CN103487754A - Wind power generation digital flickermeter for small-scale wind speed environment - Google Patents
Wind power generation digital flickermeter for small-scale wind speed environment Download PDFInfo
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- CN103487754A CN103487754A CN201310391895.1A CN201310391895A CN103487754A CN 103487754 A CN103487754 A CN 103487754A CN 201310391895 A CN201310391895 A CN 201310391895A CN 103487754 A CN103487754 A CN 103487754A
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- 238000010248 power generation Methods 0.000 title abstract 4
- 238000009499 grossing Methods 0.000 claims abstract description 11
- 238000001914 filtration Methods 0.000 claims abstract description 6
- 230000005611 electricity Effects 0.000 claims description 7
- 230000001537 neural effect Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 abstract description 8
- 238000013528 artificial neural network Methods 0.000 abstract 2
- 239000000969 carrier Substances 0.000 abstract 1
- 230000035945 sensitivity Effects 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
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Abstract
The invention discloses a wind power generation digital flickermeter for small-scale wind speed environment. The wind power generation digital flickermeter is characterized by comprising an IEC flickermeter body used for receiving amplitude-modulated waves, carriers and carrier amplitude values and primarily working out the flickering result, a smoothing filter used for smoothing waves according to a convolution value, a wind speed sensor used for receiving wind speed information and converting the wind speed information to signal waves, a wind direction sensor used for receiving wind speed information and converting the wind speed information to signal waves, a low-pass filter used for filtering low-frequency signals in the wind speed sensor and low-frequency signals in the wind direction sensor, a high-pass filter used for filtering high-frequency signals in the wind speed sensor and high-frequency signals in the wind direction sensor, a feedback neural network used for introducing a flickering value and modifying the flickering result through the wind speed information and the wind direction information and a waveform outputting device used for converting output of the feedback neural network to the output of waveforms. Introducing wind information of a partial small-scale region to modify the flickering detection result, the wind power generation digital flickermeter improves wind power low-frequency signal detection sensitivity and precision.
Description
Technical field
The invention belongs to generating and electric energy management field, relate to a kind of wind-power electricity generation digital flicker towards small scale wind speed environment.
Background technology
Voltage fluctuation and flickering are one of main power quality problems of wind power generating set, must measure the flickering that it produces when wind power generating set is carried out to type approval, and then obtain the flickering coefficient; When being carried out to electric energy quality test, whole wind energy turbine set needs equally to measure the flickering that it produces.Accurately detect the wind-powered electricity generation voltage flicker, contribute to assess the impact that the wind-electricity integration voltage flicker causes system, the inhibition voltage flicker that contributes to take appropriate measures, have important effect to improving the quality of power supply.
Current industry is mainly used flickermeter to be based on " lamp-eye-brain " link principle of simulation of IEC, but the voltage fluctuation frequency caused due to wind-electricity integration is only 1～2Hz usually, the flickering system of this IEC principles of construction is responsive not to this low-frequency signals, causes that detecting error strengthens.
Variation has occurred in the wind environment that the basic reason that causes the wind-powered electricity generation flickering is actually the blower fan part, so consider that in the structure digital flicker factor of wind will be conducive to improve accuracy of detection.
summary of the inventiontechnical matters to be solved by this invention is to provide wind speed, the wind direction information under a kind of small scale environment that can introduce part, wind turbine position, and this information is incorporated into to the digital flicker among flicker detection, to improve accuracy of detection.
For solving the problems of the technologies described above, the invention provides a kind of wind-power electricity generation digital flicker towards small scale wind speed environment, it is characterized in that comprising:
(1) IEC flickering device, for receiving modulated wave, carrier wave and carrier amplitude value, primary Calculation goes out the flickering result;
(2) smoothing filter, for carrying out smoothing by ripple according to the convolution value;
(3) air velocity transducer, for receiving wind speed information, be converted to signal wave;
(4) wind transducer, for receiving wind direction information, be converted to signal wave;
(5) low-pass filter, for filtering out the low-frequency signals of air velocity transducer, wind transducer;
(6) Hi-pass filter, for filtering out the radio-frequency signal of air velocity transducer, wind transducer;
(7) feedback neural net, for introducing the flickering value, by wind speed, wind direction information, the flickering result being revised;
(8) waveform follower, be converted to waveform output for the output by the feedback neural net.
Compared with prior art, the invention has the beneficial effects as follows:
Introduce the wind breath in local small scale area the flicker detection result is revised, improve the susceptibility to the detection of wind-powered electricity generation low frequency signal, improve precision.
The accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Embodiment
As shown in Figure 1, the specific embodiment of the invention comprises:
(1) IEC flickering device, for receiving modulated wave, carrier wave and carrier amplitude value, primary Calculation goes out the flickering result;
(2) smoothing filter, carry out smoothing by ripple according to the convolution value;
(3) air velocity transducer, receive the wind speed information in local small scale area, is converted to signal wave;
(4) wind transducer, receive the wind direction information in local small scale area, is converted to signal wave;
(5) low-pass filter, filter out the low-frequency signals in air velocity transducer, wind transducer;
(6) Hi-pass filter, filter out the radio-frequency signal in air velocity transducer, wind transducer;
(7) feedback neural net, introduce the flickering value, by wind speed, wind direction information, the flickering result revised together;
(8) waveform follower, be converted to waveform output by the output of the refreshing machine net of feedback.
Principle of work: receipts modulated wave, carrier wave and carrier amplitude value that the test wind turbine is used are input among IEC flickering device, and IEC flickering device connects smoothing filter, by the flickering of primary Calculation smoothing as a result; The information of wind is received by air velocity transducer and wind transducer, and by low-pass filter and Hi-pass filter, the ripple information of wind is divided into to low frequency and two parts of high frequency, the feedback neural net receives the preliminary flicker detection result of smoothing filter output, and according to the output of low-pass filter and Hi-pass filter, the flickering result is revised, result is exported by the waveform follower.
Claims (1)
1. the wind-power electricity generation digital flicker towards small scale wind speed environment is characterized in that comprising:
(1) IEC flickering device, for receiving modulated wave, carrier wave and carrier amplitude value, primary Calculation goes out the flickering result;
(2) smoothing filter, for carrying out smoothing by ripple according to the convolution value;
(3) air velocity transducer, for receiving wind speed information, be converted to signal wave;
(4) wind transducer, for receiving wind direction information, be converted to signal wave;
(5) low-pass filter, for filtering out the low-frequency signals of air velocity transducer, wind transducer;
(6) Hi-pass filter, for filtering out the radio-frequency signal of air velocity transducer, wind transducer;
(7) feedback neural net, for introducing the flickering value, by wind speed, wind direction information, the flickering result being revised;
(8) waveform follower, be converted to waveform output for the output by the feedback neural net.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310391895.1A CN103487754A (en) | 2013-09-02 | 2013-09-02 | Wind power generation digital flickermeter for small-scale wind speed environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310391895.1A CN103487754A (en) | 2013-09-02 | 2013-09-02 | Wind power generation digital flickermeter for small-scale wind speed environment |
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| Publication Number | Publication Date |
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| CN103487754A true CN103487754A (en) | 2014-01-01 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201310391895.1A Pending CN103487754A (en) | 2013-09-02 | 2013-09-02 | Wind power generation digital flickermeter for small-scale wind speed environment |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104155542B (en) * | 2014-07-15 | 2017-01-18 | 中国船舶重工集团公司第七一九研究所 | Detection method suitable for flickering generated by high-frequency inter-harmonics |
| CN110397554A (en) * | 2019-09-05 | 2019-11-01 | 国电联合动力技术有限公司 | Wind turbines Yaw control method, device and the Wind turbines of intelligent optimizing |
| CN112782789A (en) * | 2020-12-25 | 2021-05-11 | 东营市气象局 | Typhoon movement prediction method and device |
-
2013
- 2013-09-02 CN CN201310391895.1A patent/CN103487754A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104155542B (en) * | 2014-07-15 | 2017-01-18 | 中国船舶重工集团公司第七一九研究所 | Detection method suitable for flickering generated by high-frequency inter-harmonics |
| CN110397554A (en) * | 2019-09-05 | 2019-11-01 | 国电联合动力技术有限公司 | Wind turbines Yaw control method, device and the Wind turbines of intelligent optimizing |
| CN112782789A (en) * | 2020-12-25 | 2021-05-11 | 东营市气象局 | Typhoon movement prediction method and device |
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| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140101 |
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| WD01 | Invention patent application deemed withdrawn after publication |