CN106645998A - Parameter recognition method and system - Google Patents
Parameter recognition method and system Download PDFInfo
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- CN106645998A CN106645998A CN201611162819.3A CN201611162819A CN106645998A CN 106645998 A CN106645998 A CN 106645998A CN 201611162819 A CN201611162819 A CN 201611162819A CN 106645998 A CN106645998 A CN 106645998A
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- transformer
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- parameter
- leakage inductance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/20—Measuring number of turns; Measuring transformation ratio or coupling factor of windings
Abstract
The invention discloses a parameter recognition method and device. The method comprises the steps: collecting input quantities of two sides of a transformer; and calculating the leakage inductance values of windings of two sides of the transformer according to the input quantities through a square root filtering method. The method solves a technical problem of instability, generated during the recognition of the parameters of the transformer in the prior art.
Description
Technical field
The present invention relates to electrical technology application, in particular to a kind of method and apparatus of parameter identification.
Background technology
For a long time, differential protection is always the main protection scheme of power transformer interior fault, now past and relevant transformation
Excitation surge current is produced when the research of device differential protection is mainly concentrated in preventing no-load transformer from closing a floodgate causes differential protection to miss
In dynamic problem, it has been suggested that various measures for preventing excitation surge current from causing differential protection malfunction.The microcomputer for now putting into operation becomes
Depressor differential protection is mostly to recognize excitation surge current using second harmonic criterion.But, due to reactive-load compensation and
The presence of connection electric capacity or super-pressure long feeder distribution capacity so that transformer occurs also produce very big two during internal fault
Subharmonic.And with the decline of large-sized transformer core saturation flux so that the secondary harmonic component of excitation surge current is sometimes low
To less than 10%, this numerical value is less than normal peek value 15%-17% of secondary harmonic brake ratio, so as to cause transformer differential to be protected
Shield malfunction.Therefore, it is necessary to seek differential protection malfunction when new brake measure prevents transformer from shoving.
At present, existing foundation transformer its structure and some parameters in normal operation, excitation surge current and external fault
It is constant, and the principle that can change during internal fault, the guard method recognized based on transformer parameter of proposition, the method minimum
Square law carries out transformer parameter identification, without the need for differentiating excitation surge current.The method can effectively distinguish internal fault and excitation surge current,
External fault and normal operating condition.
In view of being carried out with least square method, parameter Estimation when transformer parameter is recognized is easily unstable, and recursive process will be sent out
Dissipate, cannot get accurate identification result.
For above-mentioned due to carrying out the unstable problem that produces when transformer parameter is recognized in prior art, at present still
Effective solution is not proposed.
The content of the invention
Embodiments provide a kind of method and apparatus of parameter identification, with least solve due in prior art
Carry out the unstable technical problem produced when transformer parameter is recognized.
A kind of one side according to embodiments of the present invention, there is provided method of parameter identification, including：Collection transformer two
The input quantity of side；The leakage inductance value of the winding for passing through square root filtering method calculating transformer both sides according to input quantity.
Optionally, input quantity includes：Magnitude of voltage and current value.
Optionally, included by the leakage inductance value of the winding of square root filtering method calculating transformer both sides according to input quantity：According to
Calculated according to the magnitude of voltage and current value in input quantity, obtained coefficient matrix；According to the winding parameter and coefficient square of transformer
Battle array, by the leakage inductance value of the winding of the real-time calculating transformer both sides of square root filtering method.
Further, optionally, according to the winding parameter and coefficient matrix of transformer, counted in real time by square root filtering method
Calculating the leakage inductance value of the winding of transformer both sides includes：By the real-time calculating transformer both sides of formula group in square root filtering method
The leakage inductance value of winding, wherein, formula group include：
βN+1=ρ+fT N+1fN+1
SN+1=[βN+1]1/2SN
Wherein, θ is the parameter vector of leakage inductance value,For input and output observation vector, ρ is coefficient.
Another aspect according to embodiments of the present invention, additionally provides a kind of device of parameter identification, including：Acquisition module,
For gathering the input quantity of transformer both sides；Computing module, for passing through square root filtering method calculating transformer according to input quantity
The leakage inductance value of the winding of both sides.
Optionally, input quantity includes：Magnitude of voltage and current value.
Optionally, computing module includes：First computing unit, for carrying out according to the magnitude of voltage and current value in input quantity
Calculate, obtain coefficient matrix；Second computing unit, for according to the winding parameter and coefficient matrix of transformer, by square root
The leakage inductance value of the winding of the real-time calculating transformer both sides of filter method.
Further, optionally, the second computing unit includes：Computation subunit, for by square root filtering method
The leakage inductance value of the winding of the real-time calculating transformer both sides of formula group, wherein, formula group include：
βN+1=ρ+fT N+1fN+1
SN+1=[βN+1]1/2SN
Wherein, θ is the parameter vector of leakage inductance value,For input and output observation vector, ρ is coefficient.
In embodiments of the present invention, by the input quantity of collection transformer both sides；Pass through square root filtering according to input quantity
The leakage inductance value of the winding of method calculating transformer both sides, has reached the purpose for lifting transformer parameter recognition efficiency, it is achieved thereby that
The technique effect of transformer parameter is stably recognized, and then is solved due to carrying out being produced when transformer parameter is recognized in prior art
Raw unstable technical problem.
Description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this
Bright schematic description and description does not constitute inappropriate limitation of the present invention for explaining the present invention.In the accompanying drawings：
Fig. 1 is the schematic flow sheet of the method for parameter identification according to embodiments of the present invention；
Fig. 2 is the structural representation of the device of parameter identification according to embodiments of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present invention, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than the embodiment of whole.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, should all belong to the model of present invention protection
Enclose.
It should be noted that description and claims of this specification and the term " first " in above-mentioned accompanying drawing, "
Two " it is etc. the object for distinguishing similar, without for describing specific order or precedence.It should be appreciated that so using
Data can exchange in the appropriate case, so as to embodiments of the invention described herein can with except illustrating here or
Order beyond those of description is implemented.Additionally, term " comprising " and " having " and their any deformation, it is intended that cover
Lid is non-exclusive to be included, and for example, process, method, system, product or the equipment for containing series of steps or unit is not necessarily limited to
Those steps clearly listed or unit, but may include clearly not list or for these processes, method, product
Or intrinsic other steps of equipment or unit.
Embodiment one
According to embodiments of the present invention, there is provided a kind of embodiment of the method for parameter identification, it should be noted that in accompanying drawing
The step of flow process is illustrated can perform in the such as computer system of one group of computer executable instructions, and, although
Logical order is shown in flow chart, but in some cases, to perform shown different from order herein or can be retouched
The step of stating.
Fig. 1 is the schematic flow sheet of the method for parameter identification according to embodiments of the present invention, as shown in figure 1, the method bag
Include following steps：
Step S102, gathers the input quantity of transformer both sides；
Step S104, the leakage inductance value of the winding for passing through square root filtering method calculating transformer both sides according to input quantity.
In the method for the parameter identification that the embodiment of the present application is provided, by the input quantity for gathering transformer both sides；According to defeated
Enter the leakage inductance value of the winding that amount passes through square root filtering method calculating transformer both sides, reach lifting transformer parameter recognition efficiency
Purpose, it is achieved thereby that stably recognizing the technique effect of transformer parameter, and then solve due to carrying out in prior art
The unstable technical problem that transformer parameter is produced when recognizing.
Optionally, input quantity includes：Magnitude of voltage and current value.
Optionally, the leakage inductance of the winding for passing through square root filtering method calculating transformer both sides according to input quantity in step S104
Value includes：
Step1, is calculated according to the magnitude of voltage and current value in input quantity, obtains coefficient matrix；
Step2, according to the winding parameter and coefficient matrix of transformer, by the real-time calculating transformer two of square root filtering method
The leakage inductance value of the winding of side.
Further, optionally, lead to according to the winding parameter and coefficient matrix of transformer in the Step2 in step S104
Crossing the leakage inductance value of the winding of the real-time calculating transformer both sides of square root filtering method includes：
Step A, by the leakage inductance value of the winding of the real-time calculating transformer both sides of formula group in square root filtering method, its
In, formula group include：
βN+1=ρ+fT N+1fN+1
SN+1=[βN+1]1/2SN
Wherein, θ is the parameter vector of leakage inductance value,For input and output observation vector, ρ is coefficient.
To sum up, the method for the parameter identification that the embodiment of the present application is provided is specific as follows：Become using square root filtering method
The identification of depressor leakage inductance parameter, transformer can be distinguished for internal fault or other non-faulting states according to identification result.Text
The middle discrimination method for listing single-phase transformer and three-phase transformer respectively.
Under normal operation, external fault and current regime, the number of turn of Transformer Winding and leakage magnetic flux institute are equal through magnetic circuit
Do not change, the leakage inductance of Transformer Winding also will not change；But there is singlephase earth fault, each phase in Transformer Winding
When occurring that turn-to-turn short circuit occurs between phase fault or single-phase windings section wire turn between winding, the winding turns that winding current passes through
Number can change, and leakage inductance can change surely.Based on Transformer Winding leakage inductance in normal operation, external fault and when shoving
Do not change, and this characteristic that to change in power transformer interior fault, can be the leakage inductance value of Transformer Winding whether
The criterion changed as differentiating transformer internal fault and other non-faulting states.
Transformer nameplate parameter typically only identifies short circuit loss p and short-circuit reactance xk, does not provide the resistance of each side winding
And leakage inductance value, therefore easily and accurately acquisition above parameter just becomes the key of parameter identification method.General Coefficients of Large Power Transformer Winding
Resistance very little, protection sensitivity can be affected so as to the leakage inductance parameter of each side winding becomes by bridge method in-site measurement
Major parameter.
The method of the parameter identification that the embodiment of the present application is provided adopts former secondary loop equilibrium equation under normal circumstances, i.e.,
Formula (1) and the relation of (2), using transformer both sides electric current, voltage as input quantity, resistance is used as known quantity, the leakage of two ends winding
Inductance value carries out online real-time identification as parameter to be identified from square root filtering method, to improve the sensitivity of protection algorism.
For single-phase transformer normally running, shove and external fault condition under, mutual flux item Φ m should be equal,
Thus it is formula (1) to obtain former and deputy side winding loop equilibrium equation, and formula 1 is unsatisfactory in the case of power transformer interior fault.
Using power system more Yn/ △ connection three-phase transformer, normal condition, shove and external fault condition should
Meet (2) formula, internally under failure condition, (2) formula is unsatisfactory for.
1st, least-squares algorithm
When the recursive algorithm (RLS) from least-squares parameter estimation carries out existing in real time to each side leakage inductance value of Transformer Winding
When line is estimated, for modelIn the algorithms estimated of θ such as (3) formula, whereinFor input-output observe to
Amount, θ is unknown parameter vector.
In formula (3)It is the estimation to θ, θ is Transformer Winding parameter r, L (wherein r is known quantity, and L is value to be identified)；For coefficient matrix, using sampled value u, i can be obtained；K and P are Iterative Matrix.RLS algorithm is worked out using Matlab language
Simulated program.In view of the rapidity required by tranformer protection, the desirable transformers of initial parameter value θ (0) dispatch from the factory and test institute
The parameter for obtaining, the initial value system of selection of Iterative Matrix P is P (0)=α2I, wherein α are fully big real number, and I is unit square
Battle array.If the nonnegative definite of analysis shows P, it is ensured that the stable and convergence of parameter Estimation, otherwise parameter Estimation are just unstable, so as to
Recursive process is affected, cannot get accurate identification result.
2nd, square root filtering algorithm
The problem that numerical value may dissipate in overcome parameter identification, is distinguished herein using square root filtering algorithm to parameter
Know.Algorithm is as follows：
βN+1=ρ+fT N+1fN+1
SN+1=[βN+1]1/2SN
In least-squares algorithm, in real time that amendment is PNIf, PNPositive rule iteration convergence.Square root filtering algorithm is repeatedly
During generation, in real time that amendment is SNRather than PNSo that PN=SNST N, wherein SNFor PNSquare root, this ensures that PN
Nonnegative definite, make recursive process Fast Convergent.
The method of the parameter identification that the embodiment of the present application is provided carries out transformer leakage inductance parameter using square root filtering method
Identification, transformer can be distinguished for internal fault or other non-faulting states according to identification result.Single-phase change is listed respectively
The discrimination method of depressor and three-phase transformer.Compared with traditional the least square theory identification, this method calculating speed is fast, amount of calculation
Little, better numerical value stability, can be with Continuous plus.So, the transformer parameter identification method based on square root filtering is used as transformer
The criterion of protection, can effectively distinguish the failure and non-faulting state of transformer.Protection can be fast in half cycle after a failure
Speed differentiates there be good sensitivity and quick-action.Further, since the method is dynamic as protection merely with the physical parameter of transformer
The criterion of work, it is to avoid the complex adaptive setting of additive method and barring condition, thus it is easy to use.
Embodiment two
Another aspect according to embodiments of the present invention, additionally provides a kind of device of parameter identification, and Fig. 2 is according to the present invention
The structural representation of the device of the parameter identification of embodiment, as shown in Fig. 2 including：
Acquisition module 22, for gathering the input quantity of transformer both sides；Computing module 24, for passing through flat according to input quantity
The leakage inductance value of the winding of root filter method calculating transformer both sides.
In the device of the parameter identification that the embodiment of the present application is provided, by the input quantity for gathering transformer both sides；According to defeated
Enter the leakage inductance value of the winding that amount passes through square root filtering method calculating transformer both sides, reach lifting transformer parameter recognition efficiency
Purpose, it is achieved thereby that stably recognizing the technique effect of transformer parameter, and then solve due to carrying out in prior art
The unstable technical problem that transformer parameter is produced when recognizing.
Optionally, input quantity includes：Magnitude of voltage and current value.
Optionally, computing module 24 includes：First computing unit, for entering according to the magnitude of voltage and current value in input quantity
Row is calculated, and obtains coefficient matrix；Second computing unit, for according to transformer winding parameter and coefficient matrix, by square
The leakage inductance value of the winding of the real-time calculating transformer both sides of root filter method.
Further, optionally, the second computing unit includes：Computation subunit, for by square root filtering method
The leakage inductance value of the winding of the real-time calculating transformer both sides of formula group, wherein, formula group include：
βN+1=ρ+fT N+1fN+1
SN+1=[βN+1]1/2SN
Wherein, θ is the parameter vector of leakage inductance value,For input and output observation vector, ρ is coefficient.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, and does not have in certain embodiment
The part of detailed description, may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents, can pass through other
Mode is realized.Wherein, device embodiment described above is only schematic, such as the division of described unit, Ke Yiwei
A kind of division of logic function, can there is an other dividing mode when actually realizing, such as multiple units or component can with reference to or
Person is desirably integrated into another system, or some features can be ignored, or does not perform.Another, shown or discussed is mutual
Between coupling or direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, unit or module
Connect, can be electrical or other forms.
The unit as separating component explanation can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On unit.Some or all of unit therein can according to the actual needs be selected to realize the purpose of this embodiment scheme.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit both can be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is realized using in the form of SFU software functional unit and as independent production marketing or used
When, during a computer read/write memory medium can be stored in.Based on such understanding, technical scheme is substantially
The part for contributing to prior art in other words or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or network equipment etc.) perform the whole of each embodiment methods described of the invention or
Part steps.And aforesaid storage medium includes：USB flash disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), portable hard drive, magnetic disc or CD etc. are various can be with store program codes
Medium.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (8)
1. a kind of method of parameter identification, it is characterised in that include：
The input quantity of collection transformer both sides；
The leakage inductance value of the winding of the transformer both sides is calculated by square root filtering method according to the input quantity.
2. method according to claim 1, it is characterised in that the input quantity includes：Magnitude of voltage and current value.
3. method according to claim 1, it is characterised in that described to pass through square root filtering method meter according to the input quantity
Calculating the leakage inductance value of the winding of the transformer both sides includes：
Calculated according to the magnitude of voltage and current value in the input quantity, obtained coefficient matrix；
According to the winding parameter and the coefficient matrix of the transformer, the transformer is calculated in real time by square root filtering method
The leakage inductance value of the winding of both sides.
4. method according to claim 3, it is characterised in that the winding parameter according to the transformer and the system
Matrix number, being calculated the leakage inductance value of the winding of the transformer both sides in real time by square root filtering method is included：
Calculate the leakage inductance value of the winding of the transformer both sides in real time by the formula group in the square root filtering method, wherein,
The formula group includes：
βN+1=ρ+fT N+1fN+1
SN+1=[βN+1]1/2SN
Wherein, θ is the parameter vector of the leakage inductance value,For input and output observation vector, ρ is coefficient.
5. a kind of device of parameter identification, it is characterised in that include：
Acquisition module, for gathering the input quantity of transformer both sides；
Computing module, for calculating the leakage inductance of the winding of the transformer both sides by square root filtering method according to the input quantity
Value.
6. device according to claim 5, it is characterised in that the input quantity includes：Magnitude of voltage and current value.
7. device according to claim 5, it is characterised in that the computing module includes：
First computing unit, for being calculated according to the magnitude of voltage and current value in the input quantity, obtains coefficient matrix；
Second computing unit, for according to the winding parameter of the transformer and the coefficient matrix, by square root filtering method
The leakage inductance value of the winding of the transformer both sides is calculated in real time.
8. device according to claim 7, it is characterised in that second computing unit includes：
Computation subunit, for calculating the winding of the transformer both sides in real time by the formula group in the square root filtering method
Leakage inductance value, wherein, the formula group includes：
βN+1=ρ+fT N+1fN+1
SN+1=[βN+1]1/2SN
Wherein, θ is the parameter vector of the leakage inductance value,For input and output observation vector, ρ is coefficient.
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| CN201611162819.3A CN106645998A (en) | 2016-12-15 | 2016-12-15 | Parameter recognition method and system |
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| CN201611162819.3A CN106645998A (en) | 2016-12-15 | 2016-12-15 | Parameter recognition method and system |
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Cited By (1)
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| CN109100600A (en) * | 2018-09-06 | 2018-12-28 | 华北电力大学 | A kind of magnetic control type paralleling reactor fault determination method and system |
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