Failure Risk Assessment of Grid-Connected Inverter with Parametric Uncertainty in LCL Filter

Grid-connected inverter failure may be caused by outliers of a population of units in field operation, due to the LCL filter parameter uncertainty. This paper proposes a probabilistic framework to analyze the impact of multiple filter parameter variances due to component tolerances, operating points...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2023-08, Vol.38 (8), p.1-12
Main Authors: Chen, Yongyang, Sangwongwanich, Ariya, Huang, Meng, Pan, Shangzhi, Zha, Xiaoming, Wang, Huai
Format: Article
Language:English
Subjects:
Aging
Capacitors
Failure
grid-connected inverter
Hardware-in-the-loop simulation
Harmonic distortion
Impact analysis
Inductance
Inverters
Parameter uncertainty
Performance evaluation
Power harmonic filters
probabilistic assessment
Prototype tests
Risk assessment
Robust stability
Robustness
Structured singular values
Tolerances
Uncertainty
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Summary:Grid-connected inverter failure may be caused by outliers of a population of units in field operation, due to the LCL filter parameter uncertainty. This paper proposes a probabilistic framework to analyze the impact of multiple filter parameter variances due to component tolerances, operating points, and aging effects. Both robust stability and filter performance are selected as the risk of failure. The robust stability of the grid-connected inverter is quantified by the structured singular value (SSV). The total harmonic distortion (THD) of the grid current is estimated to evaluate the filter performance. A case study on a three-phase inverter is performed to verify the proposed method through Hardware-in-the-Loop (HIL) simulation and physical prototype testing.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2023.3274396