TY - GEN
T1 - A statistical-based approach for fault detection and diagnosis in a photovoltaic system
AU - Garoudja, Elyes
AU - Harrou, Fouzi
AU - Sun, Ying
AU - Kara, Kamel
AU - Chouder, Aissa
AU - Silvestre, Santiago
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): OSR-2015-CRG4-2582
Acknowledgements: This publication is based upon work supported by King Abdullah University of Science and Technology (KAUST), Office of Sponsored Research (OSR) under Award No: OSR-2015- CRG4-2582. The authors (Elyes Garoudja and Kamel Kara) thank the SET Laboratory, Department of Electronics, Faculty of Technology, University of Blida 1, Algeria, for continuous support during the study.
PY - 2017/7/10
Y1 - 2017/7/10
N2 - This paper reports a development of a statistical approach for fault detection and diagnosis in a PV system. Specifically, the overarching goal of this work is to early detect and identify faults on the DC side of a PV system (e.g., short-circuit faults; open-circuit faults; and partial shading faults). Towards this end, we apply exponentially-weighted moving average (EWMA) control chart on the residuals obtained from the one-diode model. Such a choice is motivated by the greater sensitivity of EWMA chart to incipient faults and its low-computational cost making it easy to implement in real time. Practical data from a 3.2 KWp photovoltaic plant located within an Algerian research center is used to validate the proposed approach. Results show clearly the efficiency of the developed method in monitoring PV system status.
AB - This paper reports a development of a statistical approach for fault detection and diagnosis in a PV system. Specifically, the overarching goal of this work is to early detect and identify faults on the DC side of a PV system (e.g., short-circuit faults; open-circuit faults; and partial shading faults). Towards this end, we apply exponentially-weighted moving average (EWMA) control chart on the residuals obtained from the one-diode model. Such a choice is motivated by the greater sensitivity of EWMA chart to incipient faults and its low-computational cost making it easy to implement in real time. Practical data from a 3.2 KWp photovoltaic plant located within an Algerian research center is used to validate the proposed approach. Results show clearly the efficiency of the developed method in monitoring PV system status.
UR - http://hdl.handle.net/10754/625672
UR - http://ieeexplore.ieee.org/document/7958710/
UR - http://www.scopus.com/inward/record.url?scp=85025808563&partnerID=8YFLogxK
U2 - 10.1109/ICoSC.2017.7958710
DO - 10.1109/ICoSC.2017.7958710
M3 - Conference contribution
AN - SCOPUS:85025808563
SN - 9781509039609
SP - 75
EP - 80
BT - 2017 6th International Conference on Systems and Control (ICSC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -
