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Photovoltaic Systems Reliability Improvement by Real-Time FPGA-Based Switch Failure Diagnosis and Fault-Tolerant DC-DC Converter

Abstract : The increased penetration of photovoltaic (PV) systems in different applications with critical loads such as in medical applications, industrial control systems, and telecommunications has highlighted pressing needs to address reliability and service continuity. Recently, distributed maximum power point tracking architectures, based on dc-dc converters, are being used increasingly in PV systems. Nevertheless, dc-dc converters are one of the important failure sources in a PV system. Since the semiconductor switches are one of the most critical elements in these converters, a fast switch fault detection method (FDM) is a mandatory step to guarantee the service continuity of these systems. This paper proposes a very fast FDM based on the shape of the inductor current associated to fault-tolerant (FT) operation for boost converter used in PV systems. By implementing fault diagnosis and reconfiguration strategies on a single field-programmable gate array target, both types of switch failure (open-and short-circuit faults) can be detected, identified and handled in real time. The FDM uses the signal provided by the current sensor dedicated to the control of the system. Consequently, no additional sensor is required. The proposed FT topology is based on a redundant switch. The results of hardware-in-the-loop and experimental tests, which all confirm the excellent performances of the proposed approach, are presented and discussed. The obtained results show that a switch fault can be detected in less than one switching period, typically around 100 ms in medium power applications, by the proposed FDM.
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https://hal.univ-lorraine.fr/hal-01383952
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Submitted on : Wednesday, October 19, 2016 - 2:09:03 PM
Last modification on : Monday, May 17, 2021 - 11:18:01 AM

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Ehsan Jamshidpour, Philippe Poure, Shahrokh Saadate. Photovoltaic Systems Reliability Improvement by Real-Time FPGA-Based Switch Failure Diagnosis and Fault-Tolerant DC-DC Converter. IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2015, 62 (11), pp.7247 - 7255. ⟨10.1109/TIE.2015.2421880⟩. ⟨hal-01383952⟩

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