CN109975607A - Power distribution station capacity recognition methods, device, storage medium and electronic equipment - Google Patents
Power distribution station capacity recognition methods, device, storage medium and electronic equipment Download PDFInfo
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Abstract
The embodiment of the present application provides a kind of power distribution station capacity recognition methods, device, storage medium and electronic equipment, it is the transformer of Yyn0 type applied to group, wherein, method includes: the multiple voltage differences and the corresponding current differential of each voltage difference in the first preset time period for acquire region to be measured.Multiple voltage differences and multiple current differentials are input in the capacity model of fit pre-established, the corresponding capacity parameter in region to be measured is obtained.According to capacity parameter and preset multiple normal capacity parameters, the corresponding capacity in region to be measured is obtained.Capacity is for identifying load energy consumption condition corresponding with region to be measured.The embodiment of the present application obtains the capacity parameter in corresponding region to be measured according to capacity model of fit by the voltage difference and current differential in acquisition region to be measured.It realizes the quick identification to field capacity to be measured to obtain the corresponding capacity in region to be measured by comparing capacity parameter and normal capacity parameter, saves excessive calculating step.
Description
Technical field
This application involves distribution detection fields, in particular to a kind of power distribution station capacity recognition methods, device, deposit
Storage media and electronic equipment.
Background technique
Whether platform area capacity of distribution transform parameter is accurate most important, and for a long time, what is recorded in distribution related system matches transfiguration
Capacity in amount or nameplate parameter is misfitted with actual capacity.Therefore, it is necessary to verify distribution transformer reality for power department
Rated capacity, and the capacity information of mistake is corrected.
Past distribution network automated development relatively falls behind, and the process of traditional capacity identification is excessively complicated, calculates
Cumbersome, in practice, the efficiency of capacity identification is too low.
Summary of the invention
In view of this, the embodiment of the present application is designed to provide a kind of power distribution station capacity recognition methods, device, storage
Medium and electronic equipment, to improve above-mentioned technical problem.
In a first aspect, the embodiment of the present application provides a kind of power distribution station capacity recognition methods, being applied to group is Yyn0
The transformer of type, comprising: acquire the multiple voltage differences and each voltage difference in first preset time period in region to be measured
Corresponding current differential；Multiple voltage differences and multiple current differentials are input to the capacity fitting mould pre-established
In type, the corresponding capacity parameter in the region to be measured is obtained；Held according to the capacity parameter and preset multiple standards
Parameter is measured, the corresponding capacity in the region to be measured is obtained；The capacity is for identifying load consumption corresponding with the region to be measured
It can situation.
The embodiment of the present application is obtained by the voltage difference and current differential in acquisition region to be measured according to capacity model of fit
The capacity parameter in corresponding region to be measured.It is corresponding to obtain region to be measured by comparing capacity parameter and normal capacity parameter
Capacity realizes the quick identification to field capacity to be measured, saves excessive calculating step.
Further, the multiple voltage differences and multiple current differentials in first preset time in the acquisition region to be measured
Before, the method also includes: acquire multiple sample areas groups corresponding multiple standard electrics in the second preset time period
Pressure difference and the corresponding normalized current difference of each normal voltage difference；Wherein, the sample areas group includes multiple samples
Region, each corresponding normal capacity of the sample areas group；Using the capacity model of fit respectively to each sample area
The corresponding multiple normal voltage differences in domain and multiple normalized current differences are handled, and determine that each sample areas is corresponding
Normal capacity parameter；Wherein: the capacity model of fit are as follows:
ΔUt=a × Δ It+b
Wherein, Δ UtFor normal voltage sequence of differences, the normal voltage sequence of differences includes multiple normal voltages
Difference；ΔItFor normalized current sequence of differences, the normalized current sequence of differences includes multiple normalized current differences；A is
The corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity parameter of the sample areas.
The embodiment of the present application passes through the normal voltage difference and normalized current difference for acquiring multiple sample areas groups, according to appearance
Model of fit is measured, multiple normal capacity parameters corresponding with normal capacity are obtained.Allow the capacity parameter in region to be measured with
Multiple normal capacity parameters compare, also, when the demand of capacity identification is adjusted, the normal capacity obtained by collecting sample
Parameter can also adjust together with demand.
Further, described to utilize the capacity model of fit multiple normal voltages corresponding to each sample areas respectively
Difference and multiple normalized current differences are handled, and determine the corresponding normal capacity parameter of each sample areas, comprising: root
According to the capacity model of fit, it is based on principle of least square method, obtains corresponding capacity parameter model；Utilize the capacity parameter
Multiple normal voltage differences corresponding to each sample areas and multiple normalized current differences are handled model respectively, determine institute
State the corresponding normal capacity parameter of each sample areas；The capacity parameter model are as follows:
Wherein, a is the corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity ginseng of the sample areas
Number；N is the quantity of corresponding normal voltage difference or normalized current difference；ΔUtiFor in the normal voltage sequence of differences
The i normal voltage differences；ΔItiFor i-th of normalized current difference in the normalized current sequence of differences；I is small
In or equal to N positive integer.
The embodiment of the present application can derive capacity parameter mould according to capacity model of fit by principle of least square method
Type.So that voltage difference and current differential are input to capacity parameter model, available corresponding capacity parameter in this way can be with
Capacity parameter is easily acquired, and the quadratic sum of error is most between the capacity parameter that these are acquired and actual capacity parameter
It is small.
Further, described to utilize the capacity model of fit multiple normal voltages corresponding to each sample areas respectively
Difference and multiple normalized current differences are handled, after determining the corresponding normal capacity parameter of each sample areas, institute
State method further include: according to multiple normal capacity parameters and the capacity model of fit, obtain capacity identification figure.
The embodiment of the present application is by that can draw capacity identification figure, make according to normal capacity parameter and capacity model of fit
After the corresponding capacity parameter in region to be measured must be obtained, it can identify in figure in capacity according to capacity parameter and capacity model of fit,
Draw corresponding straight line.It, can be more intuitively straight according to image as a result, when more region to be measured needs to carry out capacity identification
It connects and judges corresponding capacity.
Further, the multiple voltage differences and each voltage in first preset time period in the acquisition region to be measured
The corresponding current differential of difference, comprising: multiple phase voltages in first preset time period in the acquisition region to be measured and every
The corresponding phase current of one phase voltage；Using difference computation model respectively to corresponding multiple phase voltages in each region to be measured and multiple
Phase current is handled, and determines each corresponding multiple voltage differences in region to be measured and multiple current differentials；
The difference computation model are as follows:
Wherein, Δ UtiFor i-th of voltage difference in voltage difference sequence；Uai, Ubi, UciIt acquires and obtains for i-th
Three-phase phase voltage；ΔItiFor i-th of current differential in current differential sequence；Iai, Ibi, IciIt acquires and obtains for i-th
Three-phase phase current；I is the positive integer less than or equal to N.
The embodiment of the present application passes through difference according to phase voltage and phase current by the phase voltage and phase current in acquisition region to be measured
It is worth computation model, available corresponding voltage difference and current differential, subsequent calculating is carried out.
Second aspect, the embodiment of the present application provide a kind of power distribution station capacity identification device, and being applied to group is Yyn0
The transformer of type, comprising: acquisition module, multiple voltage differences in the first preset time period for acquiring region to be measured and
The corresponding current differential of each voltage difference；Computing module is used for multiple voltage differences and multiple current differentials
It is input in the capacity model of fit pre-established, obtains the corresponding capacity parameter in the region to be measured；Processing module is used for root
According to the capacity parameter and preset multiple normal capacity parameters, the corresponding capacity in the region to be measured is obtained；It is described
Capacity is for identifying load energy consumption condition corresponding with the region to be measured.
Further, described device further include: sample collection module, it is default second for acquiring multiple sample areas groups
Corresponding multiple normal voltage differences and the corresponding normalized current difference of each normal voltage difference in period；Its
In, the sample areas group includes multiple sample areas, each corresponding normal capacity of the sample areas group；Sample process
Module, for utilizing the capacity model of fit multiple normal voltage differences corresponding to each sample areas and multiple marks respectively
Quasi- current differential is handled, and determines the corresponding normal capacity parameter of each sample areas；Wherein: the capacity is fitted mould
Type are as follows:
ΔUt=a × Δ It+b
Wherein, Δ UtFor normal voltage sequence of differences, the normal voltage sequence of differences includes multiple normal voltages
Difference；ΔItFor normalized current sequence of differences, the normalized current sequence of differences includes multiple normalized current differences；A is
The corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity parameter of the sample areas.
Further, the sample process module, comprising: modeling unit, for being based on according to the capacity model of fit
Principle of least square method obtains corresponding capacity parameter model；Capacity calculating unit, for utilizing the capacity parameter model point
Other multiple normal voltage differences corresponding to each sample areas and multiple normalized current differences are handled, and are determined described each
The corresponding normal capacity parameter of sample areas；The capacity parameter model are as follows:
Wherein, a is the corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity ginseng of the sample areas
Number；N is the quantity of corresponding normal voltage difference or normalized current difference；ΔUtiFor in the normal voltage sequence of differences
The i normal voltage differences；ΔItiFor i-th of normalized current difference in the normalized current sequence of differences；I is small
In or equal to N positive integer.
The third aspect, it is described non-transient the embodiment of the present application also provides a kind of non-transient computer readable storage medium
Computer-readable recording medium storage computer instruction, the computer instruction make the computer execute such as above-mentioned method.
Fourth aspect, the embodiment of the present application also provides a kind of electronic equipment, comprising: processor, memory and bus,
In, the processor and the memory complete mutual communication by the bus；The memory is stored with can be by institute
The program instruction of processor execution is stated, the processor calls described program instruction to be able to carry out such as above-mentioned method.
Other feature and advantage of the application will be illustrated in subsequent specification, also, partly be become from specification
It is clear that by implementing the embodiment of the present application understanding.The purpose of the application and other advantages can be by written theorys
Specifically noted structure is achieved and obtained in bright book, claims and attached drawing.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only some embodiments of the application, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the structural block diagram of a kind of electronic equipment provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of power distribution station capacity recognition methods provided by the embodiments of the present application；
Fig. 3 is a kind of flow diagram of capacity parameter calculation method provided by the embodiments of the present application；
Fig. 4 is a kind of capacity identification figure provided by the embodiments of the present application；
Fig. 5 is a kind of power distribution station capacity identification device structural schematic diagram provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Ground description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.Usually exist
The component of the embodiment of the present application described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed the application's to the detailed description of the embodiments herein provided in the accompanying drawings below
Range, but it is merely representative of the selected embodiment of the application.Based on embodiments herein, those skilled in the art are not being done
Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.Meanwhile the application's
In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
Fig. 1 is please referred to, Fig. 1 shows a kind of structural block diagram of electronic equipment 10 that can be applied in the embodiment of the present application.
Electronic equipment 10 may include power distribution station capacity identification device 100, memory 101, storage control 102, processor 103,
Peripheral Interface 104, input-output unit 105, audio unit 106, display unit 107.
The memory 101, storage control 102, processor 103, Peripheral Interface 104, input-output unit 105, sound
Frequency unit 106, each element of display unit 107 are directly or indirectly electrically connected between each other, to realize the transmission or friendship of data
Mutually.It is electrically connected for example, these elements can be realized between each other by one or more communication bus or signal wire.The distribution
Platform area capacity identification device 100 includes that at least one can be stored in the memory in the form of software or firmware (firmware)
In 101 or it is solidificated in soft in the operating system (operating system, OS) of the power distribution station capacity identification device 100
Part functional module.The processor 103 is for executing the executable module stored in memory 101, such as the power distribution station
The software function module or computer program that capacity identification device 100 includes.
Wherein, memory 101 may be, but not limited to, random access memory (Random Access Memory,
RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only
Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM),
Electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Wherein, memory 101 is for storing program, and the processor 103 executes described program after receiving and executing instruction, aforementioned
Method performed by the server that the stream process that the embodiment of the present application any embodiment discloses defines can be applied to processor 103
In, or realized by processor 103.
Processor 103 can be a kind of IC chip, the processing capacity with signal.Above-mentioned processor 103 can
To be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit
(Network Processor, abbreviation NP) etc.；Can also be digital signal processor (DSP), specific integrated circuit (ASIC),
Ready-made programmable gate array (FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hard
Part component.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present application.General processor
It can be microprocessor or the processor 103 be also possible to any conventional processor etc..
Various input/output devices are couple processor 103 and memory 101 by the Peripheral Interface 104.Some
In embodiment, Peripheral Interface 104, processor 103 and storage control 102 can be realized in one single chip.Other one
In a little examples, they can be realized by independent chip respectively.
Input-output unit 105 realizes user and the server (or local terminal) for being supplied to user input data
Interaction.The input-output unit 105 may be, but not limited to, mouse and keyboard etc..
Audio unit 106 provides a user audio interface, may include one or more microphones, one or more raises
Sound device and voicefrequency circuit.
Display unit 107 provides an interactive interface (such as user's operation circle between the electronic equipment 10 and user
Face) or for display image data give user reference.In the present embodiment, the display unit 107 can be liquid crystal display
Or touch control display.It can be the capacitance type touch control screen or resistance of support single-point and multi-point touch operation if touch control display
Formula touch screen etc..Single-point and multi-point touch operation is supported to refer to that touch control display can sense on the touch control display one
Or at multiple positions simultaneously generate touch control operation, and the touch control operation that this is sensed transfer to processor 103 carry out calculate and
Processing.
Various input/output devices are couple processor 103 and memory 101 by the Peripheral Interface 104.Some
In embodiment, Peripheral Interface 104, processor 103 and storage control 102 can be realized in one single chip.Other one
In a little examples, they can be realized by independent chip respectively.
Input-output unit 105 is used to be supplied to the interaction that user input data realizes user and processing terminal.It is described defeated
Entering output unit 105 may be, but not limited to, mouse and keyboard etc..
It is appreciated that structure shown in FIG. 1 is only to illustrate, the electronic equipment 10 may also include more than shown in Fig. 1
Perhaps less component or with the configuration different from shown in Fig. 1.Each component shown in Fig. 1 can use hardware, software
Or combinations thereof realize.
Fig. 2 is a kind of flow diagram of power distribution station capacity recognition methods provided by the embodiments of the present application, such as Fig. 2 institute
Show, the embodiment of the present application provides a kind of power distribution station capacity recognition methods, is the transformer of Yyn0 type, packet applied to group
It includes:
Step 210: acquiring the multiple voltage differences and each voltage difference in first preset time period in region to be measured
Corresponding current differential.
In the specific implementation process, in region to be measured, corresponding multiple voltage differences in the first preset time are acquired
And current differential corresponding with each voltage difference.
Wherein, voltage difference and current differential can be obtained from the operation/maintenance data pond of power distribution station operation platform.Also,
Frequency acquisition can be primary for half an hour acquisition, or acquisition is primary daily, and specific frequency acquisition can be according to reality
The capacity accuracy of identification that border needs is adjusted.First preset time can be one month, or 1 year, specific first
Predetermined time period can the quantity of acquisition data according to actual needs be adjusted.
Step 220: multiple voltage differences and multiple current differentials are input to the capacity fitting pre-established
In model, the corresponding capacity parameter in the region to be measured is obtained.
In the specific implementation process, collected multiple voltage differences and multiple current differentials are accordingly input to appearance
It measures in model of fit, capacity model of fit can be handled multiple voltage differences and multiple current differentials, obtain area to be measured
The corresponding capacity parameter in domain.
Step 230: according to the capacity parameter and preset multiple normal capacity parameters, obtaining the area to be measured
The corresponding capacity in domain；Wherein, the capacity is for identifying load energy consumption condition corresponding with the region to be measured.
In the specific implementation process, can by by obtained capacity parameter and preset normal capacity parameter into
Row compares, and obtains the corresponding capacity in region to be measured.And capacity can identify the corresponding load energy consumption condition in region to be measured.By drawing
Enter capacity model of fit, to calculate the corresponding capacity parameter in region to be measured, then by obtained capacity parameter and normal capacity parameter
Compare, thus obtain the corresponding capacity in region to be measured, realizes the quick identification to field capacity to be measured, excessive meter can be saved
Calculate step.Also, the obtained corresponding capacity in region to be measured can also provide assessment parameter for power distribution station operation platform, with
Corresponding O&M strategy can be formulated according to capacity by continuing operation platform after an action of the bowels.
It is worth noting that above-mentioned region to be measured can be power distribution station.And in the power system, power distribution station refers to one
The supply district of platform transformer or region.Thus, it would be desirable to measure multiple current differentials of the corresponding transformer in power distribution station
With multiple corresponding current differentials, corresponding capacity parameter is obtained by capacity model of fit, is obtained again according to capacity parameter pair
The power distribution station capacity answered, namely: the capacity of transformer.
Also, the connection group of transformer can be Yyn0 type.Wherein, the high-pressure side three-phase of Y indication transformer is star
The low-pressure side three-phase of wiring, y indication transformer is star-star connection, and the low-pressure side neutral point of n indication transformer needs to draw, 0 table
Show the high-pressure side of transformer and low-pressure side voltage phase difference is 0 degree.Therefore, what the connection group of transformer indicated is transformer
Connection performance identifies that the mode of capacity is also different according to the connection performance of different transformers.
It should be noted that capacity parameter and preset normal capacity parameter by comparing region to be measured, it can be with
Corresponding capacity is obtained, above-mentioned capacity can be a more specific value, or a range, such as: an existing mark
Quasi- capacity parameter A, corresponding normal capacity a, there are also a normal capacity parameter B, corresponding normal capacity b, wherein A is greater than B, and b is big
In a, it can be said that capacity parameter and normal capacity are inversely.Also, the corresponding capacity parameter in region to be measured is less than A and big
In B, then the corresponding capacity in above-mentioned region to be measured is a~b.
For example, if the normal capacity parameter in five various criterion platform areas is A, B, C, D and E, and normal capacity is joined
Several sizes are successively successively decreased, five above-mentioned standard capacity parameters according to putting in order, be corresponding in turn to 50kVA, 100kVA,
The normal capacity that 200kVA, 400kVA, 630kVA are five.And capacity model of fit handles to obtain the corresponding capacity ginseng in region to be measured
Number is X, if capacity parameter X is greater than A, determines that the corresponding capacity in region to be measured is less than 50KVA.If capacity parameter X is equal to A,
Determine that the corresponding capacity in region to be measured is 50KVA.If capacity parameter X is less than A and is greater than B, the corresponding appearance in region to be measured is determined
Amount is 50~100KVA.If capacity parameter X is equal to B, determine that the corresponding capacity in region to be measured is 100KVA.If capacity parameter X
Less than B and it is greater than C, then determines that the corresponding capacity in region to be measured is 100~200KVA.If capacity parameter X be equal to C, determine to
Surveying the corresponding capacity in region is 200KVA.If capacity parameter X is less than C and is greater than D, determine that the corresponding capacity in region to be measured is
200~400KVA.If capacity parameter X is equal to D, determine that the corresponding capacity in region to be measured is 400KVA.If capacity parameter X is less than
D and be greater than E, then determine the corresponding capacity in region to be measured be 400~630KVA.If capacity parameter X is equal to E, area to be measured is determined
The corresponding capacity in domain is 630KVA.If capacity parameter X is less than E, determine that the corresponding capacity in region to be measured is greater than 630KVA.
It is worth noting that the numerical value and quantity of above-mentioned standard capacity parameter do not limit, specific numerical value and quantity can
It is adjusted with identifying demand according to actual capacity, only provides an example herein.Meanwhile the numerical value of normal capacity and
The range of division does not also limit, specific range and numerical value, can identify that situation is adjusted according to actual capacity, herein only
Provide an example.
Fig. 3 is a kind of flow diagram of capacity parameter calculation method provided by the embodiments of the present application, as shown in figure 3,
Before step 210, the method also includes:
Step 310: acquiring multiple sample areas groups corresponding multiple standard electric pressure differences in the second preset time period
Value and the corresponding normalized current difference of each normal voltage difference.Wherein, the sample areas group includes multiple sample areas,
Each corresponding normal capacity of the sample areas group.
In the specific implementation process, multiple sample areas groups are chosen, each sample areas group includes that multiple capacity are identical
Sample areas, and the corresponding normal capacity of each sample areas group.It is corresponding more to acquire multiple sample areas groups
A normal voltage difference and multiple normalized current differences, normal voltage difference and normalized current difference correspond, the number of acquisition
It measures also identical.
Step 320: utilizing the capacity model of fit multiple normal voltage differences corresponding to each sample areas respectively
It is handled with multiple normalized current differences, determines the corresponding normal capacity parameter of each sample areas.
The capacity model of fit are as follows:
ΔUt=a × Δ It+b
Wherein, Δ UtFor normal voltage sequence of differences, the normal voltage sequence of differences includes multiple normal voltages
Difference；ΔItFor normalized current sequence of differences, the normalized current sequence of differences includes multiple normalized current differences；A is
The corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity parameter of the sample areas.
In the specific implementation process, according to capacity model of fit, to multiple standards of each sample areas group of acquisition
Voltage difference and multiple normalized current differences are calculated, and processing obtains the corresponding normal capacity parameter of each sample areas.?
Sample areas group through determining normal capacity can obtain corresponding normal capacity parameter, in this way by capacity model of fit
Obtained normal capacity parameter can be adjusted with the variation of sample areas group, it can be held according to actual needs
The region of identification is measured to adjust normal capacity parameter.
Wherein, the foundation of capacity model of fit is according to linear fit principle, and main purpose is to seek current differential and electricity
The expression that rule between pressure difference and capacity is adapted.Therefore, capacity model of fit is according to current differential and voltage difference
Corresponding relationship between capacity and establish.
Also, in capacity model of fit, the corresponding normal voltage sequence of differences of each sample areas and a standard
Current differential sequence.Normal voltage sequence of differences includes multiple normal voltage differences of corresponding sample areas, and normalized current is poor
Value sequence includes multiple normalized current differences of corresponding sample areas.By capacity model of fit respectively to each group of standard electric
Pressure difference value sequence and corresponding current differential sequence are handled, the corresponding normal capacity parameter of available each sample areas
Parameter is looked into non-standard capacity.
It is worth noting that corresponding normal capacity parameter, each sample area can also be obtained by each sample areas
Domain group can correspond to multiple normal capacity parameters, handle multiple primary standard capacity parameters, and available corresponding one
A target criteria capacity parameter.For example, can be handled by being averaged multiple normal capacity parameters, obtain corresponding
The corresponding target criteria capacity parameter of each sample areas group.It can also be by taking desired value to multiple primary standard capacity
Parameter is handled, and the corresponding normal capacity parameter of each sample areas group is obtained.Handle primary standard capacity parameter
The accuracy of the normal capacity parameter that mode can according to need selects.
Also, because non-capacity parameter value is smaller, too small with the correlation of the capacity of sample areas, the embodiment of the present application is not
As main impact factor.
It should be noted that the capacity model of fit that step 220 needs, or above-mentioned capacity model of fit:
Wherein,For voltage difference sequence, the voltage difference sequence includes multiple voltage differences；For
Current differential sequence, the current differential sequence include multiple current differentials；á is the corresponding capacity ginseng in the region to be measured
Number；For the corresponding non-capacity parameter in the region to be measured.As a result, by the capacity model of fit to multiple voltage differences and right
The multiple current differentials answered are handled, available corresponding capacity parameter.
On the basis of the above embodiments, step 320, comprising:
According to the capacity model of fit, it is based on principle of least square method, obtains corresponding capacity parameter model.
It in the specific implementation process, can be according to the principle that above-mentioned capacity model of fit be constructed according to least square method
Capacity parameter model corresponding with capacity model of fit, so that capacity parameter model is to normal voltage difference and normalized current difference
Processing, obtains the corresponding capacity parameter of sample areas.
Utilize the capacity parameter model multiple normal voltage differences corresponding to each sample areas and multiple marks respectively
Quasi- current differential is handled, and determines the corresponding normal capacity parameter of each sample areas；The capacity parameter model are as follows:
Wherein, a is the corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity ginseng of the sample areas
Number；N is the quantity of corresponding normal voltage difference or normalized current difference；ΔUtiFor in the normal voltage sequence of differences
The i normal voltage differences；ΔItiFor i-th of normalized current difference in the normalized current sequence of differences；I is small
In or equal to N positive integer.
In the specific implementation process, after building capacity parameter model, by the corresponding multiple normal voltages of sample areas
Difference and corresponding multiple normalized current differences, are input to capacity parameter model and are handled, obtain the corresponding mark of sample areas
Quasi- capacity parameter.By the capacity parameter model obtained according to principle of least square method, to find out corresponding normal capacity parameter,
So that the error sum of squares between actual capacity parameter in the normal capacity parameter found out and capacity model of fit is minimum, standard
Capacity parameter is also more accurate.
It is worth noting that according to principle of least square method, it, can for the normal capacity parameter a in capacity model of fit
To obtain corresponding formula one:
Wherein, YiFor measured value, YjFor calculated value.And according to the optimization judgment basis of principle of least square method: measured value with
The quadratic sum of the deviation of calculated value is minimum.You can get it formula two:
According to above-mentioned optimization judgment basis, can makeIt goes to zero, even if YiAnd YjSum of squares of deviations it is minimum, further according to
Formula one and formula two, can derive formula three:
Optimal a and b should be found out as a result, keeps the f (a, b) in formula three minimum.Thus again to a and b in formula three
Ask local derviation that corresponding capacity parameter model can be obtained.Specific derivation process is not repeating herein.
It should also be noted that, the corresponding capacity parameter in acquisition region to be measured in step 220, can also pass through above-mentioned appearance
It measures parameter model row to calculate, that is, utilizes the capacity parameter model multiple voltage differences corresponding to region to be measured and multiple respectively
Current differential is handled, and determines the corresponding capacity parameter in the region to be measured；The capacity parameter model are as follows:
Wherein, á is the corresponding capacity parameter in the region to be measured；For the corresponding non-capacity parameter in the region to be measured；For the quantity of corresponding voltage difference or current differential；For described in i-th in the normal voltage sequence of differences
Normal voltage difference；For i-th of normalized current difference in the normalized current sequence of differences；I is to be less than or wait
InPositive integer.
Fig. 4 is a kind of capacity identification figure provided by the embodiments of the present application, as shown in figure 4, after step 320, the method
Further include:
According to multiple normal capacity parameters and the capacity model of fit, capacity identification figure is obtained.
In the specific implementation process, it according to obtained multiple normal capacity parameters and capacity model of fit, can draw
The capacity that each normal capacity parameter and corresponding capacity model of fit are constituted identifies figure.
Wherein, each straight line in capacity identification figure respectively represents the corresponding capacity of a sample areas group, and straight line
Slope be corresponding normal capacity parameter, in Fig. 4, the slope of the line correspondences of 50KVA and the straight line pair of 630KVA
The slope answered is different, and specific slope size needs to obtain by above-mentioned model treatment.By drawing capacity identification figure, Ke Yi
When carrying out capacity identification to multiple regions to be measured, drawn in capacity identification figure according to the capacity parameter and capacity model of fit that obtain
Corresponding straight line out allows to directly scheme by capacity identification, more intuitively, fast determines that multiple regions to be measured are corresponding
Capacity.
On the basis of the above embodiments, step 210, comprising:
Acquire the multiple phase voltages and the corresponding phase of each phase voltage in first preset time period in the region to be measured
Electric current.
Using difference computation model respectively to each corresponding multiple phase voltages in region to be measured and multiple phase currents at
Reason, determines each corresponding multiple voltage differences in region to be measured and multiple current differentials.
The difference computation model are as follows:
Wherein, Δ UtiFor i-th of voltage difference in voltage difference sequence；Uai, Ybi, UciIt acquires and obtains for i-th
Three-phase phase voltage；ΔItiFor i-th of current differential in current differential sequence；Iai, Ibi, IciIt acquires and obtains for i-th
Three-phase phase current；I is the positive integer less than or equal to N.
In the specific implementation process, corresponding multiple phase voltages and corresponding with phase voltage can be acquired in region to be measured
Multiple phase currents can acquire the voltage and current at each phase both ends of threephase load in region to be measured during one acquisition,
As three-phase phase voltage and three-phase phase current.Multiple phase voltages and multiple phase currents are input in difference computation model again and are carried out
Processing, the difference for finding out the maximum phase voltage and minimum phase voltage in three-phase phase voltage are mutually electric as voltage difference and three-phase
The difference of maximum phase current and minimum phase current in stream is as current differential.
It is worth noting that the multiple sample areas groups of acquisition in step 310 respectively correspond in the second preset time period
Multiple normal voltage differences and the corresponding normalized current difference of each normal voltage difference.It can also come through the above steps
It is obtained, it may be assumed that
Acquire the multiple standard phase voltages and each standard phase in the second preset time period of the multiple sample areas
The corresponding standard phase current of voltage.
Using difference computation model, multiple standard phase voltages corresponding to each sample areas are mutually electric with multiple standards respectively
Stream is handled, and determines that the corresponding multiple normal voltage differences of each sample areas and multiple normalized currents are poor
Value.
The difference computation model are as follows:
Wherein,For i-th of normal voltage difference in normal voltage sequence of differences；It is
The three-phase standard phase voltage that i acquisition obtains；For i-th of normalized current difference in normalized current sequence of differences；The three-phase standard phase current obtained for i-th acquisition；I is the positive integer less than or equal to N.
Specific implementation process is consistent with the voltage difference in above-mentioned acquisition region to be measured and current differential, no longer superfluous herein
It states.
Acquire multiple sample areas groups corresponding multiple normal voltage differences and every in the second preset time period
The corresponding normalized current difference of one normal voltage difference.Wherein, the sample areas group includes multiple sample areas, each described
Sample areas group corresponds to a normal capacity.
Fig. 5 is a kind of power distribution station capacity identification device structural schematic diagram provided by the embodiments of the present application, as shown in figure 5,
The embodiment of the present application also provides a kind of power distribution station capacity identification devices, are the transformer of Yyn0 type applied to group, comprising:
Acquisition module 510, multiple voltage differences in the first preset time period for acquiring region to be measured and each
The corresponding current differential of voltage difference.
Computing module 520 is pre-established for being input to multiple voltage differences and multiple current differentials
In capacity model of fit, the corresponding capacity parameter in the region to be measured is obtained.
Processing module 530, for obtaining institute according to the capacity parameter and preset multiple normal capacity parameters
State the corresponding capacity in region to be measured；The capacity is for identifying load energy consumption condition corresponding with the region to be measured.
Device provided by the embodiments of the present application is for executing the above method, the embodiment party of specific embodiment and method
Formula is consistent, and details are not described herein again.
On the basis of the above embodiments, described device further include:
Sample collection module, for acquiring multiple sample areas groups corresponding multiple marks in the second preset time period
Quasi- voltage difference and the corresponding normalized current difference of each normal voltage difference.Wherein, the sample areas group includes multiple
Sample areas, each corresponding normal capacity of the sample areas group.
Sample process module, for utilizing the capacity model of fit multiple standards corresponding to each sample areas respectively
Voltage difference and multiple normalized current differences are handled, and determine the corresponding normal capacity parameter of each sample areas.
The capacity model of fit are as follows:
ΔUt=a × Δ It+b
Wherein, Δ UtFor normal voltage sequence of differences, the normal voltage sequence of differences includes multiple normal voltages
Difference；ΔItFor normalized current sequence of differences, the normalized current sequence of differences includes multiple normalized current differences；A is
The corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity parameter of the sample areas.
Device provided by the embodiments of the present application is for executing the above method, the embodiment party of specific embodiment and method
Formula is consistent, and details are not described herein again.
It is returned on the basis of above-described embodiment, the sample process module, comprising:
Modeling unit obtains corresponding capacity ginseng for being based on principle of least square method according to the capacity model of fit
Exponential model.
Capacity calculating unit, for utilizing the capacity parameter model multiple standards corresponding to each sample areas respectively
Voltage difference and multiple normalized current differences are handled, and determine the corresponding normal capacity parameter of each sample areas.
The capacity parameter model are as follows:
Wherein, a is the corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity ginseng of the sample areas
Number；N is the quantity of corresponding voltage difference or current differential；ΔUtiFor described in i-th in the normal voltage sequence of differences
Normal voltage difference；ΔItiFor i-th of normalized current difference in the normalized current sequence of differences；I is to be less than or wait
In the positive integer of N.
Device provided by the embodiments of the present application is for executing the above method, the embodiment party of specific embodiment and method
Formula is consistent, and details are not described herein again.
On the basis of the above embodiments, described device further include:
Image module, for showing that capacity is identified according to multiple normal capacity parameters and the capacity model of fit
Figure.
Device provided by the embodiments of the present application is for executing the above method, the embodiment party of specific embodiment and method
Formula is consistent, and details are not described herein again.
On the basis of the above embodiments, the acquisition module 510, comprising:
Initial acquisition unit, multiple phase voltages in the first preset time period for acquiring the region to be measured and every
The corresponding phase current of one phase voltage.
Difference computational unit, for using difference computation model respectively to the corresponding multiple phase voltages in each region to be measured and
Multiple phase currents are handled, and determine each corresponding multiple voltage differences in region to be measured and multiple current differences
Value.
The difference computation model are as follows:
Wherein, Δ UtiFor i-th of voltage difference in voltage difference sequence；Uai, Ubi, UciIt acquires and obtains for i-th
Three-phase phase voltage；ΔItiFor i-th of current differential in current differential sequence；Iai, Ibi, IciIt acquires and obtains for i-th
Three-phase phase current；I is the positive integer less than or equal to N.
Device provided by the embodiments of the present application is for executing the above method, the embodiment party of specific embodiment and method
Formula is consistent, and details are not described herein again.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description
Specific work process, no longer can excessively be repeated herein with reference to the corresponding process in preceding method.
In conclusion the embodiment of the present application provides a kind of power distribution station capacity recognition methods, device, storage medium and electricity
Sub- equipment is the transformer of Yyn0 type applied to group, and method includes: more in the first preset time period for acquire region to be measured
A voltage difference and the corresponding current differential of each voltage difference.By multiple voltage differences and multiple current differentials
It is input in the capacity model of fit pre-established, obtains the corresponding capacity parameter in the region to be measured.Joined according to the capacity
Several and preset multiple normal capacity parameters obtain the corresponding capacity in the region to be measured.The capacity is for identifying
Load energy consumption condition corresponding with the region to be measured.The voltage difference and electric current that the embodiment of the present application passes through acquisition region to be measured
Difference obtains the capacity parameter in corresponding region to be measured according to capacity model of fit.By comparing capacity parameter and normal capacity
Parameter realizes the quick identification to field capacity to be measured to obtain the corresponding capacity in region to be measured, saves excessive calculating step
Suddenly.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and block diagram in attached drawing
Show the device of multiple embodiments according to the application, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part of the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that function marked in the box can also be to be different from some implementations as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated base for executing defined function or movement
It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional module in each embodiment of the application can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) execute each embodiment the method for the application all or part of the steps.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.It should also be noted that similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and explained.
The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any
Those familiar with the art within the technical scope of the present application, can easily think of the change or the replacement, and should all contain
Lid is within the scope of protection of this application.Therefore, the protection scope of the application shall be subject to the protection scope of the claim.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Claims (10)
1. a kind of power distribution station capacity recognition methods, which is characterized in that be the transformer of Yyn0 type applied to group, comprising:
Acquire the multiple voltage differences and the corresponding current difference of each voltage difference in first preset time period in region to be measured
Value；
Multiple voltage differences and multiple current differentials are input in the capacity model of fit pre-established, institute is obtained
State the corresponding capacity parameter in region to be measured；
According to the capacity parameter and preset multiple normal capacity parameters, the corresponding appearance in the region to be measured is obtained
Amount；The capacity is for identifying load energy consumption condition corresponding with the region to be measured.
2. capacity recognition methods in power distribution station according to claim 1, which is characterized in that the of acquisition region to be measured
Before multiple voltage differences and multiple current differentials in one preset time, the method also includes:
Acquire multiple sample areas groups corresponding multiple normal voltage differences and each mark in the second preset time period
The corresponding normalized current difference of quasi- voltage difference；Wherein, the sample areas group includes multiple sample areas, each sample
Region group corresponds to a normal capacity；
Utilize the capacity model of fit multiple normal voltage differences corresponding to each sample areas and multiple standard electrics respectively
Stream difference is handled, and determines the corresponding normal capacity parameter of each sample areas；Wherein:
The capacity model of fit are as follows:
ΔUt=a × Δ It+b
Wherein, Δ UtFor normal voltage sequence of differences, the normal voltage sequence of differences includes multiple normal voltage differences；
ΔItFor normalized current sequence of differences, the normalized current sequence of differences includes multiple normalized current differences；A is the sample
The corresponding normal capacity parameter in one's respective area；B is the corresponding non-capacity parameter of the sample areas.
3. capacity recognition methods in power distribution station according to claim 2, which is characterized in that described to be fitted using the capacity
Multiple normal voltage differences corresponding to each sample areas and multiple normalized current differences are handled model respectively, determine institute
State the corresponding normal capacity parameter of each sample areas, comprising:
According to the capacity model of fit, it is based on principle of least square method, obtains corresponding capacity parameter model；
Utilize the capacity parameter model multiple normal voltage differences corresponding to each sample areas and multiple standard electrics respectively
Stream difference is handled, and determines the corresponding normal capacity parameter of each sample areas；
The capacity parameter model are as follows:
Wherein, a is the corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity parameter of the sample areas；N
For corresponding normal voltage difference or the quantity of normalized current difference；ΔUtiFor i-th in the normal voltage sequence of differences
The normal voltage difference；ΔItiFor i-th of normalized current difference in the normalized current sequence of differences；I be less than
Or the positive integer equal to N.
4. according to the described in any item power distribution station capacity recognition methods of Claims 2 or 3, which is characterized in that described to utilize institute
Stating capacity model of fit, multiple normal voltage differences corresponding to each sample areas and multiple normalized current differences carry out respectively
Processing, after determining the corresponding normal capacity parameter of each sample areas, the method also includes:
According to multiple normal capacity parameters and the capacity model of fit, capacity identification figure is obtained.
5. capacity recognition methods in power distribution station according to claim 1-3, which is characterized in that the acquisition is to be measured
Multiple voltage differences and the corresponding current differential of each voltage difference in first preset time period in region, comprising:
Acquire the multiple phase voltages and the corresponding phase current of each phase voltage in first preset time period in the region to be measured；
Each corresponding multiple phase voltages in region to be measured and multiple phase currents are handled respectively using difference computation model, really
Fixed each corresponding multiple voltage differences in region to be measured and multiple current differentials；
The difference computation model are as follows:
Wherein, Δ UtiFor i-th of voltage difference in voltage difference sequence；Uai, Ubi, UciThree obtained for i-th acquisition
Phase phase voltage；ΔItiFor i-th of current differential in current differential sequence；Iai, Ibi, IciThree obtained for i-th acquisition
Phase phase current；I is the positive integer less than or equal to N.
6. a kind of power distribution station capacity identification device, which is characterized in that be the transformer of Yyn0 type applied to group, comprising:
Acquisition module, the multiple voltage differences and each voltage difference in the first preset time period for acquiring region to be measured
Corresponding current differential；
Computing module, for multiple voltage differences and multiple current differentials to be input to the capacity pre-established fitting
In model, the corresponding capacity parameter in the region to be measured is obtained；
Processing module, for obtaining described to be measured according to the capacity parameter and preset multiple normal capacity parameters
The corresponding capacity in region；The capacity is for identifying load energy consumption condition corresponding with the region to be measured.
7. capacity identification device in power distribution station according to claim 6, which is characterized in that described device further include:
Sample collection module, for acquiring multiple sample areas groups corresponding multiple standard electrics in the second preset time period
Pressure difference and the corresponding normalized current difference of each normal voltage difference；Wherein, the sample areas group includes multiple samples
Region, each corresponding normal capacity of the sample areas group；
Sample process module, for utilizing the capacity model of fit multiple normal voltages corresponding to each sample areas respectively
Difference and multiple normalized current differences are handled, and determine the corresponding normal capacity parameter of each sample areas；Wherein:
The capacity model of fit are as follows:
ΔUt=a × Δ It+b
Wherein, Δ UtFor normal voltage sequence of differences, the normal voltage sequence of differences includes multiple normal voltage differences；
ΔItFor normalized current sequence of differences, the normalized current sequence of differences includes multiple normalized current differences；A is the sample
The corresponding normal capacity parameter in one's respective area；B is the corresponding non-capacity parameter of the sample areas.
8. capacity identification device in power distribution station according to claim 7, which is characterized in that the sample process module, packet
It includes:
Modeling unit, for being based on principle of least square method, obtaining corresponding capacity parameter mould according to the capacity model of fit
Type；
Capacity calculating unit, for utilizing the capacity parameter model multiple normal voltages corresponding to each sample areas respectively
Difference and multiple normalized current differences are handled, and determine the corresponding normal capacity parameter of each sample areas；
The capacity parameter model are as follows:
Wherein, a is the corresponding normal capacity parameter of the sample areas；B is the corresponding non-capacity parameter of the sample areas；N
For corresponding normal voltage difference or the quantity of normalized current difference；ΔUtiFor i-th in the normal voltage sequence of differences
The normal voltage difference；ΔItiFor i-th of normalized current difference in the normalized current sequence of differences；I be less than
Or the positive integer equal to N.
9. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute the method according to claim 1 to 5.
10. a kind of electronic equipment characterized by comprising processor, memory and bus, wherein
The processor and the memory complete mutual communication by the bus；
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to instruct energy
Enough execute the method according to claim 1 to 5.
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