Lifetime analysis of two commercial PV converters using multi-year degradation modelling

Martin Bendix Fogsgaard; Yi Zhang; Amir Sajjad Bahman; Francesco Iannuzzo; Frede Blaabjerg

doi:10.1016/j.prime.2023.100205

Lifetime analysis of two commercial PV converters using multi-year degradation modelling

Martin Bendix Fogsgaard
, Yi Zhang
, Amir Sajjad Bahman
, Francesco Iannuzzo
, Frede Blaabjerg

Research output: Journal article publication › Journal article › Academic research › peer-review

2 Citations (Scopus)

Abstract

This paper presents a practical method to perform multi-year degradation modeling for power electronics reliability analysis. It will present how to combine a PV mission profile simplification method with a parameter degradation feedback mechanism. The overall method is presented, along with how to characterize the parameters for the method from experimental results. The method and the characterization method are demonstrated against simulated wear-out curves based on experimental lifetime tests. The whole workflow is applied to analyze two commercial PV generator systems in order to compare the inclusion and exclusion of the degradation feedback on lifetime prediction. All model parameters are shown in the paper, and the used mission profiles will be published available online.

Original language	English
Article number	100205
Journal	e-Prime - Advances in Electrical Engineering, Electronics and Energy
Volume	5
DOIs	https://doi.org/10.1016/j.prime.2023.100205
Publication status	Published - Sept 2023

Keywords

Degradation based end-of-life
Degradation feedback
Power electronics
PV Converters
Reliability
Reliability prediction

ASJC Scopus subject areas

Energy Engineering and Power Technology
General Engineering
Electrical and Electronic Engineering

More information

10.1016/j.prime.2023.100205

Cite this

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title = "Lifetime analysis of two commercial PV converters using multi-year degradation modelling",

abstract = "This paper presents a practical method to perform multi-year degradation modeling for power electronics reliability analysis. It will present how to combine a PV mission profile simplification method with a parameter degradation feedback mechanism. The overall method is presented, along with how to characterize the parameters for the method from experimental results. The method and the characterization method are demonstrated against simulated wear-out curves based on experimental lifetime tests. The whole workflow is applied to analyze two commercial PV generator systems in order to compare the inclusion and exclusion of the degradation feedback on lifetime prediction. All model parameters are shown in the paper, and the used mission profiles will be published available online.",

keywords = "Degradation based end-of-life, Degradation feedback, Power electronics, PV Converters, Reliability, Reliability prediction",

author = "Fogsgaard, \{Martin Bendix\} and Yi Zhang and Bahman, \{Amir Sajjad\} and Francesco Iannuzzo and Frede Blaabjerg",

note = "Publisher Copyright: {\textcopyright} 2023",

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doi = "10.1016/j.prime.2023.100205",

language = "English",

volume = "5",

journal = "e-Prime - Advances in Electrical Engineering, Electronics and Energy",

issn = "2772-6711",

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T1 - Lifetime analysis of two commercial PV converters using multi-year degradation modelling

AU - Fogsgaard, Martin Bendix

AU - Zhang, Yi

AU - Bahman, Amir Sajjad

AU - Iannuzzo, Francesco

AU - Blaabjerg, Frede

PY - 2023/9

Y1 - 2023/9

N2 - This paper presents a practical method to perform multi-year degradation modeling for power electronics reliability analysis. It will present how to combine a PV mission profile simplification method with a parameter degradation feedback mechanism. The overall method is presented, along with how to characterize the parameters for the method from experimental results. The method and the characterization method are demonstrated against simulated wear-out curves based on experimental lifetime tests. The whole workflow is applied to analyze two commercial PV generator systems in order to compare the inclusion and exclusion of the degradation feedback on lifetime prediction. All model parameters are shown in the paper, and the used mission profiles will be published available online.

AB - This paper presents a practical method to perform multi-year degradation modeling for power electronics reliability analysis. It will present how to combine a PV mission profile simplification method with a parameter degradation feedback mechanism. The overall method is presented, along with how to characterize the parameters for the method from experimental results. The method and the characterization method are demonstrated against simulated wear-out curves based on experimental lifetime tests. The whole workflow is applied to analyze two commercial PV generator systems in order to compare the inclusion and exclusion of the degradation feedback on lifetime prediction. All model parameters are shown in the paper, and the used mission profiles will be published available online.

KW - Degradation based end-of-life

KW - Degradation feedback

KW - Power electronics

KW - PV Converters

KW - Reliability

KW - Reliability prediction

UR - https://www.scopus.com/pages/publications/85164342451

U2 - 10.1016/j.prime.2023.100205

DO - 10.1016/j.prime.2023.100205

M3 - Journal article

AN - SCOPUS:85164342451

SN - 2772-6711

VL - 5

JO - e-Prime - Advances in Electrical Engineering, Electronics and Energy

JF - e-Prime - Advances in Electrical Engineering, Electronics and Energy

M1 - 100205

ER -

Lifetime analysis of two commercial PV converters using multi-year degradation modelling

Abstract

Keywords

ASJC Scopus subject areas

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