CN109164294A - A kind of adaptive voltage in DVR falls detection method - Google Patents

A kind of adaptive voltage in DVR falls detection method Download PDF

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Publication number
CN109164294A
CN109164294A CN201811037294.XA CN201811037294A CN109164294A CN 109164294 A CN109164294 A CN 109164294A CN 201811037294 A CN201811037294 A CN 201811037294A CN 109164294 A CN109164294 A CN 109164294A
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voltage
function
voltage signal
matrix
detection method
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CN201811037294.XA
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伦恒星
房明硕
王文吉
曹以龙
江友华
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Shanghai University of Electric Power
University of Shanghai for Science and Technology
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Shanghai University of Electric Power
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
    • G01R19/252—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques using analogue/digital converters of the type with conversion of voltage or current into frequency and measuring of this frequency

Abstract

The present invention relates to a kind of adaptive voltages in DVR to fall detection method, comprising the following steps: step S01: acquiring and keeps the voltage signal of three-phase in power grid；Step S02: voltage signal decompose using HHT algorithm and transformation obtains instantaneous frequency information and redefines sampling precision；Step S03: it is detected using the feature that improved LES filter carries out amplitude and phase to voltage signal.Compared with prior art, the present invention can greatly improve the speed and accuracy of detection, can accomplish being used for quickly detecting to network voltage without time delay substantially, and adapt to extreme voltage distortion environment, error is small, and precision is high, meets the quick and precisely property requirement of DVR well.

Description

A kind of adaptive voltage in DVR falls detection method
Technical field
The present invention relates to a kind of improved Voltage Drop rapid detection method, more particularly, to it is a kind of in DVR from Adapt to method for detecting voltage drop.
Background technique
As commercial scale expands the raising with technology, the electrical equipment and highly sophisticated device of many large sizes access electricity Net, along with advocating for new energy power generation grid-connection, various photovoltaics, HYDROELECTRIC ENERGY access power grid, cause existing city power distribution wire side Face bigger difficulty and challenge, it is difficult to persistently provide the power supply of high quality.
In the power system, the compensation for the problems such as equipment such as DVR, APF can be realized to voltage dip, and the premise item compensated Part is quickly to track to Problem of Voltage Temporary-Drop, and current main detection method has virtual value calculating method, defect electricity Platen press, dq0 converter technique based on instantaneous reactive power theory etc., but be still limited, wavelet transformation can convert the signal into Time-frequency domain can show the Time-Frequency Information of signal in detail, be suitble to analyze quick variation distorted waveform problem, however The selection of wavelet basis seriously affects the analysis of signal as a result, there is presently no a unified standards in this direction.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide it is a kind of in DVR from Method for detecting voltage drop is adapted to, temporarily drops problem for quickly detecting network voltage.This method passes through Hilbert xanthochromia first It changes (HHT) and Voltage Drop signal is decomposed and converted, obtain its instantaneous frequency information, realize to next periodic sampling interval Feedback, there is adaptivity, then carry out the feature inspection of amplitude and phase to voltage signal using improved LES filter Survey, be finally applied in DVR, emulation with the experiment proves that this method quick and precisely property.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of adaptive voltage in DVR falls detection method, which comprises the following steps:
Step S01: acquiring and keeps the voltage signal of three-phase in power grid；
Step S02: voltage signal decompose using HHT algorithm and transformation obtains instantaneous frequency information and redefines Sampling precision；
Step S03: it is detected using the feature that improved LES filter carries out amplitude and phase to voltage signal.
Preferably, the step S02 include it is following step by step:
Step S021: the voltage letter after converting is obtained after the mains voltage signal of acquisition is carried out EMD empirical mode decomposition Number, the voltage signal after the conversion are as follows:
In formula, s (t) is expressed as voltage signal, mJ(t) IMF function, r are expressed asn(t) it is expressed as survival function, n and J are equal For natural number；
Step S022: HT decomposition is done into all IMF functions part in the voltage signal after conversion, obtains plural form Analytic signal zi(t), the analytic signal zi(t) are as follows:
In formula, H (miIt (t)) is the Hilbert transform of each rank IMF function, miIt (t) is each rank IMF function, n and i are nature Number；
Step S023: to analytic signal zi(t) it is calculated and obtains instantaneous frequency information and other relevant informations；
Step S024: the sampling precision redefined is obtained according to instantaneous frequency information.
Preferably, the EMD empirical mode decomposition, comprising the following steps:
Step 1: finding out all local extremums in voltage signal s (t) function of acquisition；
Step 2: finding out envelope up and down using cubic spline function；
Step 3: obtaining envelope mean value up and down；
Step 4: new sequence of values being obtained according to all local extremums and upper and lower envelope mean value and is judged；
Step 5: judging whether new sequence of values is IMF function component, if the determination result is YES, by the voltage signal acquired S (t) function and IMF function component obtain survival function component, if judging result be it is no, to next acquisition since step 1 Voltage signal s (t) function carry out EMD empirical mode decomposition again；
Step 6: monotonic function judgement being carried out for survival function component, if the determination result is YES, then the survival function divides Amount for overlapping portion in finally determining voltage signal s (t) survival function component, if judging result be it is no, by the remnants letter Number component re-starts EMD empirical mode decomposition as the voltage signal s (t) newly replaced since step 1.
Preferably, the instantaneous frequency information and other relevant informations are as follows:
Wherein, aiIt (t) is magnitude function,For phase function, fiIt (t) is instantaneous frequency function.
Preferably, the instantaneous frequency that the sampling precision redefined is 4 times.
Preferably, the step S03 include it is following step by step:
Step S031: the electricity of different moments is calculated for the voltage signal input minimum variance LES filter after sampling The fundametal compoment and this process of harmonic component of pressure acquisition data construct matrix, and the feature by the way that amplitude and phase is calculated is believed Breath, wherein the building matrix are as follows:
Ua=C × X
Wherein:
Ua=[u (t) u (t- Δ t) ... u (t- (N-1) Δ t)]T
X=[ka sin(θa) ka cos(θa)]T=[X1 X2]T
In formula, matrix UaFor the voltage acquisition data of different moments, N is natural number, θaFor voltage-phase, kaFor voltage amplitude Value, t are the time, and Δ t is transformation period, ω0For electric voltage frequency, Matrix C is system parameter, and matrix X is voltage fundamental and harmonic wave Jacobian matrix,
The characteristic information of the amplitude and phase are as follows:
θa=arctan (X1/X2)
In formula, X1And X2For the element in matrix X；
Step S032: algorithm improvement is carried out for minimum variance LES electric-wave filter matrix calculating process.
Preferably, the algorithm improvement are as follows: define matrix M and N, make finally to need the part iterated to calculate to be only N square Battle array, wherein the Metzler matrix are as follows:
M=[CTC]-1,
The N matrix are as follows:
Preferably, when this method is applied to DVR, cooperate minimal energy compensation strategy and bicyclic PR control strategy inverse to control Become the PWM output of device.
Preferably, the minimal energy compensation strategy are as follows:
When grid voltage sags amplitude is less than 10%, dynamic electric voltage recovery device output reactive power works as Voltage Drop When amplitude reaches 20%~50%, dynamic electric voltage recovery device active power of output.
Preferably, the bicyclic PR control strategy are as follows:
The controller that outer voltage uses is ratio resonant controller, and the controller that current inner loop uses is proportion adjustment control Device processed.
Compared with prior art, the invention has the following advantages that
It (1), can by obtaining instantaneous frequency using HHT algorithm decomposition conversion voltage signal and redefining sampling precision Accomplish being used for quickly detecting to network voltage without time delay substantially, and adapt to extreme voltage distortion environment, error is small, precision Height meets the quick and precisely property requirement of DVR well.
(2) traditional Time-Frequency Analysis Method, which is all based on, improves on the basis of Fourier transformation and development, can not get rid of flat The constraint of steady signal, and the limitation that HHT Time-frequency Analysis gets rid of Fourier transformation has very well non-linear, non-stationary signal Analytical effect, its clearly time-frequency characteristics can be obtained.
(3) reduced through setting minumum variance filter and in practical DSP calculating by defining Metzler matrix and N matrix Calculation amount accelerates DSP calculating speed.
Detailed description of the invention
Fig. 1 is DVR Typical Disposition structure chart of the present invention；
Fig. 2 is HHT-EMD decomposition algorithm flow chart of the present invention；
Fig. 3 is combination voltage detection algorithm block diagram of the present invention；
Fig. 4 is minimal energy compensation schematic diagram of the present invention, wherein figure (4a) is pure reactive compensation, and figure (4b) has for minimum Function compensation；
Fig. 5 is Compound Control Strategy schematic diagram of the present invention；
Fig. 6 is idiographic flow schematic diagram of the invention；
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiment is a part of the embodiments of the present invention, rather than whole embodiments.Based on this hair Embodiment in bright, those of ordinary skill in the art's every other reality obtained without making creative work Example is applied, all should belong to the scope of protection of the invention.
Embodiment
It is as shown in Figure 1 the installation site and Typical Disposition structure chart of DVR in modern power network, including, fairing, VSI Device and RLC combinational circuit are illustrated in figure 6 the tool that a kind of adaptive voltage in DVR of the present invention falls detection method Body flow diagram, comprising the following steps: step S01: acquiring and keeps the voltage signal of three-phase in power grid；Step S02: it utilizes HHT algorithm decompose to voltage signal and transformation obtains instantaneous frequency information and redefines sampling precision；Step S03: benefit It is detected with the feature that improved LES filter carries out amplitude and phase to voltage signal.
The step S02 is specifically included: for HHT algorithm to the adaptively sampled process analysis procedure analysis of voltage signal, the algorithm is main It is divided into two parts of empirical mode decomposition (EMD) and Hilbert transform (HT), the part EMD is first by given mains voltage signal It is decomposed to obtain a series of intrinsic mode function (IMF), after EMD is decomposed, voltage signal s (t) is represented by a series of IMF Function m (t) is superimposed with survival function r's (t), and expression formula is as follows:
Wherein, n and J is natural number；
Then HT decomposition is done to each m (t) respectively, the analytic signal z of plural form can be obtainedi(t):
H (m in formulai(t)) it is the Hilbert transform of each rank IMF function, i is natural number, and further calculating can obtain:
Wherein, aiIt (t) is magnitude function,For phase function, fiIt (t) is instantaneous frequency function；
HHT transformation is carried out to each IMF function, the Hilbert spectrum of signal is obtained, instantaneous frequency is calculated by formula (5) Rate, and then by the sampling time interval of feedback adjustment signal, in conjunction with sampling thheorem and engineering practice it is found that with instantaneous frequency 4 The unification, it can be achieved that sampling precision and rapidity is sampled again, is illustrated in figure 2 the algorithm and specific flow chart of EMD decomposition, It is specifically included:
Step 1: finding out all local extremums in voltage signal s (t) function of acquisition；
Step 2: finding out envelope up and down using cubic spline function；
Step 3: obtaining envelope mean value up and down；
Step 4: new sequence of values being obtained according to all local extremums and upper and lower envelope mean value and is judged；
Step 5: judging whether new sequence of values is IMF function component, if the determination result is YES, by the voltage signal acquired S (t) function and IMF function component obtain survival function component, if judging result be it is no, to next acquisition since step 1 Voltage signal s (t) function carry out EMD empirical mode decomposition again；
Step 6: monotonic function judgement being carried out for survival function component, if the determination result is YES, then the survival function divides Amount for overlapping portion in finally determining voltage signal s (t) survival function component, if judging result be it is no, by the remnants letter Number component re-starts EMD empirical mode decomposition as the voltage signal s (t) newly replaced since step 1.
The step S03 includes: to improve the analysis of minimum variance filtering algorithm, and the voltage data input after sampling is improved Minimum variance LES filter is to calculate the fundametal compoment and harmonic component of voltage signal, by taking A phase as an example, mathematic(al) representation are as follows:
N is overtone order, θ in formulaanFor A phase voltage phase, kanFor A phase voltage amplitude, t is time, ω0For voltage frequency Rate, definition: Ua=A × X, in which:
Ua=[u (t) u (t- Δ t) ... u (t- (N-1) Δ t)]T (7)
X=[ka sin(θa) ka cos(θa)]T=[X1 X2]T (9)
Δ t is transformation period, and matrix X is voltage fundamental and harmonic function matrix, matrix UaTo sample obtained voltage number According to N is natural number, and Matrix C solves X as system parameter:
Pass through again:
θa=arctan (X1/X2) (12)
X1And X2For the element in X matrix, the amplitude k for extracting the moment voltage signal can be calculated by above formulaaWith phase Information θa, but for refreshing calculating each time, there are a large amount of redundant computations by DSP, pass through minimum variance LES filter Algorithm improvement reduces DSP calculation amount, improves real-time, defines matrix M:
M11、M12、M21And M22For the element in matrix M,
Then matrix
Bringing X expression formula into can obtain:
In kth time into+1 voltage sample calculating process of kth, the variation of matrix N:
In above equation, k is natural number, M, cos [(N+k) ω0Δt]、cos(kω0Δt)、sin[(N+k)ω0Δt]、 sin(kω0The numerical value of Δ t) does not change in each iterative process, can be prestored in dsp, for each There was only the N in formula (14) in the sampling calculative part of refresh process1And N2, before comparing algorithm, can subtract significantly after improvement The calculating of few processor, achievees the purpose that quickly to improve system response time, the structural block diagram of final algorithm is as shown in Figure 3.
When applying this algorithm in DVR, cooperate the PWM output of minimal energy compensation strategy and bicyclic PR control inverter, Wherein minimal energy compensation method is as shown in Fig. 4.When grid voltage sags amplitude is less than 10%, dynamic electric voltage recovery device can be with Not active power of output, and only output reactive power；And when Voltage Drop amplitude reaches 20%~50%, it is proof load two Hold voltage magnitude constant, and the energy for exporting dynamic electric voltage recovery device is minimum, then dynamic electric voltage recovery device has to export Certain active power, control strategy are to do using Double closed-loop of voltage and current strategy, and in outer voltage control It changes, the controller that outer voltage uses is ratio resonant controller (Proportional Resonant, PR), current inner loop It is still proportion adjustment, the schematic diagram of the Compound Control Strategy is as shown in Figure 5.
This algorithm passes through Hilbert-Huang transform (HHT) first and Voltage Drop signal is decomposed and converted, and obtains it Instantaneous frequency information realizes the feedback to next periodic sampling interval, has adaptivity, is then filtered using improved LES The feature that wave device carries out amplitude and phase to voltage signal detects, and is finally applied in DVR, emulates and the experiment proves that is somebody's turn to do The quick and precisely property of method.
Traditional Time-Frequency Analysis Method, which is all based on, to be improved on the basis of Fourier transformation and development, and steady letter can not be got rid of Number constraint.And HHT Time-frequency Analysis gets rid of the limitation of Fourier transformation, has well to non-linear, non-stationary signal Analytical effect can obtain its clearly time-frequency characteristics.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right It is required that protection scope subject to.

Claims (10)

1. a kind of adaptive voltage in DVR falls detection method, which comprises the following steps:
Step S01: acquiring and keeps the voltage signal of three-phase in power grid；
Step S02: voltage signal decompose using HHT algorithm and transformation obtains instantaneous frequency information and redefines sampling Precision；
Step S03: it is detected using the feature that improved LES filter carries out amplitude and phase to voltage signal.
2. a kind of adaptive voltage in DVR according to claim 1 falls detection method, which is characterized in that institute The step S02 stated include it is following step by step:
Step S021: the voltage signal after converting, institute are obtained after the mains voltage signal of acquisition is carried out EMD empirical mode decomposition Voltage signal after the conversion stated are as follows:
In formula, s (t) is expressed as voltage signal, mJ(t) IMF function, r are expressed asn(t) it is expressed as survival function, n and J are certainly So number；
Step S022: HT decomposition is done into all IMF functions part in the voltage signal after conversion, obtains the parsing of plural form Signal zi(t), the analytic signal zi(t) are as follows:
In formula, H (miIt (t)) is the Hilbert transform of each rank IMF function, miIt (t) is each rank IMF function, n and i are natural number；
Step S023: to analytic signal zi(t) it is calculated and obtains instantaneous frequency information and other relevant informations；
Step S024: the sampling precision redefined is obtained according to instantaneous frequency information.
3. a kind of adaptive voltage in DVR according to claim 2 falls detection method, which is characterized in that institute The EMD empirical mode decomposition stated, comprising the following steps:
Step 1: finding out all local extremums in voltage signal s (t) function of acquisition；
Step 2: finding out envelope up and down using cubic spline function；
Step 3: obtaining envelope mean value up and down；
Step 4: new sequence of values being obtained according to all local extremums and upper and lower envelope mean value and is judged；
Step 5: judging whether new sequence of values is IMF function component, if the determination result is YES, by the voltage signal s (t) acquired Function and IMF function component obtain survival function component, if judging result be it is no, to the electricity of next acquisition since step 1 Pressure signal s (t) function carries out EMD empirical mode decomposition again；
Step 6: monotonic function judgement being carried out for survival function component, if the determination result is YES, then the survival function component is Finally in determining voltage signal s (t) overlapping portion survival function component, if judging result be it is no, which is divided Amount re-starts EMD empirical mode decomposition as the voltage signal s (t) newly replaced since step 1.
4. a kind of adaptive voltage in DVR according to claim 2 falls detection method, which is characterized in that institute The instantaneous frequency information and other relevant informations stated are as follows:
Wherein, aiIt (t) is magnitude function,For phase function, fiIt (t) is instantaneous frequency function.
5. a kind of adaptive voltage in DVR according to claim 2 falls detection method, which is characterized in that institute The instantaneous frequency that the sampling precision redefined stated is 4 times.
6. a kind of adaptive voltage in DVR according to claim 1 falls detection method, which is characterized in that institute The step S03 stated include it is following step by step:
Step S031: it is adopted for the voltage signal input minimum variance LES filter after sampling with the voltage for calculating different moments The fundametal compoment and this process of harmonic component for collecting data construct matrix, by the way that the characteristic information of amplitude and phase is calculated, Wherein, the building matrix are as follows:
Ua=C × X
Wherein:
Ua=[u (t) u (t- Δ t) ... u (t- (N-1) Δ t)]T
X=[ka sin(θa) ka cos(θa)]T=[X1 X2]T
In formula, matrix UaFor the voltage acquisition data of different moments, N is natural number, θaFor voltage-phase, kaFor voltage magnitude, t For the time, Δ t is transformation period, ω0For electric voltage frequency, Matrix C is system parameter, and matrix X is voltage fundamental and harmonic function Matrix,
The characteristic information of the amplitude and phase are as follows:
θa=arctan (X1/X2)
In formula, X1And X2For the element in matrix X；
Step S032: algorithm improvement is carried out for minimum variance LES electric-wave filter matrix calculating process.
7. a kind of adaptive voltage in DVR according to claim 6 falls detection method, which is characterized in that institute The algorithm improvement stated are as follows: define matrix M and N, make finally to need the part iterated to calculate to be only N matrix, wherein the M square Battle array are as follows:
M=[CTC]-1,
The N matrix are as follows:
8. a kind of adaptive voltage in DVR according to claim 1 falls detection method, which is characterized in that should When method is applied to DVR, cooperate minimal energy compensation strategy and bicyclic PR control strategy to control the PWM output of inverter.
9. a kind of adaptive voltage in DVR according to claim 8 falls detection method, which is characterized in that institute The minimal energy compensation strategy stated are as follows:
When grid voltage sags amplitude is less than 10%, dynamic electric voltage recovery device output reactive power, when Voltage Drop amplitude When reaching 20%~50%, dynamic electric voltage recovery device active power of output.
10. a kind of adaptive voltage in DVR according to claim 8 falls detection method, which is characterized in that institute The bicyclic PR control strategy stated are as follows:
The controller that outer voltage uses is ratio resonant controller, and the controller that current inner loop uses is proportion adjustment control Device.
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Application publication date: 20190108