Flicker Parameters Detection Technology Based on Improved Energy Operator of Optimized Sampling Interval and MSLD-SCW Function Spectrum Correction in and Its Application in Wind Farms

Yanjiang QIU; Chao ZHANG; Xinyan ZHANG; Weiqing WANG

doi:10.11999/JEIT200617

Volume 43 Issue 8

Aug. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(8): 2214-2223

Yanjiang QIU, Chao ZHANG, Xinyan ZHANG, Weiqing WANG. Flicker Parameters Detection Technology Based on Improved Energy Operator of Optimized Sampling Interval and MSLD-SCW Function Spectrum Correction in and Its Application in Wind Farms[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2214-2223. doi: 10.11999/JEIT200617

Citation:

Yanjiang QIU, Chao ZHANG, Xinyan ZHANG, Weiqing WANG. Flicker Parameters Detection Technology Based on Improved Energy Operator of Optimized Sampling Interval and MSLD-SCW Function Spectrum Correction in and Its Application in Wind Farms[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2214-2223. doi: 10.11999/JEIT200617

Citation:

Yanjiang QIU, Chao ZHANG, Xinyan ZHANG, Weiqing WANG. Flicker Parameters Detection Technology Based on Improved Energy Operator of Optimized Sampling Interval and MSLD-SCW Function Spectrum Correction in and Its Application in Wind Farms[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2214-2223. doi: 10.11999/JEIT200617

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Flicker Parameters Detection Technology Based on Improved Energy Operator of Optimized Sampling Interval and MSLD-SCW Function Spectrum Correction in and Its Application in Wind Farms

doi: 10.11999/JEIT200617

1.
Faculty of Information Technology, Macau University of Science and Technology, Macau 999078, China
2.
Guangzhou Power Supply Bureau, Guangdong Power Grid, Co., Ltd., Guangdong 510620, China
3.
Engineering Research Center for Renewable Energy Power Generation & Grid Technology Approved by Education Ministry for its Establishment under College of Electrical Engineering, Xinjiang University, Urumqi 830047, China

Funds: The National Natural Science Foundation of China(51667018)

Received Date: 2020-07-24
Rev Recd Date: 2021-01-24

Available Online: 2021-02-06

Publish Date: 2021-08-10

Abstract

Abstract

With the wide development and application of grid-connected wind power generation and power electronics technologies, the voltage fluctuation and flicker problem can not be ignored in smart grid. Considering the voltage flicker model under rectangular wave modulation which is more sensitive to human eyes, a method for detecting voltage flicker envelope parameters based on improved energy operator and windowed interpolation Fast Fourier Transform (FFT) is proposed. By optimizing the sampling interval of energy operator, the voltage fluctuation components can be accurately extracted. A Maximum Side-Lobe Decay(MSLD) Self-Convolution Window(MSLD-SCW) function with excellent frequency domain performance can be obtained by improved six-term combined cosine window with MSLD, the rectification formula of spectral line interpolation based on new MSLD-SCW is derived, and the detection and analysis of flicker parameters are realized accordingly. The simulation results indicate that the optimization and improvement algorithm can effectively maintain higher detection accuracy than the traditional methods in the case of single frequency rectangular wave modulation, multi-frequency modulation, containing harmonics and sub/supersynchronous inter-harmonics interference, power grid fundamental frequency deviation and noise interference. Finally, the optimization algorithm is applied to voltage flicker envelope parameters detection in a certain area of XinJiang, and the effectiveness of the algorithm is verified.
- Voltage flicker,
- Rectangular wave modulation,
- Envelope parameters detection,
- Improved energy operator,
- Self-Convolution Window (SCW),
- Spectral line interpolation

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References(16)

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