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Classification Method of Photovoltaic Array Operating State Based on Nonparametric Estimation and 3σ Method

Author

Listed:
  • Qiang Tong

    (Huaneng Dali Wind Power Co., Ltd., Eryuan Branch, Dali 650051, China)

  • Donghui Li

    (Huaneng Dali Wind Power Co., Ltd., Eryuan Branch, Dali 650051, China)

  • Xin Ren

    (Huaneng Clean Energy Research Institute, Beijing 102209, China)

  • Hua Wang

    (Huaneng Clean Energy Research Institute, Beijing 102209, China)

  • Qing Wu

    (Huaneng Clean Energy Research Institute, Beijing 102209, China)

  • Li Zhou

    (Huaneng Clean Energy Research Institute, Beijing 102209, China)

  • Jiaqi Li

    (School of New Energy, North China Electric Power University, Beijing 102206, China)

  • Honglu Zhu

    (School of New Energy, North China Electric Power University, Beijing 102206, China)

Abstract

Photovoltaic (PV) array, as the key component of large-scale PV power stations, is prone to frequent failure that directly affects the efficiency of PV power stations. Therefore, accurate classification of the operating state of PV arrays is the basis for fault location. Thus, a novel classification method for PV array operating state was designed based on nonparametric estimation and a 3σ method. The actual data analysis proves the hypothesis that performance ratio ( PR ) distribution characteristics of PV arrays can characterize the operating state of PV arrays. The modeling curve of the PV array with an excellent performance has only one peak and the peak value is large, while the distribution curve of the PV array with a poor performance has a small peak. In this paper, the distribution characteristics of PV arrays are modeled, the peak value is used to classify the operating state of PV arrays, and finally the effectiveness of the proposed method is compared. Overall, this paper makes a valuable contribution by proposing a novel method for accurately classifying the operating state of PV arrays. The proposed method can help improve the efficiency and fault diagnosis of PV power stations.

Suggested Citation

  • Qiang Tong & Donghui Li & Xin Ren & Hua Wang & Qing Wu & Li Zhou & Jiaqi Li & Honglu Zhu, 2023. "Classification Method of Photovoltaic Array Operating State Based on Nonparametric Estimation and 3σ Method," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7769-:d:1143033
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    References listed on IDEAS

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