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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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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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 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.

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

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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 repo contains data and code that has been used for the publication ” Methodology for the Techno-economic Assessment of Medium-Voltage Photovoltaic Prosumers Under Net-Metering Policy” submitted @ IEEE Access. (The full reference should be added in close future.)This work is an extension of the paper “*Viability Assessment of PV Systems in University Campuses Under the Net-Metering Policy*” that has been presented in the 2020 55th International Universities Power Engineering Conference (UPEC).

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The data-set used in the paper titled "Short-Term Load Forecasting Using an LSTM Neural Network."

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The ZIP file Circulation_inhibition includes four items:

1. simulation 1: xianluzuk_bili1, which is the parallel connection of two inverters, the line impedance is proportional simulation.

2. simulation 2: xianluzuk_buchengbili2,which is the parallel connection of two inverters, the line impedance is not proportional simulation.

3.simulation 3: xianluk_buchengbili_xunizukang3, which is the parallel connection of two inverters, the line impedance is not proportional,and virtual impedance is added.

The instuctions can be seen in the folder.

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This dataset provides more detailed results for the large-scale study in the paper "Voltage-Dependent Load Models in UnbalancedOptimal Power Flow using Power Cones".

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