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Diagnosis and mitigation of voltage and current sensors malfunctioning in a grid connected PV system


Saha, S and Haque, ME and Tan, CP and Mahmud, MA and Arif, MT and Lyden, S and Mendis, N, Diagnosis and mitigation of voltage and current sensors malfunctioning in a grid connected PV system, International Journal of Electrical Power and Energy Systems, 115 Article 105381. ISSN 0142-0615 (2019) [Refereed Article]

Copyright Statement

2019 Elsevier Ltd. All rights reserved.

DOI: doi:10.1016/j.ijepes.2019.105381


Accuracy of sensors measuring Photovoltaic (PV) array output voltage, current and the ac currents flowing between VSC and grid plays an indispensable role in efficient operation of a grid connected PV system. Erroneous measurements due to malfunctioning of aforementioned sensors can cause significant disruptions in the operation of a PV system, as the impact of erroneous measurements propagate through the controllers in a PV system. In this paper, malfunctioning of PV system sensors are regarded as sensor faults. This paper presents an approach for diagnosis and mitigation of sensor faults in a PV system. The fault diagnosis approach is based on the sliding mode observer (SMO)-based fault detection and identification theory, which is capable of accurately estimating faults in sensor measurements. Estimated faults are used by the fault mitigation technique in the proposed approach to rectify the sensor measurements. The rectified sensor measurements are used by the controllers in PV system, instead of possibly erroneous sensor measurements, which ensure fault resilient operation of the PV system. The efficacy of the proposed approach has been validated through rigorous simulation and experimental studies.

Item Details

Item Type:Refereed Article
Keywords:PV system, sensor fault, MPPT
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Renewable energy
Objective Field:Solar-photovoltaic energy
UTAS Author:Lyden, S (Dr Sarah Lyden)
ID Code:134508
Year Published:2019
Web of Science® Times Cited:8
Deposited By:Engineering
Deposited On:2019-08-15
Last Modified:2019-12-24

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