A novel PV faults diagnosis method based on the structure of differential power processing

Xingshuo Li; Huiqing Wen; Guanying Chu; Zhaoyang Ye

doi:10.1109/DISTRA.2017.8191148

A novel PV faults diagnosis method based on the structure of differential power processing

Xingshuo Li
, Huiqing Wen
, Guanying Chu
, Zhaoyang Ye

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

7 Citations (Scopus)

Abstract

This paper proposed a novel PV faults diagnosis method, which is based on the structure of differential power processing (DPP). Since the conventional PV faults diagnosis methods are very easily affected by the working environment conditions, such as solar irradiance and temperature. Compared to the conventional methods, this method is able to diagnose several PV modules at the same time. Furthermore, this method will not be affected by the changes of environment conditions. Finally, the simulation and experimental results will validate the claimed advantages of the proposed PV faults diagnosis method.

Original language	English
Title of host publication	2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	685-689
Number of pages	5
ISBN (Electronic)	9781538620953
DOIs	https://doi.org/10.1109/DISTRA.2017.8191148
Publication status	Published - 12 Dec 2017
Event	6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017 - San Diego, United States Duration: 5 Nov 2017 → 8 Nov 2017

Publication series

Name	2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017
Volume	2017-January

Conference

Conference	6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017
Country/Territory	United States
City	San Diego
Period	5/11/17 → 8/11/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Differential power processing (DPP)
PV faults diagnosis
Photovoltaic (PV)

Access to Document

10.1109/DISTRA.2017.8191148

Cite this

Li, X., Wen, H., Chu, G., & Ye, Z. (2017). A novel PV faults diagnosis method based on the structure of differential power processing. In 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017 (pp. 685-689). (2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DISTRA.2017.8191148

Li, Xingshuo ; Wen, Huiqing ; Chu, Guanying et al. / A novel PV faults diagnosis method based on the structure of differential power processing. 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 685-689 (2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017).

@inproceedings{86400b8f0eb244f7bfc84715821a8c5e,

title = "A novel PV faults diagnosis method based on the structure of differential power processing",

abstract = "This paper proposed a novel PV faults diagnosis method, which is based on the structure of differential power processing (DPP). Since the conventional PV faults diagnosis methods are very easily affected by the working environment conditions, such as solar irradiance and temperature. Compared to the conventional methods, this method is able to diagnose several PV modules at the same time. Furthermore, this method will not be affected by the changes of environment conditions. Finally, the simulation and experimental results will validate the claimed advantages of the proposed PV faults diagnosis method.",

keywords = "Differential power processing (DPP), PV faults diagnosis, Photovoltaic (PV)",

author = "Xingshuo Li and Huiqing Wen and Guanying Chu and Zhaoyang Ye",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017 ; Conference date: 05-11-2017 Through 08-11-2017",

year = "2017",

month = dec,

day = "12",

doi = "10.1109/DISTRA.2017.8191148",

language = "English",

series = "2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017",

}

Li, X, Wen, H , Chu, G & Ye, Z 2017, A novel PV faults diagnosis method based on the structure of differential power processing. in 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 685-689, 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017, San Diego, United States, 5/11/17. https://doi.org/10.1109/DISTRA.2017.8191148

A novel PV faults diagnosis method based on the structure of differential power processing. / Li, Xingshuo; Wen, Huiqing ; Chu, Guanying et al.
2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 685-689 (2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017; Vol. 2017-January).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - A novel PV faults diagnosis method based on the structure of differential power processing

AU - Li, Xingshuo

AU - Wen, Huiqing

AU - Chu, Guanying

AU - Ye, Zhaoyang

PY - 2017/12/12

Y1 - 2017/12/12

N2 - This paper proposed a novel PV faults diagnosis method, which is based on the structure of differential power processing (DPP). Since the conventional PV faults diagnosis methods are very easily affected by the working environment conditions, such as solar irradiance and temperature. Compared to the conventional methods, this method is able to diagnose several PV modules at the same time. Furthermore, this method will not be affected by the changes of environment conditions. Finally, the simulation and experimental results will validate the claimed advantages of the proposed PV faults diagnosis method.

AB - This paper proposed a novel PV faults diagnosis method, which is based on the structure of differential power processing (DPP). Since the conventional PV faults diagnosis methods are very easily affected by the working environment conditions, such as solar irradiance and temperature. Compared to the conventional methods, this method is able to diagnose several PV modules at the same time. Furthermore, this method will not be affected by the changes of environment conditions. Finally, the simulation and experimental results will validate the claimed advantages of the proposed PV faults diagnosis method.

KW - Differential power processing (DPP)

KW - PV faults diagnosis

KW - Photovoltaic (PV)

UR - https://www.scopus.com/pages/publications/85042713785

U2 - 10.1109/DISTRA.2017.8191148

DO - 10.1109/DISTRA.2017.8191148

M3 - Conference Proceeding

AN - SCOPUS:85042713785

T3 - 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017

SP - 685

EP - 689

BT - 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017

Y2 - 5 November 2017 through 8 November 2017

ER -

Li X, Wen H , Chu G, Ye Z. A novel PV faults diagnosis method based on the structure of differential power processing. In 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 685-689. (2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017). doi: 10.1109/DISTRA.2017.8191148

A novel PV faults diagnosis method based on the structure of differential power processing

Abstract

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UN SDGs

Keywords

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