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[期刊论文]

Compound fault diagnosis model for Photovoltaic array using multi-scale SE-ResNet

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author:

Lin, Peijie (Lin, Peijie.) [1] | Qian, Zhuang (Qian, Zhuang.) [2] | Lu, Xiaoyang (Lu, Xiaoyang.) [3] | Unfold

Indexed by:

EI

Abstract:

Photovoltaic (PV) systems working outdoors are susceptible to various faults. The deposition of dust on the PV array may make these faults more complicated, resulting in a kind of compound faults. The similarity between compound faults and single faults leads to their misclassification. Therefore, accurately detection of potential PV array compound faults is essential to improve the operating efficiency and safety of PV systems. Addressing the above situation, this paper proposes a fault diagnosis (FD) scheme for PV array using a multi-scale SE-ResNet network. In addition, a multi-scale receptive field fusion module (MRFF) is designed to improve the diagnostic performance of the model. This model can automatically extract multi-scale fault features from input raw current–voltage curves data and environmental parameters. The single faults, partial shading conditions (PSCs), and compound faults under different degrees of dust covering can be diagnosed. In addition, the dust coverage degree is estimated simultaneously, which can provide a basis for developing a cleaning schedule. Simulation and experiment results demonstrate the superior performance of this method compared with other approaches, and also indicate the proposed model can be applied to the condition of dust accumulate on the bottom of the PV panels through transfer learning. © 2021 Elsevier Ltd

Keyword:

Current voltage characteristics Dust Failure analysis Fault detection Photovoltaic cells

Community:

  • [ 1 ] [Lin, Peijie]College of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Lin, Peijie]Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou; 213164, China
  • [ 3 ] [Qian, Zhuang]College of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Qian, Zhuang]Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou; 213164, China
  • [ 5 ] [Lu, Xiaoyang]College of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou; 350116, China
  • [ 6 ] [Lu, Xiaoyang]Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou; 213164, China
  • [ 7 ] [Lin, Yaohai]College of Computer and Information Sciences, Fujian Agriculture and Forest University, Fuzhou; 350002, China
  • [ 8 ] [Lai, Yunfeng]College of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou; 350116, China
  • [ 9 ] [Lai, Yunfeng]Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou; 213164, China
  • [ 10 ] [Cheng, Shuying]College of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou; 350116, China
  • [ 11 ] [Cheng, Shuying]Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou; 213164, China
  • [ 12 ] [Chen, Zhicong]College of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou; 350116, China
  • [ 13 ] [Chen, Zhicong]Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou; 213164, China
  • [ 14 ] [Wu, Lijun]College of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou; 350116, China
  • [ 15 ] [Wu, Lijun]Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou; 213164, China

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Source :

Sustainable Energy Technologies and Assessments

ISSN: 2213-1388

Year: 2022

Volume: 50

8 . 0

JCR@2022

7 . 1 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

30 Days PV: 3

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