Madhawa Weerasekara
Queensland University of Technology
Maximum power principleElectrodeElectrical impedancePhotovoltaic systemArc (geometry)
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Publications 2
#1Madhawa Weerasekara (QUT: Queensland University of Technology)H-Index: 1
#2D. Mahinda Vilathgamuwa (QUT: Queensland University of Technology)H-Index: 41
Last. Yateendra Mishra (QUT: Queensland University of Technology)H-Index: 15
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Use of Mathematical Morphology (MM) based filters to detect faults in power systems have been discussed in recent literature. These studies have been predominantly focused on AC systems and associated arc faults. However, fault detection applications based on MM filtering in DC systems have not been adequately discussed. This paper presents how MM based filtering techniques and its composite operations could be used to successfully detect arc faults in a PV system. Throughout the analysis, serie...
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Arc faults in a PV system are difficult to study using models developed for conventional power sources mainly due to non-linear behavior of PV current and its dependence on external factors such as irradiance, shading and maximum power tracking controls. This paper presents a unique model derived from fundamentals of Mayr and Cassie arc models and introducing a hyperbolic tangent function to approximate arc current at near zero gap. Arc impedance widely changes with heat dissipated through arcs ...