CN104897961B - Three spectral line interpolation FFT harmonic analysis methods and system based on cross multiplication window function - Google Patents

Three spectral line interpolation FFT harmonic analysis methods and system based on cross multiplication window function Download PDF

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CN104897961B
CN104897961B CN201510335000.1A CN201510335000A CN104897961B CN 104897961 B CN104897961 B CN 104897961B CN 201510335000 A CN201510335000 A CN 201510335000A CN 104897961 B CN104897961 B CN 104897961B
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CN104897961A (en
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张俊敏
刘开培
汪立
王黎
田微
陈文娟
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South Central Minzu University
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South Central University for Nationalities
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Abstract

The invention discloses a kind of three spectral line interpolation FFT harmonic analysis methods and system based on cross multiplication window function, it is related to frequency analysis field.This method comprises the following steps:Construct cross multiplication window function;Signal Pretreatment;Determine three spectral lines;Calculate the correction formula of three spectral line interpolation algorithms;Calculate fundamental wave parameter;Determine harmonic parameters;Carry out error analysis.The present invention proposes a kind of make of new window function, and different multiplicative combinations is carried out using conventional window function, realizes construction cross multiplication window function first, cross multiplication window function is applied in three spectral line interpolation FFT algorithms, carry out frequency analysis, calculate harmonic parameters.A variety of conventional cosine window function calculated examples show that the cross multiplication window function that the present invention constructs has the higher degree of accuracy, can realize the high-acruracy survey of harmonic wave relative to custom window function interpolation algorithm.

Description

Three spectral line interpolation FFT harmonic analysis methods and system based on cross multiplication window function
Technical field
The present invention relates to frequency analysis field, is specifically related to a kind of three spectral line interpolation FFTs based on cross multiplication window function Harmonic analysis method and system.
Background technology
With the use of a large amount of non-linear power electronic devices so that harmonic pollution problems getting worse in power network.Harmonic wave Problem not only deteriorates the quality of power supply, and considerable influence is also resulted in the safety and stability and economical operation of power network.Therefore, to humorous in system Wave parameter carries out high-acruracy survey, and for reducing Harmfulness Caused by Harmonics, it is very necessary to safeguard electricity net safety stable, Effec-tive Function.
The key issue of harmonic detecting is:Under non-synchronous sampling, how to solve spectral leakage and fence effect.At present, often The detection harmonic wave and the method for m-Acetyl chlorophosphonazo seen mainly have:Fourier transformation, machine learning method, wavelet transformation, power Spectral Estimation, wish That Bert-Huang.
In Fourier transformation analyzes harmonic wave, method therefor is:With various special window functions, signal is blocked, Frequency analysis is carried out then in conjunction with spectral line interpolation FFT (Fast Fourier Transform, Fast Fourier Transform (FFT)).
Conventional window function has:The Chinese peaceful (Hanning) window function, Blacknam (Blackman) window function, Blacknam The Chinese this (Blackman-Harris) window function, Nuttall (Nuttall) window function, Lay husband Vincent (Rife-Vincent) window Function and various combination window functions.
On the basis of adding window, D.Agrez and Pang Hao et al. each propose the correction algorithm of bispectrum line, Wu Jing, Niu Sheng Lock and Huang Dongmei et al. propose three spectral line correction algorithms.These improvement reduce the influence of spectrum leakage and fence effect, carry The high accuracy of frequency analysis.
However, in engineering actual use, conventional window function interpolation algorithm still can not meet high-precision harmonic wave point Analysis requires.
The content of the invention
The invention aims to overcome the shortcomings of above-mentioned background technology, there is provided it is a kind of based on cross multiplication window function three Spectral line interpolation FFT harmonic analysis method and system, with custom window function ratio, there is higher precision.
The present invention provides a kind of three spectral line interpolation FFT harmonic analysis methods based on cross multiplication window function, including following step Suddenly:
S1, construction cross multiplication window function:
The general formula of multiplication window function is multiplication window function w (n) the general public affairs as caused by multiple window function products Formula is:
Wherein, n is the ordinal number of sampled point, and n is natural number;M is for the basic window function for participating in construction multiplication window function Number, m is positive integer;wi(n) it is i-th of basic window function expression formula, i=1,2...m;ciFor i-th of basic window function of participation Number, referred to as wi(n) sub- order;C is total order of cross multiplication window function;According to c1、c2...cmDifference Value, form different combination (c1c2...cm), that is, construct various forms of multiplication window functions;
Work as wi(n) when expression formula is identical, i.e., used by basic window function it is identical when, w (n) is multiplication window function, works as wi (n) during expression formula difference, i.e., used by basic window function difference when, w (n) is cross multiplication window function;
The expression formula of three conventional window functions is respectively w1(n), w2(n), w3(n), total order c=c1+c2+c3, to c mono- Individual maximum, order:C=3;
According to c1、c2、c3Different values, form different combination (c1c2c3), construct following 9 kinds of multiplication window functions:
Work as c1=3, c2=0, c3When=0, construct and mutually multiply 300 window functions;
Work as c1=2, c2=1, c3When=0, construct and mutually multiply 210 window functions;
Work as c1=2, c2=0, c3When=1, construct and mutually multiply 201 window functions;
Work as c1=1, c2=2, c3When=0, construct and mutually multiply 120 window functions;
Work as c1=1, c2=0, c3When=2, construct and mutually multiply 102 window functions;
Work as c1=0, c2=3, c3When=0, construct and mutually multiply 030 window function;
Work as c1=1, c2=1, c3When=1, construct and mutually multiply 111 window functions;
Work as c1=0, c2=2, c3When=1, construct and mutually multiply 021 window function;
Work as c1=0, c2=0, c3When=3, construct and mutually multiply 003 window function;
Wherein, mutually multiply 300 window functions, mutually multiply 030 window function, mutually multiply 003 window function, these three window functions belong to multiplication Window function, remaining the 6 kinds cross multiplication window functions to construct;
S2, Signal Pretreatment:
Transformer gathers power network signal, the power network signal x (n) that transformer is collected, is transferred to host computer;Power network is believed Number x (n) is carried out plus cross multiplication window function w (n) is blocked, and obtains windowing signal xw(n):
xw(n)=x (n) w (n) (2)
After the windowing signal progress FFT of formula (2), windowing FFT frequency spectrum is obtained:
Wherein, W () is the frequency spectrum of window function, and k is positive integer, and X (k) represents the frequency spectrum of kth subharmonic, AkFor kth time The amplitude of harmonic wave, j represent imaginary unit, and e is the truth of a matter of natural logrithm,It is humorous for the first time for the initial phase of kth subharmonic Ripple is fundamental wave, fsFor sample frequency, f0For fundamental frequency, Δ f is discrete frequency intervals, and Δ f=fs/N;
Order:k0=f0/ Δ f, k0For the position of spectral line of real frequency spectrum,
Ignore the influence of secondary lobe at negative frequency point, formula (3) is changed into:
S3, determine three spectral lines:
In the windowing FFT spectrum peak near zone that S2 is obtained, k0Locating three larger spectral lines of Frequency point is respectively:Kth1、 k2、k3Root, k1、k2、k3It is positive integer, k1~k3Relation be:k2=k1+ 1, k3=k2+ 1, amplitude corresponding to this three spectral lines Respectively y1、y2、y3
Remember variable α=k-k2, then -0.5≤α≤0.5;
Another note variable
S4, the correction formula for calculating three spectral line interpolation algorithms:
Obtained according to formula (4) and (5):
Odd function α=g is calculated using Polynomial Approximation Method-1(β), expression formula are:
α≈p11×β+p13×β3+...+p1pβp (7)
p11, p13;…p1pFor the odd term coefficient of approximation by polynomi-als, p is odd number;
According to formula (4), the amplitude A of power network signal ith harmonic wave is tried to achievei
Wherein, i is positive integer, yiFor the amplitude of ith harmonic wave after windowing FFT;
In view of y2It is from the nearest spectral line of true spectral line point, obtains:
During N > 1000, window function coefficient is real coefficient, and formula (9) is expressed as:
A1=N-1(y3+2y2+y1)u(α)
Wherein, u (α) is correction formula, and is even function, and approximating polynomial is free of odd item;
Three spectral line amendment approximating polynomials are as follows:
U (α)=(p20+p22α2+…+p2dαd) (10)
In formula (10), p20,p22…p2dFor the even term coefficient of approximation by polynomi-als, d is the highest order of fitting, and d is Even number;
S5, calculate fundamental wave parameter:
Calculate fundamental frequency f0, fundamental voltage amplitude A1
f0=k Δ f=(k2+α)Δf (11)
A1=N-1(y3+2y2+y1)(p20+p22α2+…+p2dαd) (12)
According to formula (4), the phase of fundamental wave is calculated:
Asking for for fundamental wave parameter is copied, each harmonic ginseng is carried out according to formula (6), (7), (9), (11), (12), (13) Several analyses;
S6, determine harmonic parameters:Determine fundamental frequency f0Afterwards, in scope (kf0-5,kf0+ 5) in, repeat step S3~ S5, finished until all harmonic parameters calculate;
S7, carry out error analysis:Analyze the three spectral line interpolation FFT algorithms based on cross multiplication window function error, and with it is normal Rule window function interpolation algorithm precision is compared.
On the basis of above-mentioned technical proposal, the power network signal includes current signal, voltage signal.
On the basis of above-mentioned technical proposal, the position of spectral line k of the real frequency spectrum0For decimal.
The present invention also provides a kind of three spectral line interpolation FFT frequency analysis systems based on cross multiplication window function, including mutually multiplies Method window function structural unit, Signal Pretreatment unit, spectral line determining unit, correction formula computing unit, fundamental wave parameter calculate single Member, harmonic parameters determining unit, error analysis unit, wherein:
The cross multiplication window function structural unit, for constructing cross multiplication window function:
The general formula of multiplication window function is multiplication window function w (n) the general public affairs as caused by multiple window function products Formula is:
Wherein, n is the ordinal number of sampled point, and n is natural number;M is for the basic window function for participating in construction multiplication window function Number, m is positive integer;wi(n) it is i-th of basic window function expression formula, i=1,2...m;ciFor i-th of basic window function of participation Number, referred to as wi(n) sub- order;C is total order of cross multiplication window function;According to c1、c2...cmDifference Value, form different combination (c1c2...cm), that is, construct various forms of multiplication window functions;
Work as wi(n) when expression formula is identical, i.e., used by basic window function it is identical when, w (n) is multiplication window function, works as wi (n) during expression formula difference, i.e., used by basic window function difference when, w (n) is cross multiplication window function;
The expression formula of three conventional window functions is respectively w1(n), w2(n), w3(n), total order c=c1+c2+c3, to c mono- Individual maximum, order:C=3;
According to c1、c2、c3Different values, form different combination (c1c2c3), construct following 9 kinds of multiplication window functions:
Work as c1=3, c2=0, c3When=0, construct and mutually multiply 300 window functions;
Work as c1=2, c2=1, c3When=0, construct and mutually multiply 210 window functions;
Work as c1=2, c2=0, c3When=1, construct and mutually multiply 201 window functions;
Work as c1=1, c2=2, c3When=0, construct and mutually multiply 120 window functions;
Work as c1=1, c2=0, c3When=2, construct and mutually multiply 102 window functions;
Work as c1=0, c2=3, c3When=0, construct and mutually multiply 030 window function;
Work as c1=1, c2=1, c3When=1, construct and mutually multiply 111 window functions;
Work as c1=0, c2=2, c3When=1, construct and mutually multiply 021 window function;
Work as c1=0, c2=0, c3When=3, construct and mutually multiply 003 window function;
Wherein, mutually multiply 300 window functions, mutually multiply 030 window function, mutually multiply 003 window function, these three window functions belong to multiplication Window function, remaining the 6 kinds cross multiplication window functions to construct;
The Signal Pretreatment unit, for being pre-processed to signal:
Transformer gathers power network signal, the power network signal x (n) that transformer is collected, is transferred to host computer;Power network is believed Number x (n) is carried out plus cross multiplication window function w (n) is blocked, and obtains windowing signal xw(n):
xw(n)=x (n) w (n) (2)
After the windowing signal progress FFT of formula (2), windowing FFT frequency spectrum is obtained:
Wherein, W () is the frequency spectrum of window function, and k is positive integer, and X (k) represents the frequency spectrum of kth subharmonic, AkFor kth time The amplitude of harmonic wave, j represent imaginary unit, and e is the truth of a matter of natural logrithm,It is humorous for the first time for the initial phase of kth subharmonic Ripple is fundamental wave, fsFor sample frequency, f0For fundamental frequency, Δ f is discrete frequency intervals, and Δ f=fs/N;
Order:k0=f0/ Δ f, k0For the position of spectral line of real frequency spectrum,
Ignore the influence of secondary lobe at negative frequency point, formula (3) is changed into:
The spectral line determining unit, for determining three spectral lines:
In the windowing FFT spectrum peak near zone that the Signal Pretreatment unit obtains, k0Locate Frequency point it is larger three Root spectral line is respectively:Kth1、k2、k3Root, k1、k2、k3It is positive integer, k1~k3Relation be:k2=k1+ 1, k3=k2+ 1, this Amplitude corresponding to three spectral lines is respectively y1、y2、y3
Remember variable α=k-k2, then -0.5≤α≤0.5;
Another note variable
The correction formula computing unit, for calculating the correction formula of three spectral line interpolation algorithms:
Obtained according to formula (4) and (5):
Odd function α=g is calculated using Polynomial Approximation Method-1(β), expression formula are:
α≈p11×β+p13×β3+…+p1pβp (7)
p11, p13;…p1pFor the odd term coefficient of approximation by polynomi-als, p is odd number;
According to formula (4), the amplitude A of power network signal ith harmonic wave is tried to achievei
Wherein, i is positive integer, yiFor the amplitude of ith harmonic wave after windowing FFT;
In view of y2It is from the nearest spectral line of true spectral line point, obtains:
During N > 1000, window function coefficient is real coefficient, and formula (9) is expressed as:
A1=N-1(y3+2y2+y1)u(α)
Wherein, u (α) is correction formula, and is even function, and approximating polynomial is free of odd item;
Three spectral line amendment approximating polynomials are as follows:
U (α)=(p20+p22α2+…+p2dαd) (10)
In formula (10), p20,p22…p2dFor the even term coefficient of approximation by polynomi-als, d is the highest order of fitting, and d is Even number;
The fundamental wave parameter calculation unit, for calculating fundamental wave parameter:
Calculate fundamental frequency f0, fundamental voltage amplitude A1
f0=k Δ f=(k2+α)Δf (11)
A1=N-1(y3+2y2+y1)(p20+p22α2+…+p2dαd) (12)
According to formula (4), the phase of fundamental wave is calculated:
Asking for for fundamental wave parameter is copied, each harmonic ginseng is carried out according to formula (6), (7), (9), (11), (12), (13) Several analyses;
The harmonic parameters determining unit, for determining harmonic parameters:Determine fundamental frequency f0Afterwards, in scope (kf0-5, kf0+ 5) in, the spectral line determining unit, correction formula computing unit, fundamental wave parameter calculation unit repeat to calculate, until All harmonic parameters are calculated and finished;
The error analysis unit, for carrying out error analysis:Analyze three spectral line interpolation FFTs based on cross multiplication window function The error of algorithm, and compared with custom window function interpolation arithmetic accuracy.
On the basis of above-mentioned technical proposal, the power network signal includes current signal, voltage signal.
On the basis of above-mentioned technical proposal, the position of spectral line k of the real frequency spectrum0For decimal.
Compared with prior art, advantages of the present invention is as follows:
The present invention proposes a kind of make of new window function, and different multiplicative combinations is carried out using conventional window function, Construction cross multiplication window function is realized first, cross multiplication window function is applied in three spectral line interpolation FFT algorithms, carries out harmonic wave point Analysis, calculate harmonic parameters.A variety of conventional cosine window function calculated examples show, the cross multiplication window function phase that the present invention constructs For custom window function interpolation algorithm, there is the higher degree of accuracy, realize the high-acruracy survey of harmonic wave, there is higher practical valency Value.
Brief description of the drawings
Fig. 1 is the flow of the three spectral line interpolation FFT harmonic analysis methods based on cross multiplication window function in the embodiment of the present invention Figure.
Fig. 2 is the oscillogram of harmonic signal.
Fig. 3 is the amplitude versus frequency characte figure for mutually multiplying 210 window functions.
Fig. 4 is the amplitude versus frequency characte figure for mutually multiplying 201 window functions.
Fig. 5 is the amplitude versus frequency characte figure for mutually multiplying 120 window functions.
Fig. 6 is the amplitude versus frequency characte figure for mutually multiplying 102 window functions.
Fig. 7 is the amplitude versus frequency characte figure for mutually multiplying 111 window functions.
Fig. 8 is the amplitude versus frequency characte figure for mutually multiplying 021 window function.
Embodiment
Below in conjunction with the accompanying drawings and specific embodiment the present invention is described in further detail.
Shown in Figure 1, the embodiment of the present invention provides a kind of three spectral line interpolation FFT harmonic waves point based on cross multiplication window function Analysis method, comprises the following steps:
S1, construction cross multiplication window function:
The general formula of multiplication window function is multiplication window function w (n) the general public affairs as caused by multiple window function products Formula is:
Wherein, n is the ordinal number of sampled point, and n is natural number;M is for the basic window function for participating in construction multiplication window function Number, m is positive integer;wi(n) it is i-th of basic window function expression formula, i=1,2...m;ciFor i-th of basic window function of participation Number, referred to as wi(n) sub- order;C is total order of cross multiplication window function.According to c1、c2...cmNo Same value, form different combination (c1c2...cm), that is, construct various forms of multiplication window functions.
Work as wi(n) when expression formula is identical, i.e., used by basic window function it is identical when, w (n) is multiplication window function, works as wi (n) during expression formula difference, i.e., used by basic window function difference when, w (n) is cross multiplication window function.
Below by taking three conventional window functions as an example, expression formula is respectively w1(n), w2(n), w3(n).Total order c=c1+c2+ c3.Because c is bigger, it is meant that the basic window function of participation multiplication window is more, and the multiplication window function item number of composition is more, can increase The complexity of calculating.Mono- maximum of c typically is given, for example, order:C=3.
According to c1、c2、c3Different values, form different combination (c1c2c3), construct following 9 kinds of multiplication window functions:
Work as c1=3, c2=0, c3When=0, construct and mutually multiply 300 window functions;
Work as c1=2, c2=1, c3When=0, construct and mutually multiply 210 window functions;
Work as c1=2, c2=0, c3When=1, construct and mutually multiply 201 window functions;
Work as c1=1, c2=2, c3When=0, construct and mutually multiply 120 window functions;
Work as c1=1, c2=0, c3When=2, construct and mutually multiply 102 window functions;
Work as c1=0, c2=3, c3When=0, construct and mutually multiply 030 window function;
Work as c1=1, c2=1, c3When=1, construct and mutually multiply 111 window functions;
Work as c1=0, c2=2, c3When=1, construct and mutually multiply 021 window function;
Work as c1=0, c2=0, c3When=3, construct and mutually multiply 003 window function;
It can be seen that from above-mentioned 9 kinds of multiplication window functions:Mutually multiply 300 window functions, mutually multiply 030 window function, mutually multiply 003 window letter Number, these three window functions actually belong to multiplication window function (present invention not discusses), remaining the 6 kinds cross multiplications to construct Window function.
S2, Signal Pretreatment:
Transformer gathers power network signal, and power network signal includes current signal, voltage signal, the power network that transformer is collected Signal x (n), it is transferred to host computer;Power network signal x (n) is carried out plus cross multiplication window function w (n) is blocked, obtains adding window letter Number xw(n):
xw(n)=x (n) w (n) (2)
After the windowing signal progress FFT of formula (2), windowing FFT frequency spectrum is obtained:
Wherein, W () is the frequency spectrum of window function, and k is positive integer, and X (k) represents the frequency spectrum of kth subharmonic, AkFor kth time The amplitude of harmonic wave, j represent imaginary unit, and e is the truth of a matter of natural logrithm,For the initial phase of kth subharmonic, the first subharmonic For fundamental wave, fsFor sample frequency, f0For fundamental frequency, Δ f is discrete frequency intervals, and Δ f=fs/N。
Order:k0=f0/ Δ f, k0For the position of spectral line of real frequency spectrum, because non-synchronous sampling or non-integer-period block, k0One As be decimal, be not integer.
If ignoring the influence of secondary lobe at negative frequency point, formula (3) is changed into:
S3, determine three spectral lines:
In the windowing FFT spectrum peak near zone that S2 is obtained, k0Locating three larger spectral lines of Frequency point is respectively:Kth1、 k2、k3Root, k1、k2、k3It is positive integer, k1~k3Relation be:k2=k1+ 1, k3=k2+ 1, amplitude corresponding to this three spectral lines Respectively y1、y2、y3
For convenience of calculating, variable α=k-k is remembered2, then -0.5≤α≤0.5;
Another note variable
S4, the correction formula for calculating three spectral line interpolation algorithms:
It can be obtained according to formula (4) and (5):
When N values are bigger, such as:During N > 1000, formula (6) can be using abbreviation as a function β=g (α), its inverse function For α=g-1(β).Because used Cosine Window coefficient is real coefficient, its frequency response is even symmetry, thus g () and g-1() is odd function.
Odd function α=g is calculated using Polynomial Approximation Method-1(β), expression formula are:
α≈p11×β+p13×β3+…+p1pβp (7)
p11, p13;…p1pFor the odd term coefficient of approximation by polynomi-als, p is odd number.
According to formula (4), the amplitude A of power network signal ith harmonic wave is tried to achievei
Wherein, i is positive integer, yiFor the amplitude of ith harmonic wave after windowing FFT;
By taking fundamental wave as an example, it is contemplated that y2It is from the nearest spectral line of true spectral line point, gives greater weight, can obtain:
The approach method of similar formula (7), when N is bigger, such as during N > 1000, window function coefficient is real coefficient, formula (9) it is represented by:
A1=N-1(y3+2y2+y1)u(α)
Wherein, u (α) is correction formula, and is even function, and approximating polynomial is free of odd item.
Three spectral line amendment approximating polynomials are as follows:
U (α)=(p20+p22α2+…+p2dαd) (10)
In formula (10), p20,p22…p2dFor the even term coefficient of approximation by polynomi-als, d is the highest order of fitting, and d is Even number.
S5, calculate fundamental wave parameter:
In view of y2It is the two piece spectral lines nearest from true spectral line point, gives greater weight, fundamental frequency f can be calculated0、 Fundamental voltage amplitude A1
f0=k Δ f=(k2+α)Δf (11)
A1=N-1(y3+2y2+y1)(p20+p22α2+…+p2dαd) (12)
According to formula (4), the phase of fundamental wave can also be calculated:
Copy asking for for fundamental wave parameter, according to formula (6), (7), (9), (11), (12), (13) can carry out each time it is humorous The analysis of wave parameter.
S6, determine harmonic parameters:Determine fundamental frequency f0Afterwards, in scope (kf0-5,kf0+ 5) in, repeat step S3~ S5, finished until all harmonic parameters calculate;
S7, carry out error analysis:Analyze the three spectral line interpolation FFT algorithms based on cross multiplication window function error, and with it is normal Rule window function interpolation algorithm precision is compared.
It is described in detail below by a specific embodiment.Select the harmonic wave of a power network signal, the ripple of harmonic wave Parameter is as shown in Figure 2.
The embodiment of the present invention provides a kind of three spectral line interpolation FFT harmonic analysis methods based on cross multiplication window function, specifically Comprise the following steps:
The construction of step 1, cross multiplication window function:
By taking Hanning windows, Hamming windows, Blackman windows as an example, the structural model of cross multiplication window function is provided, is constructed 6 kinds of multiplication window function performances it is as shown in table 1.The problem of in view of amount of calculation, the order of multiplication window function be not suitable for it is too high, because This limits order c=3.The sub- order of every kind of window function may take 0,1,2 three value.For the aspect of writing, simplify table below Up to form:Hanning is abbreviated as Hn, and Hamming is abbreviated as Hm, and Blackman is abbreviated as Bm.
Table 1, the performance based on normal function construction cross multiplication window function
Hn(c1) Hm(c2) Bm(c3) Main lobe width (× π) Sidelobe reduction (dB)
2 1 0 0.0054 -62.8
2 0 1 0.0059 -84.5
1 2 0 0.0051 -64.3
1 0 2 0.0061 -100.6
1 1 1 0.0056 -84.9
0 2 1 0.0056 -86.1
The pretreatment of step 2, signal:
The discrete power network signal x (n) that transformer is collected, signal model ginseng are shown in Table 2.In order to verify carried algorithm Precision, carry out 10 subharmonic simulation analysis.Signal model is:
Wherein:Fundamental frequency f0For 50.5Hz, sample frequency fsFor 5120Hz, sampling number N is 1024.
The harmonic parameters of table 2, power network signal
Signal spectrum is obtained after windowing FFT conversion:
Step 3, determine three spectral lines:
Seek maximum three spectral lines of mould, respectively y in 45~55Hz1, y2, y3
So
Step 4, the correction formula for calculating three spectral line interpolation algorithms:
According to the derivation of step S4 in embodiment, correction formula α=g of 6 kinds of window functions in table 1-1(β), u (α) is as follows respectively:
(1) mutually 210 window functions are multiplied:
β -0.0908720 β of α=1.114587153+0.01413650β5
U (α)=1.80783068+0.41014621 α2+0.05139583α4
It is shown in Figure 3 mutually to multiply 210 window function amplitude versus frequency charactes.
(2) mutually 201 window functions are multiplied:
β -0.09843530 β of α=1.280765373+0.01499840β5
U (α)=1.95369960+0.38423865 α2+0.04102745α4
It is shown in Figure 4 mutually to multiply 201 window function amplitude versus frequency charactes.
(3) mutually 120 window functions are multiplied:
β -0.08842400 β of α=1.085163003+0.0140181β5
U (α)=1.78667431+0.41627357 α2+0.05339022α4
The amplitude versus frequency characte for mutually multiplying 120 window functions is shown in Figure 5.
(4) mutually 102 window functions are multiplied:
β -0.10399918 β of α=1.423549573+0.01605665β5
U (α)=2.07275558+0.36590106 α2+0.03458435α4
The amplitude versus frequency characte for mutually multiplying 102 window functions is shown in Figure 6.
(5) mutually 111 window functions are multiplied:
β -0.09572246 β of α=1.25306403+0.01451709β5
U (α)=1.93442536+0.38883257 α2+0.04234880α4
The amplitude versus frequency characte for mutually multiplying 111 window functions is shown in Figure 7.
(6) mutually 021 window function is multiplied:
β -0.09322158 β of α=1.224471783+0.01445149β5
U (α)=1.91516084+0.39387119 α2+0.04376915α4
The amplitude versus frequency characte for mutually multiplying 021 window function is shown in Figure 8.
Step 5, calculate fundamental wave parameter:
f0=k Δ f=(k2+α)Δf
A1=N-1(y3+2y2+y1)(p20+p22α2+…+p2dαd)
Step 6, determine harmonic parameters:Determine fundamental frequency f0Afterwards, in scope (kf0-5,kf0+ 5) in, repeat step 3~ 5, finished until all harmonic parameters calculate.
Step 7, carry out error analysis:The error of the three spectral line interpolation FFT algorithms based on cross multiplication window function is analyzed, and Compared with custom window function interpolation arithmetic accuracy.Error analysis comparative result referring to shown in 3~table of table 5, wherein, DAiRepresent The relative error of fundamental wave and each harmonic amplitude measure;Df0Represent the relative error of fundamental wave frequency measurement value;Represent base The relative error of ripple and each harmonic initial phase measured value, is expressed as a percentage.
Table 3, cross multiplication window amplitude, frequency measurement relative error
Table 4, cross multiplication window phase measurement relative error
And individually use Hanning, Hamming and Blackman window function amplitude, frequency and phase measurement error such as table 5 It is shown.
Table 5, the amplitude of Hn, Hm, Bm window, frequency and phase relative error
As can be seen here, the cross multiplication window function in the embodiment of the present invention is in fundamental frequency, higher than basic window function by 1~ 3 orders of magnitude, high 2~3 orders of magnitude are counted in crest meter, advantage is more prominent in phase calculation, high 3~6 orders of magnitude. Result of calculation is generally better than common window function spectral line interpolation algorithm it can be seen from simulation result more than.
In summary, being constructed mutually based on cross multiplication window function harmonic analysis method, first realization in the embodiment of the present invention Multiplication window function, cross multiplication window function is applied in three spectral line interpolation FFT algorithms, calculates harmonic parameters, can obtain than normal Advise the higher precision of window function.
The embodiment of the present invention also provides a kind of three spectral line interpolation FFT frequency analysis systems based on cross multiplication window function, bag Include cross multiplication window function structural unit, Signal Pretreatment unit, spectral line determining unit, correction formula computing unit, fundamental wave parameter Computing unit, harmonic parameters determining unit, error analysis unit, wherein:
Cross multiplication window function structural unit, for constructing cross multiplication window function:
The general formula of multiplication window function is multiplication window function w (n) the general public affairs as caused by multiple window function products Formula is:
Wherein, n is the ordinal number of sampled point, and n is natural number;M is for the basic window function for participating in construction multiplication window function Number, m is positive integer;wi(n) it is i-th of basic window function expression formula, i=1,2...m;ciFor i-th of basic window function of participation Number, referred to as wi(n) sub- order;C is total order of cross multiplication window function;According to c1、c2...cmDifference Value, form different combination (c1c2…cm), that is, construct various forms of multiplication window functions;
Work as wi(n) when expression formula is identical, i.e., used by basic window function it is identical when, w (n) is multiplication window function, works as wi (n) during expression formula difference, i.e., used by basic window function difference when, w (n) is cross multiplication window function;
Below by taking three conventional window functions as an example, expression formula is respectively w1(n), w2(n), w3(n).Total order c=c1+c2+ c3.Because c is bigger, it is meant that the basic window function of participation multiplication window is more, and the multiplication window function item number of composition is more, can increase The complexity of calculating.Mono- maximum of c typically is given, for example, order:C=3.
According to c1、c2、c3Different values, form different combination (c1c2c3), construct following 9 kinds of multiplication window functions:
Work as c1=3, c2=0, c3When=0, construct and mutually multiply 300 window functions;
Work as c1=2, c2=1, c3When=0, construct and mutually multiply 210 window functions;
Work as c1=2, c2=0, c3When=1, construct and mutually multiply 201 window functions;
Work as c1=1, c2=2, c3When=0, construct and mutually multiply 120 window functions;
Work as c1=1, c2=0, c3When=2, construct and mutually multiply 102 window functions;
Work as c1=0, c2=3, c3When=0, construct and mutually multiply 030 window function;
Work as c1=1, c2=1, c3When=1, construct and mutually multiply 111 window functions;
Work as c1=0, c2=2, c3When=1, construct and mutually multiply 021 window function;
Work as c1=0, c2=0, c3When=3, construct and mutually multiply 003 window function;
It can be seen that from above-mentioned 9 kinds of multiplication window functions:Mutually multiply 300 window functions, mutually multiply 030 window function, mutually multiply 003 window letter Number, these three window functions actually belong to multiplication window function (present invention not discusses), remaining the 6 kinds cross multiplications to construct Window function.
Signal Pretreatment unit, for being pre-processed to signal:
Transformer gathers power network signal, and power network signal includes current signal, voltage signal;The power network that transformer is collected Signal x (n), it is transferred to host computer;Power network signal x (n) is carried out plus cross multiplication window function w (n) is blocked, obtains adding window letter Number xw(n):
xw(n)=x (n) w (n) (2)
After the windowing signal progress FFT of formula (2), windowing FFT frequency spectrum is obtained:
Wherein, W () is the frequency spectrum of window function, and k is positive integer, and X (k) represents the frequency spectrum of kth subharmonic, AkFor kth time The amplitude of harmonic wave, j represent imaginary unit, and e is the truth of a matter of natural logrithm,For the initial phase of kth subharmonic, the first subharmonic For fundamental wave, fsFor sample frequency, f0For fundamental frequency, Δ f is discrete frequency intervals, and Δ f=fs/N;
Order:k0=f0/ Δ f, k0For the position of spectral line of real frequency spectrum, because non-synchronous sampling or non-integer-period block, k0One As be decimal, be not integer.
Ignore the influence of secondary lobe at negative frequency point, formula (3) is changed into:
Spectral line determining unit, for determining three spectral lines:
In the windowing FFT spectrum peak near zone that Signal Pretreatment unit obtains, k0Locate three larger spectrums of Frequency point Line is respectively:Kth1、k2、k3Root, k1、k2、k3It is positive integer, k1~k3Relation be:k2=k1+ 1, k3=k2+ 1, this three Amplitude corresponding to spectral line is respectively y1、y2、y3
Remember variable α=k-k2, then -0.5≤α≤0.5;
Another note variable
Correction formula computing unit, for calculating the correction formula of three spectral line interpolation algorithms:
Obtained according to formula (4) and (5):
When N values are bigger, such as:During N > 1000, formula (6) can be using abbreviation as a function β=g (α), its inverse function For α=g-1(β).Because used Cosine Window coefficient is real coefficient, its frequency response is even symmetry, thus g () and g-1() is odd function.
Odd function α=g is calculated using Polynomial Approximation Method-1(β), expression formula are:
α≈p11×β+p13×β3+…+p1pβp (7)
p11, p13;…p1pFor the odd term coefficient of approximation by polynomi-als, p is odd number;
According to formula (4), the amplitude A of power network signal ith harmonic wave is tried to achievei
Wherein, i is positive integer, yiFor the amplitude of ith harmonic wave after windowing FFT;
By taking fundamental wave as an example, it is contemplated that y2It is from the nearest spectral line of true spectral line point, gives greater weight, can obtain:
During N > 1000, window function coefficient is real coefficient, and formula (9) is expressed as:
A1=N-1(y3+2y2+y1)u(α)
Wherein, u (α) is correction formula, and is even function, and approximating polynomial is free of odd item;
Three spectral line amendment approximating polynomials are as follows:
U (α)=(p20+p22α2+…+p2dαd) (10)
In formula (10), p20,p22…p2dFor the even term coefficient of approximation by polynomi-als, d is the highest order of fitting, and d is Even number;
Fundamental wave parameter calculation unit, for calculating fundamental wave parameter:
In view of y2It is the two piece spectral lines nearest from true spectral line point, gives greater weight, fundamental frequency f can be calculated0、 Fundamental voltage amplitude A1
f0=k Δ f=(k2+α)Δf (11)
A1=N-1(y3+2y2+y1)(p20+p22α2+…+p2dαd) (12)
According to formula (4), the phase of fundamental wave is calculated:
Asking for for fundamental wave parameter is copied, each harmonic ginseng is carried out according to formula (6), (7), (9), (11), (12), (13) Several analyses;
Harmonic parameters determining unit, for determining harmonic parameters:Determine fundamental frequency f0Afterwards, in scope (kf0-5,kf0+5) Interior, the spectral line determining unit, correction formula computing unit, fundamental wave parameter calculation unit repeat to calculate, until all humorous Wave parameter is calculated and finished;
Error analysis unit, for carrying out error analysis:Analyze the three spectral line interpolation FFT algorithms based on cross multiplication window function Error, and compared with custom window function interpolation arithmetic accuracy.
Those skilled in the art can carry out various modifications and variations to the embodiment of the present invention, if these modifications and change Type is within the scope of the claims in the present invention and its equivalent technologies, then these modifications and variations are also in protection scope of the present invention Within.
The prior art that the content not being described in detail in specification is known to the skilled person.

Claims (6)

1. a kind of three spectral line interpolation FFT harmonic analysis methods based on cross multiplication window function, it is characterised in that including following step Suddenly:
S1, construction cross multiplication window function:
The general formula of multiplication window function is as caused by multiple window function products, and multiplication window function w (n) general formula is:
Wherein, n is the ordinal number of sampled point, and n is natural number;M constructs the number of the basic window function of multiplication window function, m for participation For positive integer;wi(n) it is i-th of basic window function expression formula, i=1,2...m;ciTo participate in of i-th of basic window function Number, referred to as wi(n) sub- order;C is total order of cross multiplication window function;According to c1、c2…cmDifference take Value, forms different combination (c1 c2…cm), that is, construct various forms of multiplication window functions;
Work as wi(n) when expression formula is identical, i.e., used by basic window function it is identical when, w (n) is multiplication window function, works as wi(n) During expression formula difference, i.e., used by basic window function difference when, w (n) is cross multiplication window function;
The expression formula of three conventional window functions is respectively w1(n), w2(n), w3(n), total order c=c1+c2+c3, give c mono- maximum Value, order:C=3;
According to c1、c2、c3Different values, form different combination (c1 c2 c3), construct following 9 kinds of multiplication window functions:
Work as c1=3, c2=0, c3When=0, construct and mutually multiply 300 window functions;
Work as c1=2, c2=1, c3When=0, construct and mutually multiply 210 window functions;
Work as c1=2, c2=0, c3When=1, construct and mutually multiply 201 window functions;
Work as c1=1, c2=2, c3When=0, construct and mutually multiply 120 window functions;
Work as c1=1, c2=0, c3When=2, construct and mutually multiply 102 window functions;
Work as c1=0, c2=3, c3When=0, construct and mutually multiply 030 window function;
Work as c1=1, c2=1, c3When=1, construct and mutually multiply 111 window functions;
Work as c1=0, c2=2, c3When=1, construct and mutually multiply 021 window function;
Work as c1=0, c2=0, c3When=3, construct and mutually multiply 003 window function;
Wherein, mutually multiply 300 window functions, mutually multiply 030 window function, mutually multiply 003 window function, these three window functions belong to multiplication window letter Number, remaining the 6 kinds cross multiplication window functions to construct;
S2, Signal Pretreatment:
Transformer gathers power network signal, the power network signal x (n) that transformer is collected, is transferred to host computer;To power network signal x (n) carry out plus cross multiplication window function w (n) is blocked, obtain windowing signal xw(n):
xw(n)=x (n) w (n) (2)
After the windowing signal progress FFT of formula (2), windowing FFT frequency spectrum is obtained:
Wherein, W () is the frequency spectrum of window function, and k is positive integer, and X (k) represents the frequency spectrum of kth subharmonic, AkFor kth subharmonic Amplitude, j represent imaginary unit, and e is the truth of a matter of natural logrithm,For the initial phase of kth subharmonic, the first subharmonic is base Ripple, fsFor sample frequency, f0For fundamental frequency, Δ f is discrete frequency intervals, and Δ f=fs/N;
Order:k0=f0/ Δ f, k0For the position of spectral line of real frequency spectrum,
Ignore the influence of secondary lobe at negative frequency point, formula (3) is changed into:
S3, determine three spectral lines:
In the windowing FFT spectrum peak near zone that S2 is obtained, k0Locating three larger spectral lines of Frequency point is respectively:Kth1、k2、k3 Root, k1、k2、k3It is positive integer, k1~k3Relation be:k2=k1+ 1, k3=k2+ 1, amplitude corresponding to this three spectral lines is distinguished For y1、y2、y3
Remember variable α=k-k2, then -0.5≤α≤0.5;
Another note variable
S4, the correction formula for calculating three spectral line interpolation algorithms:
Obtained according to formula (4) and (5):
<mrow> <mi>&amp;beta;</mi> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>|</mo> <mo>-</mo> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>|</mo> </mrow> <mrow> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>)</mo> </mrow> <mo>|</mo> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow>
Odd function α=g is calculated using Polynomial Approximation Method-1(β), expression formula are:
α≈p11×β+p13×β3+…+p1pβp (7)
p11, p13;…p1pFor the odd term coefficient of approximation by polynomi-als, p is odd number;
According to formula (4), the amplitude A of power network signal ith harmonic wave is tried to achievei
<mrow> <msub> <mi>A</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>2</mn> <msub> <mi>y</mi> <mi>i</mi> </msub> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>-</mo> <mfrac> <msub> <mi>f</mi> <mn>0</mn> </msub> <mrow> <mi>&amp;Delta;</mi> <mi>f</mi> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>|</mo> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>8</mn> <mo>)</mo> </mrow> </mrow>
Wherein, i is positive integer, yiFor the amplitude of ith harmonic wave after windowing FFT;
In view of y2It is from the nearest spectral line of true spectral line point, obtains:
<mrow> <msub> <mi>A</mi> <mn>1</mn> </msub> <mo>=</mo> <mfrac> <mrow> <mn>2</mn> <mrow> <mo>(</mo> <msub> <mi>y</mi> <mn>3</mn> </msub> <mo>+</mo> <mn>2</mn> <msub> <mi>y</mi> <mn>2</mn> </msub> <mo>+</mo> <msub> <mi>y</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> </mrow> <mrow> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>|</mo> <mo>+</mo> <mn>2</mn> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>+</mo> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>|</mo> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>9</mn> <mo>)</mo> </mrow> </mrow>
During N > 1000, window function coefficient is real coefficient, and formula (9) is expressed as:
A1=N-1(y3+2y2+y1)u(α)
Wherein, u (α) is correction formula, and is even function, and approximating polynomial is free of odd item;
Three spectral line amendment approximating polynomials are as follows:
U (α)=(p20+p22α2+…+p2dαd) (10)
In formula (10), p20,p22…p2dFor the even term coefficient of approximation by polynomi-als, d is the highest order of fitting, and d is even Number;
S5, calculate fundamental wave parameter:
Calculate fundamental frequency f0, fundamental voltage amplitude A1
f0=k Δ f=(k2+α)Δf (11)
A1=N-1(y3+2y2+y1)(p20+p22α2+…+p2dαd) (12)
According to formula (4), the phase of fundamental wave is calculated:
Asking for for fundamental wave parameter is copied, point of each harmonic parameter is carried out according to formula (6), (7), (9), (11), (12), (13) Analysis;
S6, determine harmonic parameters:Determine fundamental frequency f0Afterwards, in scope (kf0-5,kf0+ 5) in, repeat step S3~S5, until All harmonic parameters are calculated and finished;
S7, carry out error analysis:Analyze the error of the three spectral line interpolation FFT algorithms based on cross multiplication window function, and and custom window Function interpolation arithmetic accuracy is compared.
2. the three spectral line interpolation FFT harmonic analysis methods based on cross multiplication window function, its feature exist as claimed in claim 1 In:The power network signal includes current signal, voltage signal.
3. the three spectral line interpolation FFT harmonic analysis methods based on cross multiplication window function, its feature exist as claimed in claim 1 In:The position of spectral line k of the real frequency spectrum0For decimal.
A kind of 4. three spectral line interpolation FFT frequency analysis systems based on cross multiplication window function, it is characterised in that:Including cross multiplication window It is construction of function unit, Signal Pretreatment unit, spectral line determining unit, correction formula computing unit, fundamental wave parameter calculation unit, humorous Wave parameter determining unit, error analysis unit, wherein:
The cross multiplication window function structural unit, for constructing cross multiplication window function:
The general formula of multiplication window function is as caused by multiple window function products, and multiplication window function w (n) general formula is:
Wherein, n is the ordinal number of sampled point, and n is natural number;M constructs the number of the basic window function of multiplication window function, m for participation For positive integer;wi(n) it is i-th of basic window function expression formula, i=1,2...m;ciTo participate in of i-th of basic window function Number, referred to as wi(n) sub- order;C is total order of cross multiplication window function;According to c1、c2...cmDifference take Value, forms different combination (c1 c2...cm), that is, construct various forms of multiplication window functions;
Work as wi(n) when expression formula is identical, i.e., used by basic window function it is identical when, w (n) is multiplication window function, works as wi(n) During expression formula difference, i.e., used by basic window function difference when, w (n) is cross multiplication window function;
The expression formula of three conventional window functions is respectively w1(n), w2(n), w3(n), total order c=c1+c2+c3, give c mono- maximum Value, order:C=3;
According to c1、c2、c3Different values, form different combination (c1 c2 c3), construct following 9 kinds of multiplication window functions:
Work as c1=3, c2=0, c3When=0, construct and mutually multiply 300 window functions;
Work as c1=2, c2=1, c3When=0, construct and mutually multiply 210 window functions;
Work as c1=2, c2=0, c3When=1, construct and mutually multiply 201 window functions;
Work as c1=1, c2=2, c3When=0, construct and mutually multiply 120 window functions;
Work as c1=1, c2=0, c3When=2, construct and mutually multiply 102 window functions;
Work as c1=0, c2=3, c3When=0, construct and mutually multiply 030 window function;
Work as c1=1, c2=1, c3When=1, construct and mutually multiply 111 window functions;
Work as c1=0, c2=2, c3When=1, construct and mutually multiply 021 window function;
Work as c1=0, c2=0, c3When=3, construct and mutually multiply 003 window function;
Wherein, mutually multiply 300 window functions, mutually multiply 030 window function, mutually multiply 003 window function, these three window functions belong to multiplication window letter Number, remaining the 6 kinds cross multiplication window functions to construct;
The Signal Pretreatment unit, for being pre-processed to signal:
Transformer gathers power network signal, the power network signal x (n) that transformer is collected, is transferred to host computer;To power network signal x (n) carry out plus cross multiplication window function w (n) is blocked, obtain windowing signal xw(n):
xw(n)=x (n) w (n) (2)
After the windowing signal progress FFT of formula (2), windowing FFT frequency spectrum is obtained:
Wherein, W () is the frequency spectrum of window function, and k is positive integer, and X (k) represents the frequency spectrum of kth subharmonic, AkFor kth subharmonic Amplitude, j represent imaginary unit, and e is the truth of a matter of natural logrithm,For the initial phase of kth subharmonic, the first subharmonic is base Ripple, fsFor sample frequency, f0For fundamental frequency, Δ f is discrete frequency intervals, and Δ f=fs/N;
Order:k0=f0/ Δ f, k0For the position of spectral line of real frequency spectrum,
Ignore the influence of secondary lobe at negative frequency point, formula (3) is changed into:
The spectral line determining unit, for determining three spectral lines:
In the windowing FFT spectrum peak near zone that the Signal Pretreatment unit obtains, k0Locate three larger spectral lines of Frequency point Respectively:Kth1、k2、k3Root, k1、k2、k3It is positive integer, k1~k3Relation be:k2=k1+ 1, k3=k2+ 1, this three spectrums Amplitude corresponding to line is respectively y1、y2、y3
Remember variable α=k-k2, then -0.5≤α≤0.5;
Another note variable
The correction formula computing unit, for calculating the correction formula of three spectral line interpolation algorithms:
Obtained according to formula (4) and (5):
<mrow> <mi>&amp;beta;</mi> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>|</mo> <mo>-</mo> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>|</mo> </mrow> <mrow> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>)</mo> </mrow> <mo>|</mo> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow>
Odd function α=g is calculated using Polynomial Approximation Method-1(β), expression formula are:
α≈p11×β+p13×β3+…+p1pβp (7)
p11, p13;…p1pFor the odd term coefficient of approximation by polynomi-als, p is odd number;
According to formula (4), the amplitude A of power network signal ith harmonic wave is tried to achievei
<mrow> <msub> <mi>A</mi> <mi>i</mi> </msub> <mo>=</mo> <mn>2</mn> <msub> <mi>y</mi> <mi>i</mi> </msub> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>-</mo> <mfrac> <msub> <mi>f</mi> <mn>0</mn> </msub> <mrow> <mi>&amp;Delta;</mi> <mi>f</mi> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>|</mo> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>8</mn> <mo>)</mo> </mrow> </mrow>
Wherein, i is positive integer, yiFor the amplitude of ith harmonic wave after windowing FFT;
In view of y2It is from the nearest spectral line of true spectral line point, obtains:
<mrow> <msub> <mi>A</mi> <mn>1</mn> </msub> <mo>=</mo> <mfrac> <mrow> <mn>2</mn> <mrow> <mo>(</mo> <msub> <mi>y</mi> <mn>3</mn> </msub> <mo>+</mo> <mn>2</mn> <msub> <mi>y</mi> <mn>2</mn> </msub> <mo>+</mo> <msub> <mi>y</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> </mrow> <mrow> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>|</mo> <mo>+</mo> <mn>2</mn> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>)</mo> </mrow> <mo>|</mo> <mo>+</mo> <mo>|</mo> <mi>W</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>&amp;alpha;</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>|</mo> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>9</mn> <mo>)</mo> </mrow> </mrow>
During N > 1000, window function coefficient is real coefficient, and formula (9) is expressed as:
A1=N-1(y3+2y2+y1)u(α)
Wherein, u (α) is correction formula, and is even function, and approximating polynomial is free of odd item;
Three spectral line amendment approximating polynomials are as follows:
U (α)=(p20+p22α2+…+p2dαd) (10)
In formula (10), p20,p22…p2dFor the even term coefficient of approximation by polynomi-als, d is the highest order of fitting, and d is even Number;
The fundamental wave parameter calculation unit, for calculating fundamental wave parameter:
Calculate fundamental frequency f0, fundamental voltage amplitude A1
f0=k Δ f=(k2+α)Δf (11)
A1=N-1(y3+2y2+y1)(p20+p22α2+…+p2dαd) (12)
According to formula (4), the phase of fundamental wave is calculated:
Asking for for fundamental wave parameter is copied, point of each harmonic parameter is carried out according to formula (6), (7), (9), (11), (12), (13) Analysis;
The harmonic parameters determining unit, for determining harmonic parameters:Determine fundamental frequency f0Afterwards, in scope (kf0-5,kf0+5) Interior, the spectral line determining unit, correction formula computing unit, fundamental wave parameter calculation unit repeat to calculate, until all humorous Wave parameter is calculated and finished;
The error analysis unit, for carrying out error analysis:Analyze the three spectral line interpolation FFT algorithms based on cross multiplication window function Error, and compared with custom window function interpolation arithmetic accuracy.
5. the three spectral line interpolation FFT frequency analysis systems based on cross multiplication window function, its feature exist as claimed in claim 4 In:The power network signal includes current signal, voltage signal.
6. the three spectral line interpolation FFT frequency analysis systems based on cross multiplication window function, its feature exist as claimed in claim 4 In:The position of spectral line k of the real frequency spectrum0For decimal.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105512469A (en) * 2015-12-01 2016-04-20 江苏省电力公司淮安供电公司 Charging pile harmonic wave detection algorithm based on windowing interpolation FFT and wavelet packet
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CN109283386A (en) * 2018-12-06 2019-01-29 国网江西省电力有限公司电力科学研究院 A kind of harmonic electric energy meter based on ADC Yu three spectral line interpolation FFT of Rife-Vincent window
CN109725200B (en) * 2019-01-25 2021-02-12 江苏大学 Self-adaptive harmonic analysis system and analysis method thereof
CN109633262A (en) * 2019-01-29 2019-04-16 国网湖南省电力有限公司 Three phase harmonic electric energy gauging method, device based on composite window multiline FFT
CN110031552B (en) * 2019-05-27 2021-10-22 嘉兴博传科技有限公司 Structural health monitoring damage characteristic value calculation method
CN115825557A (en) * 2022-11-25 2023-03-21 国网四川省电力公司映秀湾水力发电总厂 Generalized harmonic analysis method, device and medium based on harmonic component zero setting

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000077674A1 (en) * 1999-06-10 2000-12-21 Koninklijke Philips Electronics N.V. Recognition of a useful signal in a measurement signal
CN103308766A (en) * 2013-05-15 2013-09-18 湖南大学 Harmonic analysis method based on Kaiser self-convolution window dual-spectrum line interpolation FFT (Fast Fourier Transform) and device thereof
CN103575984A (en) * 2012-08-02 2014-02-12 西安元朔科技有限公司 Harmonic analysis method based on Kaiser window double-spectral-line interpolation FFT
CN104062528A (en) * 2014-07-04 2014-09-24 武汉大学 Signal harmonic analysis method and system based on Hanning product window

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3646510B2 (en) * 1998-03-18 2005-05-11 セイコーエプソン株式会社 Thin film forming method, display device, and color filter
CN104062500A (en) * 2014-07-04 2014-09-24 武汉大学 Signal harmonic analysis method and system based on Hamming product window

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000077674A1 (en) * 1999-06-10 2000-12-21 Koninklijke Philips Electronics N.V. Recognition of a useful signal in a measurement signal
CN103575984A (en) * 2012-08-02 2014-02-12 西安元朔科技有限公司 Harmonic analysis method based on Kaiser window double-spectral-line interpolation FFT
CN103308766A (en) * 2013-05-15 2013-09-18 湖南大学 Harmonic analysis method based on Kaiser self-convolution window dual-spectrum line interpolation FFT (Fast Fourier Transform) and device thereof
CN104062528A (en) * 2014-07-04 2014-09-24 武汉大学 Signal harmonic analysis method and system based on Hanning product window

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
一种新的余弦组合窗插值FFT谐波分析算法;王玲 等;《武汉大学学报(工学版)》;20140430;第47卷(第2期);第250-254页 *
基于三谱线插值FFT的电力谐波分析算法;牛胜锁 等;《中国电机工程学报》;20120605;第32卷(第16期);第130-136页 *

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