CN115078829A - Current and voltage frequency detection method and detection system for power system - Google Patents
Current and voltage frequency detection method and detection system for power system Download PDFInfo
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- CN115078829A CN115078829A CN202210754963.5A CN202210754963A CN115078829A CN 115078829 A CN115078829 A CN 115078829A CN 202210754963 A CN202210754963 A CN 202210754963A CN 115078829 A CN115078829 A CN 115078829A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/16—Spectrum analysis; Fourier analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/16—Spectrum analysis; Fourier analysis
- G01R23/165—Spectrum analysis; Fourier analysis using filters
- G01R23/167—Spectrum analysis; Fourier analysis using filters with digital filters
Abstract
The invention discloses a method and a system for detecting current and voltage frequency of a power system, which comprises the following steps: acquiring current and voltage signals in the power system point by point according to any initial sampling frequency to obtain a plurality of sampling point signals; carrying out point-by-point Fourier transform on a plurality of sampling point signals to filter out harmonic waves to obtain filtering signals; calculating a zero crossing point Z by adopting an interpolation method according to the filtering signal; and calculating the frequency of the filtering signal according to the zero crossing point Z to obtain the standard sampling frequency, updating the initial sampling frequency, re-collecting the current and voltage signals, and calculating the standard amplitude. The calculation method can accurately calculate only by the data information of the adjacent data windows, has small memory requirement and simple and convenient calculation, is beneficial to a system with small memory and weak calculation capability, eliminates the influence of power grid harmonic waves and direct current components, and has accurate calculation result.
Description
Technical Field
The invention belongs to the technical field of power measurement, and particularly relates to a current and voltage frequency detection method and a current and voltage frequency detection system for a power system.
Background
In power technology, the frequency calculation of current and voltage is very important and is one of the most important characteristic quantities of a power system. At present, most of the methods for detecting the zero crossing point are directly adopted to calculate the frequency, the algorithm is simple, the measuring speed is high, but the method is easily influenced by the harmonic wave of the power grid and the direct current component. The method not only needs the fourier filtering but also needs to restore the signal fundamental wave through the result of the fourier filtering, so that the required memory is larger, the number of sampling points is more, the required memory is larger, the calculated amount is larger, and the method is not beneficial to MCU systems with small memory and low calculation capability.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a current and voltage frequency detection method and a detection system of a power system, and aims to solve the problem that in the prior art, the frequency is calculated by directly adopting a zero crossing point detection method, so that the detection result is inaccurate due to the influence of power grid harmonic waves and direct current components; and the fundamental wave of the signal is restored by adopting Fourier filtering, and the frequency is calculated by adopting a method for detecting the zero crossing point, so that the required memory is larger, the more the number of sampling points is, the larger the ratio of the data volume to be processed is, and the problem of being not beneficial to MCU systems with small memory and low computing capability is solved.
The invention is realized by adopting the following technical scheme:
a method for detecting current voltage frequency of a power system comprises the following steps:
acquiring current and voltage signals in the power system point by point according to any initial sampling frequency to obtain a plurality of sampling point signals;
carrying out point-by-point Fourier transform on a plurality of sampling point signals to filter out harmonic waves to obtain filtering signals;
calculating a zero crossing point Z by adopting an interpolation method according to the filtering signal;
and calculating the frequency of the filtering signal according to the zero crossing point Z to obtain the standard sampling frequency, updating the initial sampling frequency, re-collecting the current and voltage signals, and calculating the standard amplitude.
In order to optimize the technical scheme, the specific measures adopted further comprise:
further, according to arbitrary initial sampling frequency, current-voltage signal in the electric power system is gathered point by point, before obtaining a plurality of sampling point signals, still include:
and acquiring related parameters of a waveform diagram of the current and voltage signal, wherein the related parameters of the waveform diagram comprise amplitude, phase angle and period.
Further, a plurality of sampling point signals are subjected to point-by-point fourier transform to filter out harmonic waves, and a filtering signal is obtained, specifically:
dividing a plurality of sampling signals according to the period of a waveform diagram, wherein each period comprises N sampling point signals;
starting from N +1 sampling point signals, and counting N sampling point signals forward from each sampling point signal to form a plurality of data windows;
and carrying out point-by-point Fourier transform on the N sampling point signals in each data window to filter out harmonic waves and obtain a filtering signal.
Further, calculating a zero crossing point Z by an interpolation method according to the filtering signal, specifically:
selecting two adjacent sampling point signals A and B in adjacent filtering signals;
establishing a rectangular coordinate system, judging the vertical coordinates of the sampling point A and the sampling point B by using the following formula, if the formula is not met, reselecting the adjacent sampling point signal A and the sampling point signal B,
y 0 >0，y 1 <0；
calculating the coordinate of the zero crossing point Z according to the coordinates of the sampling point signal A and the sampling point signal B,
wherein: the coordinate of the sampling point signal A is (t) 0 ，y 0 ) The coordinate of the sampling point signal B is (t) 1 ,y 1 ) The coordinate of the zero-crossing point signal Z is (t, 0).
Further, the frequency of the filtering signal is calculated according to the zero crossing point Z to obtain a standard sampling frequency, and any sampling frequency is adjusted by using the standard sampling frequency, specifically:
calculating the period of the filtering signal according to the coordinates of the adjacent zero-crossing point signals;
calculating the frequency of the filtered signal according to the period of the filtered signal to obtain a standard sampling frequency,
and updating the initial sampling frequency by using the standard sampling frequency, re-collecting the current and voltage signals, and calculating the standard amplitude.
A current-voltage frequency detection system for an electric power system comprises,
the acquisition module acquires current and voltage signals of current and voltage of the power system according to a certain sampling frequency to obtain a plurality of sampling point signals;
the processing module is used for periodically dividing the sampling points to form a plurality of data windows and carrying out point-by-point Fourier transform on the sampling points in each data window to obtain a filtering signal;
the computing module is used for computing a zero crossing point Z by adopting an interpolation method according to the filtering signal and computing a standard sampling frequency according to the zero crossing point;
and the updating module updates the initial sampling frequency according to the standard sampling frequency.
The invention has the beneficial effects that:
compared with the prior art, the method for detecting the current-voltage frequency of the power system divides a plurality of sampling signals according to the period of the current-voltage signals to form a plurality of data windows, and filters the sampling signals in the data windows in a point-by-point filtering mode, so that the influences of power grid harmonic waves and direct current components are eliminated.
Drawings
Fig. 1 is a flowchart of a method for detecting a current-voltage frequency of an electric power system according to a first embodiment of the present invention.
Fig. 2 is a waveform diagram of an unfiltered pre-sampling point signal provided by the first embodiment of the present invention.
Fig. 3 is a waveform diagram of a filtered sampling point signal according to the first embodiment of the present invention.
Fig. 4 is a distribution diagram of the coordinates of the sampling point signals provided by the first embodiment of the present invention.
Fig. 5 is a flowchart of zero-crossing point calculation according to the first embodiment of the present invention.
Fig. 6 is a block diagram of a module according to a second embodiment of the present invention.
Fig. 7 is a schematic structural diagram of a network-side server according to a third embodiment of the present invention.
Detailed Description
In order to clarify the technical solution and the working principle of the present invention, the present invention is further described in detail with reference to the following embodiments in conjunction with the accompanying drawings, it should be noted that, in the premise of not conflicting, any combination between the embodiments described below or between the technical features may form a new embodiment.
First embodiment
Example 1
The invention provides a method for detecting current and voltage frequency of a power system as shown in figures 1-4, which comprises the following steps:
step S1: and acquiring current and voltage signals in the power system point by point according to any initial sampling frequency to obtain a plurality of sampling point signals.
Specifically, the method comprises the following steps: before collecting current and voltage signals in an electric power system point by point, acquiring related parameters of a waveform diagram of the current and voltage signals in the electric power system for subsequent analysis, wherein the related parameters of the waveform diagram comprise amplitude, phase angle and period, and the current and voltage signals of the electric power system take a sine wave as an example and are represented as follows:
u(t)＝U*cos(ωt)
ω＝2πf
wherein: u represents the amplitude of the current voltage, ω represents the angular frequency, and t represents time;
the sample point signal is then expressed as:
sample point signal 1 is: u (1) ═ U cos (2 pi/n 1);
......
the sampling point signal n-1 is: u (n-1) ═ U cos (2 pi/n (n-1)).
Step S2: and carrying out point-by-point Fourier transform on the plurality of sampling point signals to filter out harmonic waves to obtain a filtering signal.
Specifically, the method comprises the following steps: when the data window is divided, for example, in a first oscillogram period, N sampling points are included, and the N sampling points are counted from the N +1 th sampling point to the front, so that a first data window is formed; from the N +2 th sample point, N sample points are counted forward, thereby forming a second data window. The data in the first data window and the second data window are then subjected to a point-by-point fourier transform filtering, which is expressed as follows:
the vector of the 0 th sampling point signal is U < 2 pi/n 0, namely the amplitude is U, and the phase angle is 2 pi/n 0;
the vector of the 1 st sampling point signal is U < 2 pi/n < 1 >, namely the amplitude is U, and the phase angle is 2 pi/n < 1 >;
……
the vector of the n-1 sampling point signal is U < 2 pi/n (n-1), namely the amplitude is U, and the phase angle is 2 pi/n (n-1);
the vector amplitude of the sampling point signal in each data window is the same, the phase angle of adjacent vectors is different by 2 pi/n, the vector is expressed as the combination of a real part and an imaginary part, and the real part and the imaginary part of the vector are sine and cosine signals with the same amplitude and frequency as the original signal,
U＝U r +iU x ，U r ＝U*cosθ，U x ＝U*sinθ，
wherein: theta denotes the phase angle 2 pi/n (n-1), U, of the vector r Representing the real part of the vector, U x Representing the imaginary part of the vector.
S21: dividing a plurality of sampling signals according to the period of a waveform diagram, wherein each period comprises N sampling point signals;
s22: starting from N +1 sampling point signals, and counting N sampling point signals forward from each sampling point signal to form a plurality of data windows;
s23: and carrying out point-by-point Fourier transform on the N sampling point signals in each data window to filter out harmonic waves and obtain a filtering signal.
Step S3: and calculating the zero crossing point Z by adopting an interpolation method according to the filtering signal.
Specifically, the method comprises the following steps: because the sampling is discrete, the sampling cannot be exactly to the zero-crossing point, most of the time, the sampling is to the point near the zero-crossing point, and in order to improve the precision of frequency calculation, the accurate zero-crossing point needs to be found.
S31: selecting two adjacent sampling point signals A and B in adjacent filtering signals;
s32: establishing a rectangular coordinate system, judging the vertical coordinates of the sampling point A and the sampling point B by using the following formula, if the formula is not met, reselecting the adjacent sampling point signal A and the sampling point signal B,
y 0 >0，y 1 <0；
s33: calculating the coordinate of the zero crossing point Z according to the coordinates of the sampling point signal A and the sampling point signal B,
wherein: the coordinate of the sampling point signal A is (t) 0 ，y 0 ) The coordinate of the sampling point signal B is (t) 1 ,y 1 ) The coordinate of the zero-crossing point signal Z is (t, 0).
Step S4: and calculating the frequency of the filtering signal according to the zero crossing point Z to obtain the standard sampling frequency, updating the initial sampling frequency, re-collecting the current and voltage signals, and calculating the standard amplitude.
S41: calculating the period of the filtering signal according to the coordinates of the adjacent zero-crossing point signals;
s42: calculating the frequency of the filtered signal according to the period of the filtered signal to obtain a standard sampling frequency,
s43: and updating the initial sampling frequency by using the standard sampling frequency, re-collecting the current and voltage signals, and calculating the standard amplitude.
Example 2
In order to verify and explain the technical effects adopted in the calculation method, the present embodiment will adopt the method to perform actual detection and verification on the current-voltage signal.
The signal frequency of the verified current-voltage signal is 51Hz, the waveform of the harmonic wave is superposed, the initial sampling frequency is 1200Hz, and a sampling point data distribution table and a sampling point data waveform diagram are obtained, as shown in the table I and fig. 2. In fig. 2, the abscissa is the number of the sampled point, and the ordinate is the value of the signal sampling point.
Table-sampling point data distribution table
After fourier transform filtering is performed on the sampling point data, a real part data table and a new waveform diagram formed after filtering are obtained, as shown in table two and fig. 3.
Data table of table two real parts
| |
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| Data of | 115 | 759 | 1273 | 1714 | 2055 | 2203 | 2253 | 2164 | 1846 | 1426 |
| |
10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 |
| Data of | 915 | 298 | -274 | -823 | -1384 | -1808 | -2107 | -2290 | -2238 | -2041 |
| |
20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 |
| Data of | -1762 | -1312 | -785 | -225 | 428 | 1018 | 1485 | 1896 | 2145 | 2234 |
| |
30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 |
| Data of | 2238 | 2037 | 1654 | 1203 | 629 | 18 | -527 | -1094 | -1606 | -1958 |
| |
40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 |
| Data of | -2217 | -2295 | -2152 | -1926 | -1570 | -1065 | -532 | 76 |
As shown in fig. 4, the signal is affected by the harmonic wave, the waveform diagram is disordered and the zero-crossing points are distributed irregularly, and the frequency of the signal calculated by the zero-crossing points of the waveform diagram is greatly different from the actual signal frequency. Fig. 5 is a new waveform diagram formed after point-by-point fourier filtering, the waveform is a standard sine-cosine waveform, is not affected by harmonics, and is convenient for calculating a zero crossing point, and the specific calculation is as follows:
sample point a:
sampling point B:
signal period: t ═ T B -t A ＝0.0292-0.0096＝0.0196s
Signal frequency:
error:
as shown in fig. 5, a flow chart of calculating a zero crossing point is shown, where Rnew represents a real part of a filtered signal obtained by fourier transform filtering a sampling point signal in a current data window, and Rold represents a real part of a filtered signal obtained by fourier transform filtering a sampling point signal in a previous data window, and by determining the real parts of two data windows, it is determined whether the sampling point signal is near the zero crossing point, and if the sampling point signal is not near the zero crossing point, a real part of a filtered signal of a new data window is obtained again until two adjacent real parts satisfy a determination formula: and if Rold is more than or equal to 0 and Rnew is less than 0, performing zero crossing point calculation tnew, calculating the signal frequency according to the zero crossing point, and updating the initial sampling frequency by taking the signal frequency as the standard sampling frequency.
The data show that the detection method only needs to sample one point each time, a new data window is formed by the sampling point and the first N-1 sampling points, point-by-point Fourier filtering is carried out to obtain a real part, the real part Rnew is recorded, the real part of the point-by-point Fourier filtering during the previous sampling is recorded as Rold, and the zero crossing point can be calculated through the 2 data and recorded as told. Repeating the above operations can also obtain a new zero-crossing point tnew, thereby calculating the signal frequency
Rnew and tnew are real-time calculation data, only 2 data of Rold and told need to be recorded in the whole calculation process, the memory requirement is very small, the calculation is simple and convenient, and the method is very beneficial to a system with small memory and weak calculation capability.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
Second embodiment:
as shown in fig. 5, a second embodiment of the present invention provides a current-voltage frequency detection system for an electric power system, including,
the acquisition module 201 acquires current and voltage signals of current and voltage of the power system according to a certain sampling frequency to obtain a plurality of sampling point signals;
the processing module 202 is configured to perform periodic division on the sampling point signals to form a plurality of data windows, and perform point-to-point fourier transform on the sampling point signals in each data window to obtain filtered signals;
the calculating module 203 calculates a zero crossing point signal by an interpolation method according to the filtering signal, and calculates the frequency of the filtering signal as a standard sampling frequency according to the zero crossing point signal;
and the updating module 204 updates the initial sampling frequency according to the standard sampling frequency, and acquires the voltage and current signals of the next period.
It should be understood that this embodiment is a system example corresponding to the first embodiment, and may be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
The third embodiment:
as shown in fig. 6, a third embodiment of the present invention provides a network side server, including: at least one processor 301; and a memory 302 communicatively coupled to the at least one processor; the memory 302 stores instructions executable by the at least one processor 301, and the instructions are executed by the at least one processor 301, so that the at least one processor 301 can execute the power system current-voltage frequency detection method.
Where the memory 301 and the processor 301 are coupled in a bus, the bus may comprise any number of interconnected buses and bridges that couple one or more of the various circuits of the processor 301 and the memory 301 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, etc., which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 301 is transmitted over a wireless medium through an antenna, which further receives the data and transmits the data to the processor 301.
The processor 301 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 301 may be used to store data used by processor 301 in performing operations.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (6)
1. A method for detecting current voltage frequency of a power system is characterized by comprising the following steps:
acquiring current and voltage signals in the power system point by point according to any initial sampling frequency to obtain a plurality of sampling point signals;
carrying out point-by-point Fourier transform on a plurality of sampling point signals to filter out harmonic waves to obtain filtering signals;
calculating a zero crossing point Z by adopting an interpolation method according to the filtering signal;
and calculating the frequency of the filtering signal according to the zero crossing point Z to obtain the standard sampling frequency, updating the initial sampling frequency, re-collecting the current and voltage signals, and calculating the standard amplitude.
2. The method for detecting the current-voltage frequency of the power system according to claim 1, wherein before acquiring the current-voltage signal of the power system point by point according to any initial sampling frequency and obtaining a plurality of sampling point signals, the method further comprises:
and acquiring related parameters of a waveform diagram of the current and voltage signal, wherein the related parameters of the waveform diagram comprise amplitude, phase angle and period.
3. The method according to claim 2, wherein the step-by-step fourier transform is performed on the plurality of sampling point signals to filter out harmonics, so as to obtain a filtered signal, specifically:
dividing a plurality of sampling signals according to the period of a waveform diagram, wherein each period comprises N sampling point signals;
starting from N +1 sampling point signals, and counting N sampling point signals forward from each sampling point signal to form a plurality of data windows;
and carrying out point-by-point Fourier transform on the N sampling point signals in each data window to filter out harmonic waves and obtain a filtering signal.
4. The method for detecting the current-voltage-frequency of the power system according to claim 3, wherein the zero-crossing point Z is calculated by an interpolation method according to the filtering signal, specifically:
selecting two adjacent sampling point signals A and B in adjacent filtering signals;
establishing a rectangular coordinate system, judging the vertical coordinates of the sampling point A and the sampling point B by using the following formula, if the formula is not met, reselecting the adjacent sampling point signal A and the sampling point signal B,
y 0 >0，y 1 <0；
calculating the coordinate of the zero crossing point Z according to the coordinates of the sampling point signal A and the sampling point signal B,
wherein: the coordinate of the sampling point signal A is (t) 0 ，y 0 ) The coordinate of the sampling point signal B is (t) 1 ,y 1 ) The coordinate of the zero-crossing point signal Z is (t, 0).
5. The method for detecting the current-voltage frequency of the power system according to claim 4, wherein the frequency of the filtering signal is calculated according to the zero-crossing point Z to obtain a standard sampling frequency, the standard sampling frequency is used to update the initial sampling frequency, and the current-voltage signal of the next cycle is collected, specifically:
calculating the period of the filtering signal according to the coordinates of the adjacent zero-crossing point signals;
calculating the frequency of the filtered signal according to the period of the filtered signal to obtain a standard sampling frequency,
and updating the initial sampling frequency by using the standard sampling frequency, re-collecting the current and voltage signals, and calculating the standard amplitude.
6. A power system current voltage frequency detection system characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the acquisition module acquires current and voltage signals of current and voltage of the power system according to a certain sampling frequency to obtain a plurality of sampling point signals;
the processing module is used for periodically dividing the sampling point signals to form a plurality of data windows and carrying out point-by-point Fourier transform on the sampling point signals in each data window to obtain filtering signals;
the computing module is used for computing a zero crossing point signal by adopting an interpolation method according to the filtering signal and computing the frequency of the filtering signal as a standard sampling frequency according to the zero crossing point signal;
and the updating module updates the initial sampling frequency according to the standard sampling frequency and acquires the voltage and current signals of the next period.
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| CN116359588A (en) * | 2023-05-31 | 2023-06-30 | 北京智芯微电子科技有限公司 | Sampling adjustment method and device based on frequency following and intelligent switch |
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| CN116359588A (en) * | 2023-05-31 | 2023-06-30 | 北京智芯微电子科技有限公司 | Sampling adjustment method and device based on frequency following and intelligent switch |
| CN116359588B (en) * | 2023-05-31 | 2023-08-25 | 北京智芯微电子科技有限公司 | Sampling adjustment method and device based on frequency following and intelligent switch |
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