CN102879639A - Real-time frequency measuring method in power system - Google Patents

Real-time frequency measuring method in power system Download PDF

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CN102879639A
CN102879639A CN2012103387587A CN201210338758A CN102879639A CN 102879639 A CN102879639 A CN 102879639A CN 2012103387587 A CN2012103387587 A CN 2012103387587A CN 201210338758 A CN201210338758 A CN 201210338758A CN 102879639 A CN102879639 A CN 102879639A
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李林峰
李开成
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Huazhong University of Science and Technology
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Abstract

The invention discloses a real-time frequency measuring method in a power system. The method is used for tracking the frequency of a signal waveform to be measured in the power system in real time. The method comprises the following steps of: (1) establishing a rectangular coordinate system according to the waveform to be measured, wherein a horizontal axis is time, a longitudinal axis is a signal instantaneous value, and an intersection point of the longitudinal axis and the horizontal axis is a theoretical zero crossing point; (2) continuously sampling the waveform to be measured, and searching two continuous sampling points which fall on two sides of a random first theoretical zero crossing point, and two sampling points which are positioned behind the first theoretical zero crossing point and adjacent to the first theoretical zero crossing point and have the same change rate symbols; (3) linearly connecting the two sampling points respectively according to sampling values, and determining the intersection points of the sampling points and the horizontal axis as approximate zero crossing points; and (4) according to two determined approximate zero crossing points, measuring the frequency of the signal waveform to be measured. The frequency measuring method is simplicity in measurement, small in operation amount, high in real-time performance, high in accuracy and applicable to the occasions with requirements on high real-time performance and high measurement accuracy.

Description

A kind of method for real-time measurement of electric system medium frequency
Technical field
The invention belongs to the frequency measurement technical field in the electric system, specifically a kind of method for real-time measurement of electric system medium frequency.
Background technology
Frequency is one of the most basic electrical quantities, and the measurements such as the voltage in the electric system, electric current, power quality analysis all depend on the accurate measurement to fundamental frequency.Because the frequency of electric system reality fluctuates, therefore must follow the tracks of the frequency of fluctuation (namely measure in real time, or accurate synchro measure) just can carry out accurate electric current, voltage measurement and power quality analysis.
At present the method for survey frequency is a lot, as based on the periodic method of zero crossing, error minimize principle class method, based on the analytical method of signal observation model, DFT algorithm etc.Based on the periodic method of zero crossing be the measuring-signal waveform in succession the time width between zero crossing come survey frequency, the method physical concept is clear, calculated amount is little, but measuring accuracy is lower, and is subject to the impact of harmonic wave, random disturbance and aperiodic component.Error minimize principle class method is to realize the best-fit of sample data and model under the minimum variance meaning, the method fast convergence rate, to suppress the noise ability stronger, certain measuring accuracy is arranged, but when frequency shift (FS) 50Hz, there is the asynchronous sampling error in the frequency of measuring.Analytical method based on the signal observation model is to suppose that the effective information in the input signal meets a certain definite model, makes the input sample data be fit to greatest extent this model, and this algorithm has complicated mathematical operation, and amount of calculation is large.The DFT algorithm is first-harmonic and the harmonic separation of signal, thereby obtains the fundamental frequency of signal, and the precision and stability of this algorithm is better, but noise is larger on the measuring accuracy impact, and calculated amount is larger, and may the pull-in frequency aliasing to the periodic extension of signal.
CN102236048A discloses a kind of measuring method of electric system phasor frequency, it carries out low-pass filtering through low-pass filter first to the original interval discrete sampling value sequence of fixing time, with the interference of secondary and the above harmonic component of secondary in the elimination original input signal; Again to calculating respectively real part and imaginary part from the sampled value sequence, thereby the phase place of calculating calculates revised current high precision frequency values according to formula at last.The method is not subjected to the interference of power supply reference level fluctuation, and can not continue the impact of the calculated value of being subjected to over.But there is the defective that measuring accuracy is lower, calculated amount is excessive and requirement of real-time is not high in this measuring method.
Summary of the invention
The object of the invention is to propose a kind of method for real-time measurement of electric system medium frequency, by the zero crossing detection of similar triangle theory, in conjunction with filtering peace equalization process, realize the real-time measurement of high-precision frequency.
Realize that the concrete technical scheme that purpose of the present invention adopts is as follows:
A kind of method for real-time measurement of electric system medium frequency, the frequency for real-time follow-up measured signal waveform is characterized in that, comprising:
(1) take the time value of measured signal waveform as transverse axis, instantaneous value is the longitudinal axis, on this signal waveform to be measured, sets any two adjacent and theoretical zero crossing O that the rate of change symbol is identical 1, O 2
(2) two adjacent sampled points of supposition drop on respectively the both sides of theoretical zero crossing, obtain zero crossing O 1Two sampled point u of both sides I-1, u i, and zero crossing O 2Two sampled point u of both sides J-1, u jI, j are respectively the time series number of sampled point.
Wherein, two sampled point u I-1, u iBetween line and the intersection point of time shaft be B 1, two sampled point u J-1And u jLine and the intersection point of time shaft be B 2, this intersection points B 1And B 2Be approximate zero crossing.
(3) according to above-mentioned definite approximate zero crossing, can obtain the frequency f of signal waveform to be measured, namely
f = 1 ( j - i ) × T s + t B 1 C 1 - t B 2 C 2
In the formula, T SBe sampling interval,
Figure BDA00002135007000022
Be approximate zero crossing B 1With sampled point u iCorresponding time point C 1Between the time interval,
Figure BDA00002135007000023
Be approximate zero crossing B 2With sampled point u jCorresponding time point C 2Between the time interval.
When sample frequency enough when high (being that sampling time interval is very little), line adjacent 2 on the curve is approximately straight line, and sampling interval is less, and curve more approaches straight line, and is more accurate by frequency or cycle that the method is determined.
In the method for the present invention, waveform to be measured must be processed through digital filtering, and the interference of filtering direct current and harmonic wave is to obtain accurate zero crossing.
Frequency measurement method of the present invention have measure simple, operand is little, real-time good, the enough highs of precision, is suitable for the requirement real-time good, the occasion that measuring accuracy is higher.
Description of drawings
Fig. 1 is the principle schematic that the method for embodiments of the invention is carried out frequency measurement.
Specific implementation method
Below in conjunction with the drawings and specific embodiments the present invention is described in detail.Need to prove, following embodiment only is exemplary, and not consisting of is limitation of the invention.
Take the sine voltage signal as example, specify the process of carrying out frequency measurement in the present embodiment, but the measuring-signal in the present embodiment is not defined as voltage signal, the various signals in the electric system such as electric current, electric field, magnetic field etc. are all applicable.
Such as Fig. 1, the method for real-time measurement of the frequency of the signal waveform in the present embodiment specifically comprises the steps:
(1) waveform voltage signal corresponding to be measured is set up corresponding rectangular coordinate system, and wherein the coordinate system transverse axis is the time, and the longitudinal axis is instantaneous voltage, and waveform is symmetrical about transverse axis.
Magnitude of voltage on the longitudinal axis with respect to transverse axis value on one side be on the occasion of, the another side value is negative value, voltage waveform and transverse axis intersection point are the voltage null value, this intersection point is also referred to as zero crossing.The time interval between any two adjacent and the zero crossings that the rate of change symbol is identical is the cycle of waveform, can obtain the frequency of waveform according to this waveform.In fact, because waveform is in continuous fluctuation, theoretical zero crossing is difficult to accurately obtain, and can only by obtaining as far as possible near the point of this theory zero crossing, carry out the measurement of wave period and frequency with this.
(2) voltage waveform is sampled, obtain a plurality of sampled points on the waveform, to each theoretical zero crossing, further find two adjacent sampled points of its both sides of apportion.
For any two adjacent and theoretical zero crossing O that the rate of change symbol is identical 1, O 2, suppose to lay respectively at zero crossing O 1Two sampled points of both sides are u I-1, u i, lay respectively at zero crossing O 2Two sampled points of both sides are u J-1, u j, wherein i, j are respectively the time series number of sampled point.
Such as Fig. 1, u I-1And u iLay respectively at zero crossing O 1Left and right sides, its corresponding point on waveform are respectively D 1And E 1, u J-1And u jLay respectively at zero crossing O 2Left and right sides, its corresponding point on waveform are respectively D 2And E 2
(3) determine the approximate zero crossing of corresponding each theoretical zero crossing according to the sampled point that finds.
Sampled point u I-1And u iTime point corresponding on time shaft is respectively A 1And C 1, sampled point u J-1And u jCorresponding time point is A respectively 2And C 2
Next, connect two sampled point u I-1And u iBetween line be D 1E 1, and two sampled point u J-1And u jBetween line be D 2E 2, simultaneously, tie-time point A 1And C 1Form line segment A 1C 1, tie-time point A 2And C 2Form line segment A 2C 2, and obtain respectively D 1E 1With A 1C 1Intersection points B 1, D 2E 2With A 2C 2Intersection points B 2
Wherein, line segment A 1C 1And A 2C 2Be positioned on the time shaft t, overlap with time shaft.This intersection points B 1And B 2The approximate zero crossing of definition signal waveform;
(4) according to above-mentioned definite approximate zero crossing B 1And B 2, can obtain the frequency f of signal waveform to be measured, namely
f = 1 ( j - i ) × T s + t B 1 C 1 - t B 2 C 2
In the formula, T SBe sampling interval,
Figure BDA00002135007000042
Be approximate zero crossing B 1With sampled point u iCorresponding time point C 1Between the time interval,
Figure BDA00002135007000043
Be approximate zero crossing B 2With sampled point u iCorresponding time point C 2Between the time interval.
In this step (4), frequency formula obtains by the similar triangles method.
Be respectively u in the sinusoidal wave zero passage O1 of place, O2 left and right sides sampled value I-1, u iAnd u J-1, u j, available straight line D 1B 1E 1Approximate D therebetween 1O 1E 1Sinusoidal segments, with D 2B 2E 2Approximate D therebetween 2O 2E 2Sinusoidal segments, with B 1, B 2Replace O 1, O 2, the error that causes is less.When sample frequency enough when high (being that sampling time interval is enough little), line adjacent 2 on the curve is approximately straight line, and sampling interval is less, and straight line more approaches curve, and is more accurate by the determined frequency of the method or cycle.
Each zero crossing is respectively in the sampling of its both sides, and two sampled points of these zero crossing both sides that obtain living apart as the summit, namely form a vertical angle triangle with time value point corresponding to two sampled points and this two sampled point, and it consists of similar triangles.
According to the similar triangles theorem, have:
t B 1 C 1 t A 1 B 1 = | u i | | u i - 1 |
Then can get,
t B 1 C 1 t A 1 C 1 = | u i | | u i - 1 | + | u i | = | u i | u i - u i - 1
So have:
t B 1 C 1 = | u i | u i - u i - 1 × t A 1 C 1 = | u i | u i - u i - 1 × T S
Here T SBe sampling interval.
In like manner,
t B 2 C 2 = | u j | u j - u j - 1 × T S
t O1O2≈t B1B2=(j-i)×T S+t B1C1-t B2C2
Thus, can try to achieve waveform frequency to be measured is:
f = 1 t O 1 O 2 ≈ 1 t B 1 B 2 = 1 ( j - i ) × T S + t B 1 C 1 - t B 2 C 2
By above derivation as can be known, the raising of sampling rate helps the raising of frequency measurement accuracy.
For filtering noise disturbs, adopt the maximal possibility estimation theory to get a plurality of cycle measurement results and be averaged again, obtain the accurate estimated value of frequency.
According to the frequency values that accurately obtains, namely can carry out with this Measurement accuracy of various signals in the electric system, as carrying out the measurement of magnitude of voltage, current value according to the frequency of measuring, perhaps carry out power quality analysis etc.

Claims (7)

1. the measuring method of an electric system medium frequency is used for the frequency of the measured signal waveform of real-time follow-up electric system, it is characterized in that, the method comprises the steps:
(1) set up rectangular coordinate system according to waveform to be measured, wherein transverse axis is the time, and the longitudinal axis is signal value, and this waveform to be measured is symmetrical about transverse axis, and the intersection point of itself and transverse axis is theoretical zero crossing;
(2) waveform to be measured is carried out continuous sampling, find to be positioned at arbitrarily the first theoretical zero crossing O 1Two sampled point u both sides and continuous I-1And u i, and be positioned at this first theoretical zero crossing O 1After be adjacent and the second theoretical zero crossing O that the rate of change symbol is identical 2Two sampled point u of both sides J-1And u j, wherein i, j are respectively the time series number of sampled point;
(3) determine approximate zero crossing according to sampled point
Straight line connects two sampled point u I-1And u i, with the intersection points B of itself and transverse axis 1Be defined as the first approximate zero crossing, straight line connects two sampled point u J-1And u j, with the intersection points B of itself and transverse axis 2Be defined as the second approximate zero crossing;
(4) according to above-mentioned definite approximate zero crossing, can measure the frequency f of signal waveform to be measured, namely
f = 1 ( j - i ) × T s + t B 1 C 1 - t B 2 C 2
In the formula, T SBe sampling time interval,
Figure FDA00002135006900012
Be the first approximate zero crossing B 1With sampled point u iThe time point C of correspondence on transverse axis 1Between the time interval,
Figure FDA00002135006900013
Be the second approximate zero crossing B 2With sampled point u jThe time point C of correspondence on transverse axis 2Between the time interval.
2. the method for real-time measurement of electric system medium frequency according to claim 1 is characterized in that, described measured signal waveform is periodic waveform, such as sinusoidal waveform, cosine waveform or non-sinusoidal periodic waveform.
3. the method for real-time measurement of electric system medium frequency according to claim 1 and 2 is characterized in that, described measured signal is voltage signal or current signal, electric field signal or field signal.
4. one of according to claim 1-3 the method for real-time measurement of described electric system medium frequency is characterized in that, the described first theoretical zero crossing and the second theoretical zero crossing are positioned at the same period of waveform to be measured.
5. one of according to claim 1-4 the method for real-time measurement of described electric system medium frequency is characterized in that, the accurate measured value of described frequency can obtain by averaged after measuring the frequency values in a plurality of cycles.
6. one of according to claim 1-5 the method for real-time measurement of described electric system medium frequency is characterized in that, described waveform to be measured can be processed through digital filtering first, carry out sampled measurements after filtering direct current and the noise again.
7. the measuring method in voltage, electric current, electric field or magnetic field in the electric system realizes by the frequency of measuring respective waveforms, and wherein, described frequency adopts one of claim 1-6 described method to measure.
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Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104155517A (en) * 2014-09-03 2014-11-19 国家电网公司 Error compensation method and system for non-full period sampling of digital electric energy meter
CN104237633A (en) * 2014-09-05 2014-12-24 许继集团有限公司 Quick frequency measurement method
CN104330622A (en) * 2014-10-29 2015-02-04 广东电网有限责任公司电力科学研究院 Sine wave parameter measuring method and system in electric power system
CN104407213A (en) * 2014-12-16 2015-03-11 电子科技大学 Power network signal fundamental frequency measurement method
CN104502698A (en) * 2014-12-10 2015-04-08 广东电网有限责任公司电力科学研究院 Method and system for measuring frequency of electric power signal
CN104569581A (en) * 2015-01-30 2015-04-29 湖南大学 Multi-level set and single-cycle estimation method of power grid frequency measuring
CN105259409A (en) * 2015-10-13 2016-01-20 安徽节源环保科技有限公司 Power signal frequency calculating method based on zero-crossing time-domain characteristic
CN106580299A (en) * 2015-10-14 2017-04-26 冯文强 Signal processing method and device used for heart rate measurement and intelligent watch
CN107860969A (en) * 2017-09-27 2018-03-30 北京金风科创风电设备有限公司 Wind generating set electric energy information acquisition device, system and method
CN108195021A (en) * 2017-12-29 2018-06-22 奥克斯空调股份有限公司 A kind of motor power frequency interpretation method, device and air-conditioning
CN109342814A (en) * 2018-09-05 2019-02-15 苏州光格设备有限公司 For determining the method, apparatus and storage medium of cable partial discharge operating frequency phase frequency
CN105652082B (en) * 2015-12-30 2019-06-11 深圳市科陆电子科技股份有限公司 High precision electro signal frequency measurement method and its device
CN112578306A (en) * 2020-12-28 2021-03-30 施耐德万高(天津)电气设备有限公司 Three-phase power supply fault identification method based on phase angle monitoring
CN113504406A (en) * 2021-06-22 2021-10-15 昇辉控股有限公司 Zero-crossing detection method and intelligent switch with zero-crossing detection function
CN114675136A (en) * 2022-04-26 2022-06-28 东南大学溧阳研究院 Method for processing voltage sag monitoring data of power distribution network
CN115575706A (en) * 2022-11-21 2023-01-06 保定新云达电力设备有限责任公司 Frequency continuous tracking measurement system and method suitable for electric energy meter calibrator

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101871965A (en) * 2010-06-11 2010-10-27 威胜集团有限公司 Method for detecting zero crossing time, frequency and phase difference of power sinusoidal signals
CN102236048A (en) * 2011-06-16 2011-11-09 国网电力科学研究院 Method for measuring phasor frequency of electric system
CN102608415A (en) * 2012-02-10 2012-07-25 南京弘毅电气自动化有限公司 Software frequency tracking algorithm on basis of weighted double fitting

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101871965A (en) * 2010-06-11 2010-10-27 威胜集团有限公司 Method for detecting zero crossing time, frequency and phase difference of power sinusoidal signals
CN102236048A (en) * 2011-06-16 2011-11-09 国网电力科学研究院 Method for measuring phasor frequency of electric system
CN102608415A (en) * 2012-02-10 2012-07-25 南京弘毅电气自动化有限公司 Software frequency tracking algorithm on basis of weighted double fitting

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
杨永标等: "一种实用的高精度频率测量方法", 《继电器》, vol. 35, 1 December 2007 (2007-12-01), pages 272 - 275 *
王东等: "一种电力***频率的实时估算方法", 《继电器》, vol. 32, no. 19, 16 September 2004 (2004-09-16), pages 17 - 19 *
金华烽等: "电力***频率的实时估算", 《继电器》, vol. 26, no. 3, 30 June 1998 (1998-06-30), pages 17 - 20 *
黄纯等: "电力***频率实时测量新算法", 《湖南大学学报( 自然科学版)》, vol. 26, no. 4, 31 August 1999 (1999-08-31), pages 63 - 66 *

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* Cited by examiner, † Cited by third party
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CN104155517A (en) * 2014-09-03 2014-11-19 国家电网公司 Error compensation method and system for non-full period sampling of digital electric energy meter
CN104155517B (en) * 2014-09-03 2017-03-08 国家电网公司 A kind of non-integer-period sampled error compensating method of digitalized electrical energy meter and system
CN104237633A (en) * 2014-09-05 2014-12-24 许继集团有限公司 Quick frequency measurement method
CN104237633B (en) * 2014-09-05 2017-01-18 许继集团有限公司 Quick frequency measurement method
CN104330622A (en) * 2014-10-29 2015-02-04 广东电网有限责任公司电力科学研究院 Sine wave parameter measuring method and system in electric power system
CN104330622B (en) * 2014-10-29 2017-06-09 广东电网有限责任公司电力科学研究院 The frequency measurement method and system of sine wave signal in power system
CN104502698A (en) * 2014-12-10 2015-04-08 广东电网有限责任公司电力科学研究院 Method and system for measuring frequency of electric power signal
CN104502698B (en) * 2014-12-10 2017-07-14 广东电网有限责任公司电力科学研究院 The frequency measurement method and system of electric power signal
CN104407213B (en) * 2014-12-16 2017-05-17 电子科技大学 Power network signal fundamental frequency measurement method
CN104407213A (en) * 2014-12-16 2015-03-11 电子科技大学 Power network signal fundamental frequency measurement method
CN104569581A (en) * 2015-01-30 2015-04-29 湖南大学 Multi-level set and single-cycle estimation method of power grid frequency measuring
CN105259409A (en) * 2015-10-13 2016-01-20 安徽节源环保科技有限公司 Power signal frequency calculating method based on zero-crossing time-domain characteristic
CN105259409B (en) * 2015-10-13 2017-11-28 安徽节源环保科技有限公司 A kind of frequency power signal computational methods based on zero passage time domain specification
CN106580299A (en) * 2015-10-14 2017-04-26 冯文强 Signal processing method and device used for heart rate measurement and intelligent watch
CN105652082B (en) * 2015-12-30 2019-06-11 深圳市科陆电子科技股份有限公司 High precision electro signal frequency measurement method and its device
CN107860969A (en) * 2017-09-27 2018-03-30 北京金风科创风电设备有限公司 Wind generating set electric energy information acquisition device, system and method
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CN113504406A (en) * 2021-06-22 2021-10-15 昇辉控股有限公司 Zero-crossing detection method and intelligent switch with zero-crossing detection function
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