Work

Simulation and Fault Diagnosis Using Current-Voltage Characteristics of Photovoltaic Systems—A Case Study

Year: 2025

Type: conference-paper

Abstract: The I-V characteristics of a photovoltaic (PV) system reveal its actual state and performance, and are used for fault detection and diagnosis in PV systems. We reviewed modeling methods for common faults using MATLAB/Simulink R2021a software, including module degradation, open-circuit faults, short-circuit faults, shading faults, and hotspot faults, in this study. A detailed analysis was conducted regarding how these faults impact I-V characteristics. Taking a real PV system as an example, a fault diagnosis case study was carried out. By fitting the measured I-V curves from the PV system and diagnosing potential faults and their severity based on the fitted model parameters, the approach proposed in this study offers a cost-free, simple, and effective detection method. This method can be used by researchers and engineers in the PV field for the advanced fault detection and diagnosis of PV systems.

Source: IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)

DOI: 10.3390/engproc2025092079

Authors: Jhih-Hao Lin, Yuan-Kang Wu

Institutions: Fujian Chuanzheng Communications College, National Chung Cheng University

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4410999331

FWCI: 10.2

Cites: 23

Cited by: 3

Related to: 10