Open AccessSimulation of fault detection in photovoltaic arrays
Author(s) -
Róbert Lipták,
István Bodnár
Publication year - 2021
Publication title -
analecta
Language(s) - English
Resource type - Journals
ISSN - 2064-7964
DOI - 10.14232/analecta.2021.2.31-40
Subject(s) - photovoltaic system , fault (geology) , fault indicator , grid connected photovoltaic power system , fault detection and isolation , reliability engineering , engineering , inverter , reliability (semiconductor) , power (physics) , maximum power point tracking , automotive engineering , electronic engineering , electrical engineering , voltage , physics , quantum mechanics , seismology , actuator , geology
In solar systems, faults in the module and inverter occur inproportion to increased operating time. The identification of fault typesand their effects is important information not only for manufacturers butalso for investors, solar operators and researchers. Monitoring anddiagnosing the condition of photovoltaic (PV) systems is becoming essentialto maximize electric power generation, increase the reliability andlifetime of PV power plants. Any faults in the PV modules cause negativeeconomic and safety impacts, reducing the performance of the system andmaking unwanted electric connections that can be dangerous for the user. Inthis paper have been classified all possible faults that happen in the PVsystem, and is presented to detect common PV array faults, such asopen-circuit fault, line-to-line fault, ground fault, shading condition,degradation fault and bypass diode fault. In this studies examines theequivalent circuits of PV arrays with different topological configurationsand fault conditions to evaluate the effects of these faults on theperformance of a solar system, taking into account the influence oftemperature and solar radiation. This work presents the validation of asimulated solar network by measuring the output curves of a low-powerphotovoltaic array system under real outdoor conditions. This method can beuseful in future solar systems.