CN110501566A - A method of for electric power signal wattless power measurement - Google Patents
A method of for electric power signal wattless power measurement Download PDFInfo
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- CN110501566A CN110501566A CN201810467013.8A CN201810467013A CN110501566A CN 110501566 A CN110501566 A CN 110501566A CN 201810467013 A CN201810467013 A CN 201810467013A CN 110501566 A CN110501566 A CN 110501566A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage
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Abstract
The invention discloses a kind of methods for electric power signal wattless power measurement, this method carries out wattless power measurement to electric power signal using small wave converting method, and the small wave converting method includes the processes such as data selection, address generation, data storage, filtering, clock transformation and coefficient storage；Small wave converting method of the invention is realized based on programmable logic device, and three layers of wavelet decomposition transform are realized on hardware, and computational accuracy of the present invention is high, and Measurement reliability is high.
Description
Technical field
The present invention relates to power system measuring fields, and in particular to a kind of side for electric power signal wattless power measurement
Method.
Background technique
Electric energy is as the widely used energy of people, the social life such as relationship between quality to industrial and agricultural production, people's lives
Every aspect.As technology develops, power electronic equipment is widely used, and there is a large amount of energy streams in electric power networks
Dynamic, the increase of idle work threatens the safety of electric power networks.It therefore, is highly important to the measurement of reactive power in power grid.
At this stage, for there are many kinds of the methods of wattless power measurement, one of the most common method is Fourier analysis method.
Fourier analysis is suitable for the signal of cyclic stationary, and for some non-stationary signals with catastrophe characteristics, resolution ratio is not high.
In electric power networks, there is distortion in voltage current waveform, cannot carry out well power measurement with Fourier analysis method at this time.
Summary of the invention
For above-mentioned technical problem of the existing technology, the invention proposes one kind to survey for electric power signal reactive power
The method of amount, the system are analyzed to realize nonsinusoidal signal wattless power measurement in electric power signal using wavelet decomposition transform.
The present invention is achieved through the following technical solutions:
A method of for electric power signal wattless power measurement, electric power signal is carried out using small wave converting method idle
Power measurement；The following steps are included:
Step 1 is selected using signal of the data selecting module to the original signal of input and last decomposition transform
Property output；
Step 2 is believed by the address that address generation module generates data storage to the data that data selecting module exports
Number；
Step 3 believes the data that data selecting module exports according to the address data memory of generation in data memory module
It number is stored and is read；
Step 4 is filtered by the data that filter module exports data memory module；
Step 5 generates the operating clock signals of wavelet coefficient memory module by clock conversion module；
Step 6 is stored and is read to wavelet coefficient using wavelet coefficient memory module.
Preferably, the small wave converting method is realized based on programmable logic device.
Preferably, the filtering includes low-pass filtering and high-pass filtering.
The present invention has the advantage that and the utility model has the advantages that
Method of the invention uses small wave converting method, and three layers of wavelet decomposition transform are realized on hardware, and computational accuracy is high,
Measurement reliability is high, it is easy to accomplish.
Detailed description of the invention
Attached drawing described herein is used to provide to further understand the embodiment of the present invention, constitutes one of the application
Point, do not constitute the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is wavelet transformation structure chart of the invention.
Fig. 2 is small wave converting method flow chart of the invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment and attached drawing, to this
Invention is described in further detail, and exemplary embodiment of the invention and its explanation for explaining only the invention, are not made
For limitation of the invention.
Referring to Fig.1, a kind of system for electric power signal wattless power measurement of the present embodiment, using Wavelet transform system
Wattless power measurement is carried out to electric power signal, Wavelet transform system described in the present embodiment is realized based on programmable logic device
, the Wavelet transform system includes: signal data selecting module A, address signal generation module B, signal data memory module
C, filter bank block D, work clock conversion module E and coefficient of wavelet decomposition memory module F.Wherein, address signal generates mould
Block B includes that read-write judgement and wavelet decomposition number judging submodule, address generate submodule, signal data memory module C
Memory space comprising being more than one times of original signal data, filter bank block D include low pass resolution filter Lo_D submodule
With high pass resolution filter Hi_D submodule, work clock conversion module E includes that clock division submodule and work clock select
Submodule, coefficient of wavelet decomposition memory module F include that approximation coefficient sub-module stored and detail coefficients sub-module stored two deposit
Store up module.Signal data selecting module A realizes signal data selection, judges wavelet decomposition transform number, exports original signal number
According to or last wavelet decomposition transform after signal data, receive the output data of coefficient of wavelet decomposition memory module F simultaneously
The data of output are sent into signal data memory module C.Address signal generation module B realizes the generation of address signal, according to reading
Difference, the difference of wavelet transformation number of write signal, generate different address signals, for storing to signal data, produce
Raw address signal is sent into signal data memory module C.The storage and reading of signal data memory module C realization signal data
Take, according to address signal generation module B generate address signal by signal data selecting module A data export carry out store or
It is to take out the data in signal data memory module C, the data of output are sent into filter bank block D.Filter bank block D
Realize the filtering of signal, the data taken out from signal data memory module C carry out low-pass filtering by filter group, to signal
And high-pass filtering, the data of the signal after signal and high-pass filtering after obtaining low-pass filtering, output are sent into coefficient of wavelet decomposition
In memory module F.Work clock conversion module E realizes the transformation of work clock, when the signal exported to filter group carries out down
Working clock frequency is the half of filter group clock frequency when sampling, when reading number into coefficient of wavelet decomposition memory module F
According to when clock frequency it is identical as filter group clock frequency, the clock signal of generation is sent into coefficient of wavelet decomposition memory module F.
Coefficient of wavelet decomposition memory module F realizes the storage and reading of wavelet coefficient, by work clock conversion module E output when storage
Signal is stored in coefficient of wavelet decomposition memory module F after down-sampling, is stored after the signal down-sampling that high-pass filter filters out
In detail coefficients sub-module stored, approximation coefficient sub-module stored is stored in after the signal down-sampling that low-pass filter filters out；It reads
The data stored in coefficient of wavelet decomposition memory module F are read when taking, by the detail coefficients in detail coefficients sub-module stored
It is exported simultaneously with the approximation coefficient of approximation coefficient sub-module stored, wherein approximation coefficient will also be input to signal data selecting module
In A.
The working principle of this system is as follows:
Signal data selecting module A is the original state to needing the signal data for carrying out wavelet decomposition transform to select
Under do not carried out wavelet decomposition transform, at this time signal data selecting module A export original signal data；When the too small wavelength-division of progress
When solution transformation, signal data selecting module A exports the signal data after last wavelet decomposition transform.
Address signal generation module B is the address signal for generating memory, in stored signal data selecting module A output
When M data, then last storage Signal Message Address regenerates M address to address signal；Reading signal data memory module C
In data when, the coefficient of filter is L, needs to export (M+L-1) a data, and address signal stores signal ground from the last time
The initial address of location regenerates a address (M+L-1).
Signal data memory module C is stored to the signal data of signal data selecting module A output, the letter of output
Input of the number as filter bank block D.According to the address signal that address signal generation module B is exported, accordingly
In location storing data or data are read from corresponding address.
Filter bank block D is filtered to the signal data of signal data memory module C output.Filter bank block
D includes low pass resolution filter Lo_D submodule and high pass resolution filter Hi_D submodule, defeated from signal data memory module C
N number of signal data out respectively obtains N number of filtered signal data after wave filter Lo_D and filter Hi_D.
Work clock conversion module E is the operating clock signals of coefficient of wavelet decomposition memory module F.It is decomposed according to Mallat
Algorithm,
And wherein, Cj+1, m are these
Approximation coefficient, the Dj+1 of secondary wavelet decomposition, m are the detail coefficients of this wavelet decomposition, Cj, and k is the close of last wavelet decomposition
It is the approximation coefficient kth that low-pass filter coefficients, h1 are high-pass filter coefficient, k indicates last wavelet decomposition like coefficient, h0
Position, m indicate m of this coefficient of wavelet decomposition.So the output data of filter bank block D is stored in wavelet decomposition system
When in number memory module F, when the working clock frequency of coefficient of wavelet decomposition memory module F should be the work of filter bank block D
The half of clock frequency realizes down-sampling process after filtering.When reading the data in coefficient of wavelet decomposition memory module F, then not
Changed with being made to operating clock signals frequency, it is identical as the working clock frequency of filter bank block D.
Coefficient of wavelet decomposition memory module F is the storage and reading to wavelet coefficient.Under the signal that high-pass filter filters out
It is stored in detail coefficients sub-module stored after sampling, approximation coefficient storage is stored in after the signal down-sampling that low-pass filter filters out
Submodule.According to Mallat algorithm, this layer of approximation coefficient, detail coefficients are to do wavelet decomposition transform to upper one layer of approximation coefficient to obtain
It arrives, so the signal data in approximation coefficient memory needs to be input in signal data selecting module A.
Referring to Fig. 2, it is based on above system, the present embodiment also proposes a kind of side for electric power signal wattless power measurement
Method, this method is realized using small wave converting method carries out wattless power measurement to electric power signal, and the small wave converting method includes
Following steps:
Step 1, the signal data of input is selected, signal data to be processed needed for exporting.
Signal data selecting module A judges whether system carried out wavelet decomposition transform, if not carrying out too small wavelength-division
Solution, which converts or be completed three layers of wavelet decomposition transform, then indicates that the marking signal of wavelet decomposition transform number is " 00 ", exports at this time
It is original signal data；If the marking signal for indicating wavelet decomposition transform number is not " 00 ", i.e. wavelet transformation has carried out
It crosses wavelet decomposition transform and does not complete three layers of wavelet decomposition transform, exporting at this time is that the approximate of last wavelet decomposition transform is
Number signal data.
Step 2, the address signal of signal data memory module is generated.
2.1) judge whether system carried out resetting operation, if system reset, address signal zeros data at this time.
2.2) according to the value of read-write, judging system at this time is to carry out read operation to signal data memory module or write
Operation.If the value of read-write is ' 1 ', system is to carry out read operation to signal data memory module at this time, it is known that filtering
Device coefficient is L, is generated and a address (M+L-1) since this initial address；If the value of read-write is ' 0 ', it is
System is to carry out write operation to signal data memory module at this time, is generated and signal data selecting module since this initial address
Export the identical M address of number.
2.3) initial address position is determined according to the marking signal of expression wavelet decomposition transform number, reserves address sky
Between.Due to wavelet decomposition transform of every progress, data amount check reduces half, if the ground that last wavelet decomposition transform is reserved
Location space is N, then the reserved address space of this wavelet decomposition transform is N/2.
Step 3, signal data memory module is to needing the signal data for carrying out wavelet decomposition transform to be stored and read.
According to read-write and address signal, to needing the signal data for carrying out wavelet decomposition transform to be accessed and read
It takes.When the value of read-write is ' 1 ', read operation is carried out；When the value of read-write is ' 0 ', write operation is carried out.
Step 4, low-pass filtering and high-pass filtering are carried out to the signal data of signal data memory module output.
Step 5, the work clock of coefficient of wavelet decomposition memory module is converted.
5.1) frequency-separating transform, the new work clock of generation are carried out with the clock signal of frequency to the work clock with filter group
Frequency is original half.
5.2) work clock is selected.According to the value of read-write, judging system at this time is to coefficient of wavelet decomposition
Memory module carries out read operation or write operation.When the value of read-write be ' 1 ' when, carry out read operation, export at this time to filter
Work clock of the work clock of wave device group with frequency；When the value of read-write is ' 0 ', write operation is carried out, is exported at this time 5.1)
The new work clock of middle generation.
Step 6, coefficient of wavelet decomposition memory module is stored and is read to wavelet coefficient.
6.1) wavelet coefficient is stored using the work clock in step 5, the value of read-write is ' 0 ' at this time, will
It is stored in detail coefficients memory by the signal data of high pass resolution filter Hi_D, will pass through low pass resolution filter Lo_D's
Signal data is stored in approximation coefficient memory.
6.2) signal data in wavelet coefficient memory module is exported using the work clock in step 5, is read and write at this time
The value of signal is ' 1 '.Wherein, the approximation coefficient in approximation coefficient memory is input to signal data selection mould while output
In block.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (3)
1. a kind of method for electric power signal wattless power measurement, which is characterized in that believed using small wave converting method electric power
Number carry out wattless power measurement；The following steps are included:
It is defeated to carry out selectivity using signal of the data selecting module to the original signal of input and last decomposition transform for step 1
Out；
Step 2 generates the address signal of data storage by address generation module to the data that data selecting module exports；
Step 3, the data that data selecting module is exported in data memory module according to generation address data memory signal into
Row is stored and is read；
Step 4 is filtered by the data that filter module exports data memory module；
Step 5 generates the operating clock signals of wavelet coefficient memory module by clock conversion module；
Step 6 is stored and is read to wavelet coefficient using wavelet coefficient memory module.
2. a kind of method for electric power signal wattless power measurement according to claim 1, which is characterized in that described small
Wave conversion method is realized based on programmable logic device.
3. a kind of method for electric power signal wattless power measurement according to claim 1, which is characterized in that the filter
Wave includes low-pass filtering and high-pass filtering.
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| CN201810467013.8A CN110501566A (en) | 2018-05-16 | 2018-05-16 | A method of for electric power signal wattless power measurement |
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| CN201810467013.8A CN110501566A (en) | 2018-05-16 | 2018-05-16 | A method of for electric power signal wattless power measurement |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI797835B (en) * | 2021-07-29 | 2023-04-01 | 大陸商昂寶電子（上海）有限公司 | Power signal detection circuit and method |
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2018
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI797835B (en) * | 2021-07-29 | 2023-04-01 | 大陸商昂寶電子（上海）有限公司 | Power signal detection circuit and method |
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Application publication date: 20191126 |