CN104407198A - Method and system for detecting SAG signal in DVR device - Google Patents
Method and system for detecting SAG signal in DVR device Download PDFInfo
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- CN104407198A CN104407198A CN201410709842.4A CN201410709842A CN104407198A CN 104407198 A CN104407198 A CN 104407198A CN 201410709842 A CN201410709842 A CN 201410709842A CN 104407198 A CN104407198 A CN 104407198A
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Abstract
The invention provides a method for detecting an SAG signal in a DVR (Discharge Voltage Regulator) device. The method comprises the following steps: a, obtaining the number of sampling points according to preset sampling frequency and power frequency cycle, and setting a cyclic buffer region with the length equal to the number of sampling points; b, obtaining sampling values corresponding to the sampling points in the power frequency cycle and storing the sampling values in the cyclic buffer region according to a sampling time sequence to form an analytic window; c, when the sampling time of a next sampling point is reached, storing the sampling value of the point in the window, discarding the sampling value with the earliest sampling time in the window, and updating; d, performing wavelet analysis on each sampling value in the updated window to obtain a modulus maximum value of the point; e, judging whether the modulus maximum value is more than 0 or not; f, if so, determining that the SAG signal exists and the sampling time of the point is the starting moment of the SAG signal, and otherwise, returning to the step c. By implementing the method, the starting moment and amplitude of the SAG signal can be detected in real time and the purpose of reducing SAG fault detection time delay in the DVR device can be achieved.
Description
Technical field
The present invention relates to high-voltage and high-power power electronic device SAG detection technique field, particularly relating to a kind of method and system for detecting SAG signal in DVR device.
Background technology
Along with DVR (Discharge Voltage Regulator, discharge voltage regulator) development of technology, DVR fault detection technique there has also been and develops on a large scale very much, wherein, SAG (voltage dip) fault is one of the most serious fault, and therefore the detection of SAG signal is the basis of DVR technology.In the process of SAG input, when electrical network generation asymmetrical three-phase fault, asymmetrical three-phase voltage is after DQ conversion (being usually also called positive sequence synchronous rotating angle method), all can there is saltus step in the DC quantity D converted to by positive sequence fundamental component and the twice fundamental frequency AC compounent Q converted to by fundamental frequency negative sequence component, but in order to obtain stable detection limit, need carry out by devices such as low-pass filters the twice fundamental frequency AC compounent Q that filtering converts to by fundamental frequency negative sequence component.The shortcomings such as according to the relevant regulations in industry standard, the DVR response time should be less than 5ms, but current many DVR fault detection methods, and ubiquity postpones detection time, calculated amount is large.
Summary of the invention
Embodiment of the present invention technical matters to be solved is, a kind of method and system for detecting SAG signal in DVR device is provided, based on the wavelet analysis method of increment type, SAG signal initial time and amplitude can be detected in real time, reach and reduce the object that SAG failure detection time in DVR device postpones.
In order to solve the problems of the technologies described above, embodiments provide a kind of method for detecting SAG signal in DVR device, described method comprises:
The sample frequency that a, basis are preset and power frequency period, obtain the sampled point number that power network signal is identical on each power frequency period, and arrange the cyclic buffer that a length equals described sampled point number;
B, obtain sampled value that on a power frequency period, each sampled point is corresponding after, the described each sampled value got is stored according to sampling time sequencing in described cyclic buffer, forms an analysis window of sliding;
C, when the sampling time of next sampled point arrives, obtain the sampled value of next sampled point described and be stored in described analysis window, and abandoning in described analysis window after sampling time sampled value the earliest, upgrading described analysis window;
D, each sampled value in the analysis window after described renewal is carried out wavelet analysis, obtain the modulus maximum that next sampled point described is corresponding on its sampling time;
Whether the modulus maximum obtained described in e, judgement is greater than 0;
F if then determine that SAG signal appears in electrical network, and the sampling time determining next sampled point described be the initial time occurring SAG signal; If not, then step c is returned.
Wherein, described method comprises further:
Obtain original voltage magnitude that the last sampled point of the current voltage amplitude of described electrical network on the initial time occurring SAG signal and described initial time is corresponding, and using the controling parameter of the difference between the described current voltage amplitude that gets and original voltage magnitude as DVR device voltage compensation.
Wherein, described sample frequency is 6.4KHz, and described power frequency period is 20ms.
Wherein, described sample frequency is 12.8KHz, and described power frequency period is 20ms.
The embodiment of the present invention additionally provides a kind of system for detecting SAG signal in DVR device, and described system comprises:
Cyclic buffer unit is set, for according to the sample frequency preset and power frequency period, obtains the sampled point number that power network signal is identical on each power frequency period, and the cyclic buffer that a length equals described sampled point number is set;
Sampled value stores and sequencing unit, after obtaining the sampled value that on a power frequency period, each sampled point is corresponding, the described each sampled value got is stored according to sampling time sequencing in described cyclic buffer, forms an analysis window of sliding;
Sampled value updating block, for when the sampling time of next sampled point arrives, obtains the sampled value of next sampled point described and is stored in described analysis window, and to abandon in described analysis window after sampling time sampled value the earliest, upgrades described analysis window;
Wavelet analysis unit, for each sampled value in the analysis window after described renewal is carried out wavelet analysis, obtains the modulus maximum that next sampled point described is corresponding on its sampling time;
Whether judging unit, be greater than 0 for the modulus maximum obtained described in judging;
Determine SAG signal element, for determining that SAG signal appears in electrical network, and the sampling time determining next sampled point described be the initial time occurring SAG signal.
Wherein, described system also comprises voltage dip amplitude unit, voltage dip amplitude unit for original voltage magnitude corresponding to the last sampled point that obtains the current voltage amplitude of described electrical network on the initial time occurring SAG signal and described initial time, and using the controling parameter of the difference between the described current voltage amplitude that gets and original voltage magnitude as DVR device voltage compensation.
Wherein, described sample frequency is 6.4KHz, and described power frequency period is 20ms.
Wherein, described sample frequency is 12.8KHz, and described power frequency period is 20ms.
Implement the embodiment of the present invention, there is following beneficial effect:
In embodiments of the present invention, owing to setting up for store sample value and there is the cyclic buffer of regular length, when the sampling time of each new sampled point arrives, each only renewal data in this cyclic buffer also carry out wavelet analysis, detect SAG signal initial time and amplitude, and calculating need not be re-started to other sampled value being present in cyclic buffer, thus can computing time be saved, make the wavelet analysis method based on this increment type, SAG signal initial time and amplitude can be detected in real time, reach and reduce the object that SAG failure detection time in DVR device postpones.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, the accompanying drawing obtaining other according to these accompanying drawings still belongs to category of the present invention.
The process flow diagram of the method for detecting SAG signal in DVR device that Fig. 1 provides for the embodiment of the present invention;
The structural representation of the system for detecting SAG signal in DVR device that Fig. 2 provides for the embodiment of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail.
As shown in Figure 1, be a kind of method for detecting SAG signal in DVR device that the embodiment of the present invention provides, described method comprises:
The sample frequency that step S101, basis are preset and power frequency period, obtain the sampled point number that power network signal is identical on each power frequency period, and arrange the cyclic buffer that a length equals described sampled point number;
Detailed process is, the sample frequency of power network signal can be set to 6.4KHz, power frequency period is set to 20ms or sample frequency is set to 12.8KHz, power frequency period is set to the particular values such as 20ms, make the sampled point number in each power frequency period 20ms be the integral number power 128 or 256 of 2.Because default sample frequency and power frequency period are once be fixed up, the sampled point number that power network signal is obtained on this power frequency period is identical, and constructing the cyclic buffer that a length equals monocycle sampled point number, the length as cyclic buffer is 128 or 256.
Step S102, obtain sampled value that on a power frequency period, each sampled point is corresponding after, the described each sampled value got is stored according to sampling time sequencing in described cyclic buffer, forms an analysis window of sliding;
Detailed process is, extract the sampled value that on a power frequency period 20ms, each sampled point is corresponding, it can be current power frequency period, also can above power frequency period, these sampled values (128 or 256) are stored according to the mode of sampling time sequencing in this cyclic buffer, thus forms an analysis window that sampled value sequence is slided.Be understandable that, the analysis window of slip is the mode of first in first out in computer programs process, improves the treatment effeciency of computing machine, saves the processing time.
Step S103, when the sampling time of next sampled point arrives, obtain the sampled value of next sampled point described and be stored in described analysis window, and abandoning in described analysis window after sampling time sampled value the earliest, upgrading described analysis window;
Detailed process is, owing to being current pending data in analysis window, if there is new data input, will covers original data, thus form circular buffering.Therefore, when the sampling time of next sampled point arrives, be namely that each new sampled point arrives for analysis window, the sampled value obtaining this new sampled point can be stored in analysis window, and abandon in analysis window after sampling time sampled value the earliest, replacement analysis window.Be understandable that, the sampled value of new sampled point is also store according to the mode of sampling time sequencing.
Step S104, each sampled value in the analysis window after described renewal is carried out wavelet analysis, obtain the modulus maximum that next sampled point described is corresponding on its sampling time;
Detailed process is, each sampled value in the analysis window after renewal is carried out wavelet analysis, obtains the modulus maximum that next sampled point described is corresponding on its sampling time.Only have data due to what upgrade in analysis window at every turn, as long as so carry out local updating according to the data dependence relation in wavelet analysis process, just can obtain the wavelet analysis result of whole cyclic buffer internal data.Other data points, owing to not upgrading, so need not recalculate, thus can save calculated amount, acquisition analysis result at a high speed.Equally, the inverse transformation process of wavelet analysis takes same local updating strategy, only needs to carry out upgrading the wavelet inverse transformation calculating and just can complete for affected numerical point.The saving of calculated amount, the device that this algorithm is restricted at computational resources such as DSP performs and becomes possibility.
The key of wavelet transformation is the determination of morther wavelet Ψ (t) (also claiming wavelet), Ψ (t) ∈ L
2(R), R is set of real numbers, L
2(R) be real number field space, the Wavelet transform type of Ψ (t) is:
In formula (1), a, b ∈ R, and a ≠ 0, Ψ
a,bt () is a wavelet sequence, a is contraction-expansion factor, and b is shift factor.If when input function is f (t), then wavelet transformation expression formula is:
Daubechies small echo is the wavelet function that world-renowned French wavelet analysis scholar Inrid Daubechies constructs, and be abbreviated as dbN, N is the exponent number of small echo.Small echo Ψ (t) is (2N-1) with the Support in scaling function Φ (t), and the vanishing moment of Ψ (t) is N.Db small echo mathematic(al) representation:
In formula (3),
for binomial coefficient, then have:
In formula (4),
Daubechies small echo has following characteristics:
1) be finite support in time domain, i.e. Ψ (t) limited length.
2) N rank zero points is had at ω=0 place at frequency domain Ψ (ω).
3) Ψ (t) and its orthogonal normalizing of integer displacement, i.e. ∫ Ψ (t) Ψ (t-k) dt=δ k.
4) wavelet function Ψ (t) can be obtained by so-called " scaling function " Φ (t).Scaling function Φ (t) is lowpass function, limited length, and supporting domain is in t=0 ~ (2N-1) scope.
The essence of wavelet transformation is the convolution of signal and wavelet basis, and being projected on different wavelet scale by signal obtains the time-frequency characteristics of signal, but uses different wavelet basiss, and just have different time-frequency characteristics, namely wavelet basis is all selective.
Therefore, according to wavelet modulus maxima principle, will there is wavelet coefficient modulus maximum at singular point place in the wavelet transformation of input signal, first select wavelet modulus maxima under each yardstick during calculating.
Whether the modulus maximum obtained described in step S105, judgement is greater than 0; If so, then next step S106 is performed; If not, then step S103 is returned;
Detailed process is, length due to history cyclic buffer is chosen as a power frequency period, so when power network signal is not undergone mutation time, the sampling number newly entered has great correlativity according to contiguous data, and in wavelet transform result, large-scale change can not occur the energy component of each frequency range.Same principle, if power network signal there occurs distortion, the sampled point so newly entered will lose the correlativity with proximity data, and obvious component disturbance will appear in wavelet transformation later result at once.Therefore, in testing process, can find that the voltage detected is standard sine wave, the modulus maximum of its correspondence is zero, and the modulus maximum corresponding to sine wave containing voltage dip starting point (namely occurring SAG signal) can show saltus step in voltage dip starting point, the i.e. modulus maximum >0 that solves of voltage dip starting point, if there is saltus step in the modulus maximum corresponding to sine wave, then perform step S106, if there is not saltus step in the modulus maximum corresponding to sine wave, then return step S103, again whether the modulus maximum detected corresponding to sine wave there is saltus step.
Step S106, determine that SAG signal appears in electrical network, and the sampling time determining next sampled point described is the initial time occurring SAG signal.
Detailed process is, during the modulus maximum >0 that new sampled point solves, obvious component disturbance will be there is at once in the later result of the sampled point wavelet transformation newly entered, just can there is the criterion of distortion as electrical network parameter in this disturbance, real-time report goes out SAG signal, thus can determine that SAG signal appears in electrical network, obtaining this new sampled point sampling time is the initial time occurring SAG signal.
The moment that disturbance occurs, the wavelet inverse transformation result comparison that sampled value and historical data send, utilize unbalanced network voltage just, negative sequence component is separated, eliminate the disturbance that negative sequence component detects Voltage Drop, the amplitude that electrical network parameter changes can be drawn, as the controling parameter of DVR compensation equipment, therefore described method comprises further: obtain original voltage magnitude that the last sampled point of the current voltage amplitude of electrical network on the initial time occurring SAG signal and initial time is corresponding, and using the controling parameter of the difference between the current voltage amplitude that gets and original voltage magnitude as DVR device voltage compensation.
As shown in Figure 2, be a kind of system for detecting SAG signal in DVR device that the embodiment of the present invention provides, described system comprises:
Cyclic buffer unit 110 is set, for according to the sample frequency preset and power frequency period, obtains the sampled point number that power network signal is identical on each power frequency period, and the cyclic buffer that a length equals described sampled point number is set;
Sampled value stores and sequencing unit 120, after obtaining the sampled value that on a power frequency period, each sampled point is corresponding, the described each sampled value got is stored according to sampling time sequencing in described cyclic buffer, forms an analysis window of sliding;
Sampled value updating block 130, for when the sampling time of next sampled point arrives, obtain the sampled value of next sampled point described and be stored in described analysis window, and abandoning in described analysis window after sampling time sampled value the earliest, upgrading described analysis window;
Wavelet analysis unit 140, for each sampled value in the analysis window after described renewal is carried out wavelet analysis, obtains the modulus maximum that next sampled point described is corresponding on its sampling time;
Whether judging unit 150, be greater than 0 for the modulus maximum obtained described in judging;
Determine SAG signal element 160, for determining that SAG signal appears in electrical network, and the sampling time determining next sampled point described be the initial time occurring SAG signal.
Wherein, described system also comprises voltage dip amplitude unit 170, voltage dip amplitude unit 170 for original voltage magnitude corresponding to the last sampled point that obtains the current voltage amplitude of described electrical network on the initial time occurring SAG signal and described initial time, and using the controling parameter of the difference between the described current voltage amplitude that gets and original voltage magnitude as DVR device voltage compensation.
Wherein, described sample frequency is 6.4KHz, and described power frequency period is 20ms; Or described sample frequency is 12.8KHz, described power frequency period is 20ms.
Implement the embodiment of the present invention, there is following beneficial effect:
In embodiments of the present invention, owing to setting up for store sample value and there is the cyclic buffer of regular length, when the sampling time of each new sampled point arrives, each only renewal data in this cyclic buffer also carry out wavelet analysis, detect SAG signal initial time and amplitude, and calculating need not be re-started to other sampled value being present in cyclic buffer, thus can computing time be saved, make the wavelet analysis method based on this increment type, SAG signal initial time and amplitude can be detected in real time, reach and reduce the object that SAG failure detection time in DVR device postpones.
It should be noted that in said system embodiment, each included system unit is carry out dividing according to function logic, but is not limited to above-mentioned division, as long as can realize corresponding function; In addition, the concrete title of each functional unit, also just for the ease of mutual differentiation, is not limited to protection scope of the present invention.
One of ordinary skill in the art will appreciate that all or part of step realized in above-described embodiment method is that the hardware that can carry out instruction relevant by program has come, described program can be stored in a computer read/write memory medium, described storage medium, as ROM/RAM, disk, CD etc.
Above disclosedly be only present pre-ferred embodiments, certainly can not limit the interest field of the present invention with this, therefore according to the equivalent variations that the claims in the present invention are done, still belong to the scope that the present invention is contained.
Claims (8)
1. for detecting a method for SAG signal in DVR device, it is characterized in that, described method comprises:
The sample frequency that a, basis are preset and power frequency period, obtain the sampled point number that power network signal is identical on each power frequency period, and arrange the cyclic buffer that a length equals described sampled point number;
B, obtain sampled value that on a power frequency period, each sampled point is corresponding after, the described each sampled value got is stored according to sampling time sequencing in described cyclic buffer, forms an analysis window of sliding;
C, when the sampling time of next sampled point arrives, obtain the sampled value of next sampled point described and be stored in described analysis window, and abandoning in described analysis window after sampling time sampled value the earliest, upgrading described analysis window;
D, each sampled value in the analysis window after described renewal is carried out wavelet analysis, obtain the modulus maximum that next sampled point described is corresponding on its sampling time;
Whether the modulus maximum obtained described in e, judgement is greater than 0;
F if then determine that SAG signal appears in electrical network, and the sampling time determining next sampled point described be the initial time occurring SAG signal; If not, then step c is returned.
2. the method for claim 1, is characterized in that, described method comprises further:
Obtain original voltage magnitude that the last sampled point of the current voltage amplitude of described electrical network on the initial time occurring SAG signal and described initial time is corresponding, and using the controling parameter of the difference between the described current voltage amplitude that gets and original voltage magnitude as DVR device voltage compensation.
3. the method for claim 1, is characterized in that, described sample frequency is 6.4KHz, and described power frequency period is 20ms.
4. the method for claim 1, is characterized in that, described sample frequency is 12.8KHz, and described power frequency period is 20ms.
5. for detecting a system for SAG signal in DVR device, it is characterized in that, described system comprises:
Cyclic buffer unit is set, for according to the sample frequency preset and power frequency period, obtains the sampled point number that power network signal is identical on each power frequency period, and the cyclic buffer that a length equals described sampled point number is set;
Sampled value stores and sequencing unit, after obtaining the sampled value that on a power frequency period, each sampled point is corresponding, the described each sampled value got is stored according to sampling time sequencing in described cyclic buffer, forms an analysis window of sliding;
Sampled value updating block, for when the sampling time of next sampled point arrives, obtains the sampled value of next sampled point described and is stored in described analysis window, and to abandon in described analysis window after sampling time sampled value the earliest, upgrades described analysis window;
Wavelet analysis unit, for each sampled value in the analysis window after described renewal is carried out wavelet analysis, obtains the modulus maximum that next sampled point described is corresponding on its sampling time;
Whether judging unit, be greater than 0 for the modulus maximum obtained described in judging;
Determine SAG signal element, for determining that SAG signal appears in electrical network, and the sampling time determining next sampled point described be the initial time occurring SAG signal.
6. system as claimed in claim 5, it is characterized in that, described system also comprises voltage dip amplitude unit, voltage dip amplitude unit for original voltage magnitude corresponding to the last sampled point that obtains the current voltage amplitude of described electrical network on the initial time occurring SAG signal and described initial time, and using the controling parameter of the difference between the described current voltage amplitude that gets and original voltage magnitude as DVR device voltage compensation.
7. system as claimed in claim 5, it is characterized in that, described sample frequency is 6.4KHz, and described power frequency period is 20ms.
8. system as claimed in claim 5, it is characterized in that, described sample frequency is 12.8KHz, and described power frequency period is 20ms.
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