The dataset contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.
This dataset contain a PV Arrays Models Pack with some models of PV Solar Arrays carried out in Matlab and Simulink. The PV Models are grouped in three ZIP files which correspond to the papers listed above.
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6270 Views
The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.
1. Open the "Banu_power_PVarray_grid_EPE2014_.slx" file with Matlab R2014a 64 bit version or a newer Matlab release. 2. To simulate various grid faults on PV System see the settings of the "Fault" variant subsystem block (Banu_power_PVarray_grid_EPE2014_/20kV Utility Grid/Fault) in Model Properties (File -> Model Properties -> Model Properties -> Callbacks -> PreLoadFcn* (Model pre-load function)): MPPT_IncCond=Simulink.Variant('MPPT_MODE==1') MPPT_PandO=Simulink.Variant('MPPT_MODE==2') MPPT_IncCond_IR=Simulink.Variant('MPPT_MODE==3') MPPT_MODE=1 Without_FAULT=Simulink.Variant('FAULT_MODE==1') Single_phases_FAULT=Simulink.Variant('FAULT_MODE==2') Double_phases_FAULT=Simulink.Variant('FAULT_MODE==3') Double_phases_ground_FAULT=Simulink.Variant('FAULT_MODE==4') Three_phases_FAULT=Simulink.Variant('FAULT_MODE==5') Three_phases_ground_FAULT=Simulink.Variant('FAULT_MODE==6') FAULT_MODE=1 3. For more details about the Variant Subsystems see the Matlab Documentation Center: https://www.mathworks.com/help/simulink/variant-systems.html or https://www.mathworks.com/help/simulink/examples/variant-subsystems.html
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3584 Views
The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.
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2389 Views
High-voltage batteries in battery electric vehicles face significant load fluctuations due to driving behavior. This dynamic performance of the powertrain is contrasted by the almost constant load of the auxiliary consumers. The highest auxiliary consumption is generated by the heating and air conditioning system, which decreases the vehicles range significantly. 72 real driving trips with a BMW i3 (60 Ah) were recorded, serving for model validation of a full vehicle model consisting of the powertrain and the heating circuit.
Plase see the attached readme.txt.
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124 Views
Distribution 20kV Surge Arrester Historical Inspection Data from year 2007 to 2019 from an European utility company
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52 Views
20kV PILC Cable Historical Inspection Data from year 2007 to 2019 from an European utility company
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36 Views
20kV XLPE Cable Historical Inspection Data from year 2010 to 2019 from an European utility company
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31 Views
Asset health index evalualtion results from an European utility company
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45 Views
This dataset contains python / jupyter notebooks with thermal magnitude data and loss simulations from IGBT-based converters. It also has implemented the proposed model and the results of the validations that compare the model with the simulations of three IGBT manufacturers.
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37 Views
DataSet used in learning process of the traditional technique's operation, considering different devices and scenarios, the proposed approach can adapt its response to the device in use, identifying the MAC layer protocol, perform the commutation through the protocol in use, and make the device to operate with the best possible configuration.
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105 Views