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.

 

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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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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.

Instructions: 

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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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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This is the supplementary material for the paper "Spreading of Disturbances in Realistic Models of Transmission Grids: Dependence on Topology, Inertia and Heterogeneity".

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This paper presents a novel  filter design procedure to optimally split the Frequency Regulation (FR) signal between conventional and fast regulating Energy Storage System (ESS) assets, considering typical Communication Delays (CDs).  The filter is then integrated into a previously validated FR model of the Ontario Power System (OPS) including Battery and Flywheel ESSs, which is used to analyze the impact of these ESSs, CDs, and limited regulation capacity in the FR process in a real system.  The proposed methodology to split the FR signal is also compared with the existin

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This dataset contains (1) the Simulink model of a three-phase photovoltaic power system with passive anti-islanding protections like over/under current (OUC), over/under voltage (OUV), over/under frequency (OUF), rate of change of frequency (ROCOF), and dc-link voltage and (2) the results in the voltage source converter and the point of common coupling of the photovoltaic system during islanding operation mode and detection times of analyzed anti-islanding methods.

Instructions: 

The anti-islanding protection relays are included in the "Relay Protection Bus B20 (20 kV)" subsystem.

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Distribution test systems with 24, 54, 86, and 136 nodes, which can be used for distribution system reliability evaluation.

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This dataset was curated for outage management in electricity networks. It is based on a modification of the IEEE 24 bus reliability test system network. The modified network comprises 10 generators, 50 buses, and 40 load zones; supplying 270,000 customers. For illustrative purposes, the network is assumed to span the region between longitudes 13.2989°W and 12.9133°W and latitudes 8.1712°N and 8.4998°N. This region happens to be located in Western Sierra Leone and covers an area of approximately 681 square kilometres.

The dataset comprises:

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This document provides the data for the case study of the work “Enhanced Representative Time Periods for Transmission Expansion Planning Problems”.

Instructions: 

The data for the case study can be consulted in the attached pdf file.

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These data can describe the operatioal process of ultra-supercritical once-through boiler-turbine units in a wide load range. The data can be used for establishing a dynamic mathematical model or data-driven model, as well as reproducing the paper, entitled " A dynamic nonlinear model for a wide-load range operation of ultra-supercritical once-through boiler-turbine units" in Energy journal. 

Instructions: 

There are three kinds of data with different trends in Excel format, and you can use matlab to read the data.

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