Research on Thermal Fault Detection and Location of Photovoltaic Connectors Based on Multiple Model Estimator

Offshore photovoltaic (PV) systems encounter challenges due to high humidity and salt spray environments. The PV connectors on the DC input side of inverters are particularly susceptible to increased contact resistance and local overheating caused by environmental corrosion. This paper introduces a novel thermal fault location method utilizing a multiple model estimator (MME). The approach develops a lumped thermal model and an abnormal overheating disturbance model for the PV connectors. By combining a Kalman filter with a probability fusion algorithm, the method effectively detects thermal faults. Simulation and experimental results demonstrate that this approach can accurately locate faults while requiring only a minimal number of thermal sensors, thereby enhancing the reliability of offshore PV systems.

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Publication Details

Journal
Marine Energy Research
Published
2025-01-01
DOI
https://doi.org/10.70322/mer.2025.10007
Primary Topic
Fault Detection and Control Systems
Type
article
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0.00
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article

Research on Thermal Fault Detection and Location of Photovoltaic Connectors Based on Multiple Model Estimator

Chunjie Wang, Peng Chen, Laidong Zhang, Qiuyue Xu
Marine Energy Research
Fault Detection and Control Systems
article

Research on Thermal Fault Detection and Location of Photovoltaic Connectors Based on Multiple Model Estimator

Chunjie Wang, Peng Chen, Laidong Zhang, Qiuyue Xu
article en

Abstract

Offshore photovoltaic (PV) systems encounter challenges due to high humidity and salt spray environments. The PV connectors on the DC input side of inverters are particularly susceptible to increased contact resistance and local overheating caused by environmental corrosion. This paper introduces a novel thermal fault location method utilizing a multiple model estimator (MME). The approach develops a lumped thermal model and an abnormal overheating disturbance model for the PV connectors. By combining a Kalman filter with a probability fusion algorithm, the method effectively detects thermal faults. Simulation and experimental results demonstrate that this approach can accurately locate faults while requiring only a minimal number of thermal sensors, thereby enhancing the reliability of offshore PV systems.

Marine Energy ResearchVol. 2(2)
Affordable and clean energy
Openalex Percentile: Top 88%
Fault Detection and Control Systems
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Research on Thermal Fault Detection and Location of Photovoltaic Connectors Based on Multiple Model Estimator — Chunjie Wang, Peng Chen, et al. · Marine Energy Research (2025) | TGRS Research Map | TGRS