order to reach the purpose of sandwich winding, clip between namely elementary clip between secondary or secondary elementary.A lot of transformer efficiency are less than normal, and load is heavy, and voltage is higher, and winding insulation is bad, and the transformer heat radiation is bad, and temperature rise affects the runnability of transformer, and serious meeting affects the safe operation of electric system.
The electric system capacity is increasing now, and the capacity of transformer station also increases thereupon, therefore needs two or many parallel runnings, increases the power transformation capacity.When load along with round the clock or Seasonal occurrence when changing, adopt parallel running to economize on electricity, load hour makes a part of transformer out of service, remaining all approaching is fully loaded, can improve running efficiency of system like this, saves energy improves the economy of powering.For ease of the maintenance transformer, also need parallel running, can overhaul by platform is out of service, improve power supply reliability, if any spare transformer, its capacity is also less, reduces for the first time investment.
Reduce the loss of transformer, at first will have accurately transformer loss and measure, detection method such as power method are along with the variable effect of transformer running environment is larger routinely for present some, and measured value is not very accurate.Also there is not at present a kind of effective online test method both at home and abroad.
Summary of the invention
In view of the foregoing, the present invention has introduced a kind of continuous many windings combined transformer coil, the shortcoming that the loss that can overcome the sectional type winding coil is large, volume is large, manufacturing cost is high; Supporting the use a kind of flexible measurement method can be fast, in real time, accurately on-line measurement is carried out in the loss of transformer.
The present invention proposes the flexible measurement method of a kind of continuous many windings combined transformer coil and loss thereof, and its content comprises:
1. continuous many windings combined transformer coil is such as Fig. 1.Described coil is applicable to the strong current transformer that turn ratio is more, wire group number is many, comprise single branch continuous winding, a plurality of single branches map is by electrical connection, can parallel running in commutating circuit, also can series operation, arrange wiring by connection in series-parallel, can reduce the generation of transformer internal vortex simultaneously.
2. adopt flexible measurement method to realize the on-line measurement of transformer loss.
The nerve network reverse flexible measurement method of transformer operational process variable of the present invention is selected to determine input quantity, the output quantity that directly can survey online that the transformer operational process directly can be surveyed online and need directly can not measuring of off-line analysis according to the model of transformer operational process; And then the primary input amount that includes sensor, auxiliary input quantity and the output quantity of the definite transformer operational process of selection, and set up the model that includes sensor; Then adopt artificial neural network, and by contrary to the training constructing neural network of artificial neural network, realize that this includes sensor inverse; At last nerve network reverse is serially connected in after the transformer operational process, realizes the online soft sensor to transformer loss.The concrete nerve network reverse measuring method of the present invention is:
At first according to the model of transformer operational process:
Here the state dimension 4, input dimension 2, that is: x=(x
1, x
2, x
3, x
4)
T, u=(u
1, u
2)
T, wherein, the online input voltage u that directly can survey of transformer operational process is arranged
1, output voltage u
2, the output quantity that directly can survey online is the input current x of transformer
3, output current x
4, what need off-line analysis directly can not be measured as hot-spot temperature of transformer x
1, transformer loss x
2 Be hot-spot temperature of transformer derivative,
Be the transformer transformer loss derivative,
Be the input current of transformer derivative,
It is the derivative of output current.Each weight coefficient of artificial neural network of the present invention is processed, is determined with data training of human artificial neural networks by on-site data gathering, off-line data.
The invention has the beneficial effects as follows: transformer coil structure is compact, saves the space, weight reduction; Number of turn multiple current is large; The deficiency of having avoided the coil grading coiling to bring; The coil strength and stability is high, and Short Circuit withstand rush of current ability is strong, is integrated continuous many windings combined transformer coil of a kind of compact conformation, easy for installation, reliable in quality, can realize the output of a plurality of voltages and electric current.The present invention replaces traditional monoblock type transformer coil, simple in structure flexible, the convenient application, be specially adapted to the built-in transformer of power equipment, make the maintain and replace of the coil noise that only control effectively in the part, reduce eddy current loss, raise the efficiency, reach energy-conservation requirement, create the long-term economic benefit.
Description of drawings
Fig. 1 is described continuous many windings combined transformer coil connection layout.
The soft measurement structural drawing that Fig. 2 is comprised of capacitor operational process 1 and nerve network reverse 3.
Among Fig. 1, (1) single continuous winding, (2) head end, (3) end, (4) head end, (5) end.
Among Fig. 2, transformer operational process 1 is arranged, nerve network reverse 3 and be included in and include sensor 2 in the transformer operational process.The primary input amount that includes sensor 2 be need off-line analysis directly can not be measured as hot-spot temperature of transformer x
1, transformer loss x
2, auxiliary input quantity is the input voltage u of the online capacitor that directly can survey
1, output voltage u
2, output quantity is the input current x of the online transformer that directly can survey
3, output current x
4, the output of nerve network reverse 3 is hot-spot temperature of transformers
Transformer loss
Embodiment
A kind of continuous many windings combined transformer coil of the present invention, be applicable to the strong current transformer that turn ratio is more, wire group number is many, comprise single branch continuous winding, a plurality of single branches map is by electrical connection, can parallel running in commutating circuit, also can series operation, arrange wiring by connection in series-parallel, can reduce the generation of transformer internal vortex simultaneously.
The nerve network reverse flexible measurement method of transformer loss parameter of the present invention and the specific embodiments of on-line measurement system are:
(1). specifically determine input quantity, the output quantity that directly can survey online that transformer operational process 1 directly can be surveyed online and need directly can not measuring of off-line analysis.Model according to the capacitor operational process:
Here the state dimension 4, input dimension 2, that is: x=(x
1, x
2, x
3, x
4)
T, u=(u
1, u
2)
T, wherein, the online input voltage u that directly can survey of transformer operational process is arranged
1, output voltage u
2, the output quantity that directly can survey online is the input current x of transformer
3, output current x
4, what need off-line analysis directly can not be measured as hot-spot temperature of transformer x
1, transformer loss x
2 Be hot-spot temperature of transformer derivative,
Be transformer loss derivative,
Be the input current of transformer derivative,
It is the derivative of output current.Each weight coefficient of artificial neural network of the present invention is processed, is determined with data training of human artificial neural networks by on-site data gathering, off-line data.
(2). select the input quantity that includes sensor 2 and output quantity in definite capacitor operational process 1.Wherein, primary input amount is hot-spot temperature of transformer x
1, transformer loss x
2, auxiliary input quantity is the online input voltage u that directly can survey of transformer operational process
1, output voltage u
2, output quantity is the input current x of transformer
3, output current x
4, and set up the model that includes sensor 2.
(3). select to determine input quantity and the output quantity of nerve network reverse 3.Wherein, primary input amount is the input current x of transformer
3, output current x
4, auxiliary input quantity is the online input voltage u that directly can survey of transformer operational process
1, output voltage u
2, output quantity is hot-spot temperature of transformer
Transformer loss
Nerve network reverse 3 is serially connected in after the capacitor operational process 1, realizes hot-spot temperature of transformer x
1, transformer loss x
2Soft measurement (as shown in Figure 2).
Claims (5)
1. the flexible measurement method of continuous many windings combined transformer coil and loss thereof, it is characterized in that, described technical scheme comprises following content: (1) a kind of many windings of new type of continuous combined transformer coil, compact conformation, the shortcoming that the loss that can overcome the sectional type winding coil is large, volume is large, manufacturing cost is high can realize the output of a plurality of voltages and electric current; (2) adopt soft-measuring technique to realize the on-line monitoring of transformer loss.
2. described according to claim 1, it is characterized in that: coil is saved the space, weight reduction, and the number of turn is many, and electric current is large, and the coil strength and stability is high, and Short Circuit withstand rush of current ability is strong.
3. described according to claim 1, it is characterized in that: coil can parallel running, also can series operation, arrange wiring by connection in series-parallel, and can reduce the generation of transformer internal vortex simultaneously.
4. described according to claim 1, it is characterized in that: the nerve network reverse flexible measurement method is adopted in the measurement of described transformer loss.
5. described according to claim 4, it is characterized in that: each weight coefficient of artificial neural network is processed, is determined with data training of human artificial neural networks by on-site data gathering, off-line data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012104706452A CN102928676A (en) | 2012-11-19 | 2012-11-19 | Continuous multi-winding combined transformer coil and loss soft-measurement method thereof |
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|---|---|---|---|
| CN2012104706452A CN102928676A (en) | 2012-11-19 | 2012-11-19 | Continuous multi-winding combined transformer coil and loss soft-measurement method thereof |
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|---|---|
| CN102928676A true CN102928676A (en) | 2013-02-13 |
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| CN2012104706452A Pending CN102928676A (en) | 2012-11-19 | 2012-11-19 | Continuous multi-winding combined transformer coil and loss soft-measurement method thereof |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201178018Y (en) * | 2008-02-21 | 2009-01-07 | 株洲南车电机股份有限公司 | Integrated transformer coil of multiple windings |
| CN102331528A (en) * | 2011-07-12 | 2012-01-25 | 江苏镇安电力设备有限公司 | Neural network inverse-based soft sensing method for compensation capacity and medium loss of capacitor and on-line monitoring |
-
2012
- 2012-11-19 CN CN2012104706452A patent/CN102928676A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201178018Y (en) * | 2008-02-21 | 2009-01-07 | 株洲南车电机股份有限公司 | Integrated transformer coil of multiple windings |
| CN102331528A (en) * | 2011-07-12 | 2012-01-25 | 江苏镇安电力设备有限公司 | Neural network inverse-based soft sensing method for compensation capacity and medium loss of capacitor and on-line monitoring |
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Application publication date: 20130213 |