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Photovoltaic Power Quality Analysis Based on the Modulation Broadband Mode Decomposition Algorithm

Author

Listed:
  • Zucheng Wang

    (Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Yanfeng Peng

    (Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Yanfei Liu

    (College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China)

  • Yong Guo

    (Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Yi Liu

    (National Innovation Center of Advanced Rail Transit Equipment, Zhuzhou 412000, China)

  • Hongyan Geng

    (Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Sai Li

    (Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Chao Fan

    (Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China)

Abstract

The Broadband Mode Decomposition (BMD) method was previously proposed to solve the Gibbs phenomenon that occurs during photovoltaic signal decomposition; its main idea is to build a dictionary which contains signal features, and to search in the dictionary to solve the problem. However, BMD has some shortcomings; especially if the relative bandwidth of the decomposed signal is not small enough, it may treat a square wave signal as several narrowband signals, resulting in a deviation in the decomposition effect. In order to solve the problem of relative bandwidth, the original signal is multiplied by a high-frequency, single-frequency signal, and the wideband signal is processed as an approximate wideband signal. This is the modulation broadband mode decomposition algorithm (MBMD) proposed in this article. In order to further identify and classify the disturbances in the photovoltaic direct current (DC) signal, the experiment uses composite multi-scale fuzzy entropy (CMFE) to calculate the components after MBMD decomposition, and then uses the calculated value in combination with the back propagation (BP) neural network algorithm. Simulation and experimental signals verify that the method can effectively extract the characteristics of the square wave component in the DC signal, and can successfully identify various disturbance signals in the photovoltaic DC signal.

Suggested Citation

  • Zucheng Wang & Yanfeng Peng & Yanfei Liu & Yong Guo & Yi Liu & Hongyan Geng & Sai Li & Chao Fan, 2021. "Photovoltaic Power Quality Analysis Based on the Modulation Broadband Mode Decomposition Algorithm," Energies, MDPI, vol. 14(23), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:7948-:d:689645
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    References listed on IDEAS

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    1. Cristina S. Polo López & Elena Lucchi & Eleonora Leonardi & Antonello Durante & Anne Schmidt & Roger Curtis, 2021. "Risk-Benefit Assessment Scheme for Renewable Solar Solutions in Traditional and Historic Buildings," Sustainability, MDPI, vol. 13(9), pages 1-35, May.
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    Cited by:

    1. Akinyemi Ayodeji Stephen & Kabeya Musasa & Innocent Ewean Davidson, 2022. "Modelling of Solar PV under Varying Condition with an Improved Incremental Conductance and Integral Regulator," Energies, MDPI, vol. 15(7), pages 1-22, March.

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