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
N1 - Publisher Copyright:
© 2017 IEEE.
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 - http://www.scopus.com/inward/record.url?scp=85042713785&partnerID=8YFLogxK
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 -
