CN105137241A - Electric energy quality data acquisition method and apparatus adaptive to power grid frequency - Google Patents
Electric energy quality data acquisition method and apparatus adaptive to power grid frequency Download PDFInfo
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- CN105137241A CN105137241A CN201510552690.6A CN201510552690A CN105137241A CN 105137241 A CN105137241 A CN 105137241A CN 201510552690 A CN201510552690 A CN 201510552690A CN 105137241 A CN105137241 A CN 105137241A
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Abstract
The invention discloses an electric energy quality data acquisition method and apparatus adaptive to power grid frequency. The electric energy quality data acquisition apparatus comprises a universal electric energy quality data acquisition module and a sampling frequency adaptive module. The universal electric energy quality data acquisition module acquires and stores a voltage signal and a current signal from a mutual inductor. The sampling frequency adaptive module converts, by using a second-order active low-pass filter and a zero-crossing comparator, an input power signal into a square wave and inputs the square wave into a sample frequency controller of an FPGA. The sample frequency controller measures the fundamental wave period and frequency of a tested electric signal by using a 100MHz clock, adjusts the sampling frequency of an ADC to be integral multiple of the fundamental wave frequency in real time every 10 or 12 periods, guarantees the integrity of acquired data, achieves adaptive dynamic adjustment of the sampling frequency, reduces spectrum leakage to the utmost extent, and improves electric energy quality parameter measurement accuracy.
Description
Technical field
The present invention relates to Power Quality Detection field, particularly a kind of power quality data acquisition method of self-adaptation mains frequency.
Background technology
Harmonic wave in electrical network is carried out in real time, measure accurately necessary.For the frequency analysis of electric system, usually all realized by Fast Fourier Transform (FFT) (FFT), but the frequency of electric system is not the moment is all this steady state value of specified power frequency, its can change within the scope of about specified power frequency.If, do not carry out the sampling of complete cycle ripple, sample frequency is asynchronous with signal frequency, just can produce spectrum leakage, makes the signal parameter (frequency, amplitude and phase place) that calculates inaccurate, especially the error of phase place is very large, cannot meet the requirement of measuring accuracy.
In actual measurement, adopting window function and interpolation algorithm to carry out correction to fast Fourier algorithm can reduce spectrum leakage, but need gather multicycle data analysis, poor real.
Summary of the invention
The object of this invention is to provide a kind of quality of power supply acquisition method of self-adaptation mains frequency, the automatic Tracking Frequency of Power Grids of sample frequency is realized by the sample frequency adaptation module of second-order low-pass filter and zero-crossing comparator composition, ensure integrality, the accuracy of image data, improve the measuring accuracy of system.
The object of the invention is to be realized by following technical scheme:
A kind of power quality data acquisition method of self-adaptation mains frequency.General power quality data acquisition module carries out data acquisition to from the voltage of mutual inductor, current signal; Sample frequency adaptation module adopts second order active low-pass filter and zero-crossing comparator the electric power signal of input to be converted to the sample frequency controller of square wave input to FPGA; Sample frequency controller measures tested electric signals primitive period and frequency in real time by 100MHz clock, and the measuring error of primitive period controls in ± 20ns scope.
Further, the fundamental measurement of power quality parameter requires that the time interval is 10 (50Hz electric system) or 12 cycles (60Hz electric system), and power quality data harvester every 10 cycles (50Hz electric system) or 12 cycles (60Hz electric system) of self-adaptation mains frequency adjust a sample frequency; The sample frequency that sample frequency controller adjusts ADC is in real time the integral multiple of fundamental frequency, realizes the self-adaptation dynamic conditioning of sample frequency, reduces spectrum leakage to greatest extent, improves the accuracy that the power quality parameters such as frequency analysis are measured.
The present invention also aims to the power quality data harvester that a kind of self-adaptation mains frequency is provided.
Described device comprises general power quality data acquisition module and sample frequency adaptation module; General power quality data acquisition module mainly comprises low-pass filter, analog-digital converter ADC, on-site programmable gate array FPGA, static RAM SRAM and usb communication module; Sample frequency adaptation module mainly comprises second order active low-pass filter, zero-crossing comparator and sample frequency controller.
Adopt the solution of the present invention, the electric signal of voltage, current transformer is through the interference of low-pass filter filtering out high-frequency and noise signal.Convert digital signal to through ADC, realize data by FPGA and store and usb communication.Meanwhile, the electric signal of mutual inductor also can through second-order low-pass filter filtering, and this second-order low-pass filter has lower cutoff frequency and only retains spectrum signal near first-harmonic.Filtered signal converts by zero-crossing comparator the sample frequency controller that square-wave signal transfers to FPGA inside to.The sample frequency of ADC, by the 100MHz clock cycle T of measuring-signal first-harmonic and frequency f in real time, is set to the integral multiple of current electric grid frequency f by sample frequency controller.Realize the self-adaptation dynamic conditioning of the sample frequency when power quality data gathers thus.
The invention has the beneficial effects as follows:
(1) adopt second-order low-pass filter and zero-crossing comparator to convert the electric power signal of input to square wave, FPGA inside adopts 100MHz clock, makes the circular error measured control, within the scope of ± 20ns, to improve measuring accuracy.
(2) the power quality data harvester of self-adaptation mains frequency can sampling rate adjusting in real time, and synchronism output sampled value and mains frequency.
(3) realize sample frequency self-adaptation dynamic conditioning by sample frequency adaptation module, reduce spectrum leakage, guarantee the integrality of image data.Meanwhile, the present invention is not only applicable to electric system, can also be widely used in aerodynamic scope test, other data collecting field such as the test of vibration, strain, impact structure mechanics field.
Below in conjunction with the drawings and specific embodiments, the invention will be further described.
Accompanying drawing explanation
Fig. 1 is work block diagram of the present invention.
Fig. 2 is the schematic diagram of 8 passage power quality data harvesters of embodiment of the present invention self-adaptation mains frequency.
Embodiment
Below in conjunction with accompanying drawing, structure of the present invention is described in further detail.
As shown in Figure 1, the electric signal from voltage, current transformer inputs to analog-digital converter ADC through low-pass filter, and the digital data transmission after conversion is inner to FPGA, realizes the storage of data, process and usb communication function by FPGA.Meanwhile, the electric signal of mutual inductor is again through the filtering of second order active low-pass filter, and filtered signal converts by zero-crossing comparator the sample frequency controller that square-wave signal transfers to FPGA inside to.The sample frequency of ADC by the frequency values f of 100MHz clock measuring-signal first-harmonic in real time, and is set to the integral multiple of current electric grid frequency f by sample frequency controller, carries out adaptive dynamic conditioning to sample frequency.
Embodiment
Fig. 2 is the schematic diagram of 8 passage power quality data harvesters of self-adaptation mains frequency.Wherein 4 road voltage signal U
a, U
b, U
c, U
nobtained by voltage transformer (VT), 4 road current signal I
a, I
b, I
c, I
nobtained by current transformer.By passage U
arealize the tracking measurement to mains frequency, on this basis all Channel Synchronous are carried out to the adjustment of sample frequency simultaneously.8 passage power quality data harvesters of self-adaptation mains frequency comprise 8 road power quality datas and gather and 1 sample frequency adaptation module.General power quality data acquisition module mainly comprises low-pass filter (Low-filter), analog-digital converter ADC), field programmable gate array (FPGA), static RAM (SRAM) and usb communication module.Sample frequency adaptation module mainly comprises second order active low-pass filter (SecondOrderActiveLowPassFilter), zero-crossing comparator (ZeroPassingComparator) and sample frequency controller (SampleFrequencyController).
Electric signal is inputted by panel, inputs to 16bit high-precision adc through low-pass filter, and ADC converts the simulating signal of input to two's complement data and inputs to FPGA inside; Simultaneously, the first-harmonic sinusoidal signal obtained through second order active low-pass filter is inputed to zero-crossing comparator, the square-wave signal that zero-crossing comparator produces also inputs to FPGA inside, the sampling control module of FPGA inside measures the periodic quantity of measured signal first-harmonic in real time by 100MHz clock, real-time synchronization upgrades the integral multiple that sample frequency is electrical network fundamental frequency, realizes complete signal data acquisition.
The FIFO of FPGA inside and SRAM controller are by SRAM stored in FPGA periphery of the binary data that gathers, this SRAM is configured to the access module of FIFO, user can connect the storage constantly carrying out data acquisition, not by the restriction of storage depth, realizes continuous print data acquisition and deposit.After once sampling terminates, the sampled data of depositing in sram is read by usb bus by host computer.
Claims (3)
1. a power quality data acquisition method for self-adaptation mains frequency, is characterized in that, general power quality data acquisition module carries out data acquisition to from the voltage of mutual inductor, current signal; Sample frequency adaptation module adopts second order active low-pass filter and zero-crossing comparator the electric power signal of input to be converted to the sample frequency controller of square wave input to FPGA; Sample frequency controller measures tested electric signals primitive period and frequency in real time by 100MHz clock, and the measuring error of primitive period controls in ± 20ns scope.
2. method according to claim 1, it is characterized in that: the fundamental measurement of power quality parameter requires that the time interval is 10 (50Hz electric system) or 12 cycles (60Hz electric system), and power quality data harvester every 10 cycles (50Hz electric system) or 12 cycles (60Hz electric system) of self-adaptation mains frequency adjust a sample frequency; The sample frequency that sample frequency controller adjusts ADC is in real time the integral multiple of fundamental frequency, realizes the self-adaptation dynamic conditioning of sample frequency, reduces spectrum leakage to greatest extent, improves the accuracy that the power quality parameters such as frequency analysis are measured.
3. a power quality data harvester for self-adaptation mains frequency, is characterized in that, comprises general power quality data acquisition module and sample frequency adaptation module; General power quality data acquisition module mainly comprises low-pass filter, analog-digital converter ADC, on-site programmable gate array FPGA, static RAM SRAM and usb communication module; Sample frequency adaptation module mainly comprises second order active low-pass filter, zero-crossing comparator and sample frequency controller.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105510677A (en) * | 2016-01-15 | 2016-04-20 | 中国船舶重工集团公司第七一一研究所 | Universal three-phase electricity collecting equipment and system |
| CN105572554A (en) * | 2015-12-29 | 2016-05-11 | 国网山西省电力公司大同供电公司 | Wireless sensing network on-line insulation detection frequency adaptive measuring method |
| CN115356534A (en) * | 2022-10-21 | 2022-11-18 | 成都特隆美储能技术有限公司 | Method for reducing frequency spectrum leakage during power grid current FFT harmonic extraction |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201035054Y (en) * | 2007-05-30 | 2008-03-12 | 华南理工大学 | Portable electric energy quality monitoring analyzer based on double CPU mode |
| CN102565574A (en) * | 2011-12-06 | 2012-07-11 | 中国人民解放军海军工程大学 | Ship electric energy quality monitoring system |
| CN102608452A (en) * | 2012-02-24 | 2012-07-25 | 安徽建筑工业学院 | High speed train equipment state and electric energy quality monitoring system and method |
| CN102759675A (en) * | 2012-07-27 | 2012-10-31 | 深圳市中电软件有限公司 | On-line electric energy quality monitoring device |
| CN103353558A (en) * | 2013-05-31 | 2013-10-16 | 深圳市康必达控制技术有限公司 | Power quality monitoring method |
| CN204575714U (en) * | 2015-01-16 | 2015-08-19 | 广西电网有限责任公司电力科学研究院 | A kind of quality of power supply energy-consumption monitoring device |
-
2015
- 2015-09-02 CN CN201510552690.6A patent/CN105137241A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201035054Y (en) * | 2007-05-30 | 2008-03-12 | 华南理工大学 | Portable electric energy quality monitoring analyzer based on double CPU mode |
| CN102565574A (en) * | 2011-12-06 | 2012-07-11 | 中国人民解放军海军工程大学 | Ship electric energy quality monitoring system |
| CN102608452A (en) * | 2012-02-24 | 2012-07-25 | 安徽建筑工业学院 | High speed train equipment state and electric energy quality monitoring system and method |
| CN102759675A (en) * | 2012-07-27 | 2012-10-31 | 深圳市中电软件有限公司 | On-line electric energy quality monitoring device |
| CN103353558A (en) * | 2013-05-31 | 2013-10-16 | 深圳市康必达控制技术有限公司 | Power quality monitoring method |
| CN204575714U (en) * | 2015-01-16 | 2015-08-19 | 广西电网有限责任公司电力科学研究院 | A kind of quality of power supply energy-consumption monitoring device |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105572554A (en) * | 2015-12-29 | 2016-05-11 | 国网山西省电力公司大同供电公司 | Wireless sensing network on-line insulation detection frequency adaptive measuring method |
| CN105510677A (en) * | 2016-01-15 | 2016-04-20 | 中国船舶重工集团公司第七一一研究所 | Universal three-phase electricity collecting equipment and system |
| CN115356534A (en) * | 2022-10-21 | 2022-11-18 | 成都特隆美储能技术有限公司 | Method for reducing frequency spectrum leakage during power grid current FFT harmonic extraction |
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