Simulation of fault detection in photovoltaic arrays

Lipták Róbert and Bodnár István: Simulation of fault detection in photovoltaic arrays. In: Analecta technica Szegedinensia, (15) 2. pp. 31-40. (2021)

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In solar systems, faults in the module and inverter occur in proportion to increased operating time. The identification of fault types and their effects is important information not only for manufacturers but also for investors, solar operators and researchers. Monitoring and diagnosing the condition of photovoltaic (PV) systems is becoming essential to maximize electric power generation, increase the reliability and lifetime of PV power plants. Any faults in the PV modules cause negative economic and safety impacts, reducing the performance of the system and making unwanted electric connections that can be dangerous for the user. In this paper have been classified all possible faults that happen in the PV system, and is presented to detect common PV array faults, such as open-circuit fault, line-to-line fault, ground fault, shading condition, degradation fault and bypass diode fault. In this studies examines the equivalent circuits of PV arrays with different topological configurations and fault conditions to evaluate the effects of these faults on the performance of a solar system, taking into account the influence of temperature and solar radiation. This work presents the validation of a simulated solar network by measuring the output curves of a low-power photovoltaic array system under real outdoor conditions. This method can be useful in future solar systems.

Item Type: Article
Journal or Publication Title: Analecta technica Szegedinensia
Date: 2021
Volume: 15
Number: 2
ISSN: 2064-7964
Page Range: pp. 31-40
Language: English
Related URLs:
Uncontrolled Keywords: Napenergia felhasználása, Megújuló energiaforrás - hasznosítás
Additional Information: Bibliogr.: 40. p. ; ill. ; összefoglalás angol nyelven
Subjects: 02. Engineering and technology
02. Engineering and technology > 02.14. Environmental engineering
Date Deposited: 2022. Jan. 03. 10:23
Last Modified: 2023. Jul. 13. 10:40

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