Parallel fault detection algorithm for grid-connected photovoltaic plants
作者： Mahmoud Dhimish , Violeta Holmes , Mark Dales
DOI: 10.1016/J.RENENE.2017.05.084
关键词: Fault detection and isolation 、 Virtual instrumentation 、 Photovoltaic system 、 Maximum power point tracking 、 Engineering 、 Voltage 、 Electronic engineering 、 Grid 、 Inverter 、 Solar irradiance 、 Real-time computing
摘要: In this work, we present a new algorithm for detecting faults in grid-connected photovoltaic (GCPV) plant. There are few instances of statistical tools being deployed the analysis PV measured data. The main focus paper is, therefore, to outline parallel fault detection that can diagnose on DC-side and AC-side examined GCPV system based t-test method. For given set operational conditions, solar irradiance module's temperature, number attributes such as voltage power ratio strings using virtual instrumentation (VI) LabVIEW software. The results obtained indicate detect locate accurately different types as, faulty module, String, Faulty Bypass diode, Maximum point tracking (MPPT) unit DC/AC inverter unit. has been validated an experimental data climate, with electrical parameters 1.98 0.52 kWp systems installed at University Huddersfield, United Kingdom.
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