Making use of a specifically designed SW tool, the authors here presents the results of an activity for the evaluation of energy consumption of buses for urban applications. Both conventional and innovative transport means are considered to obtain interesting comparative conclusions. The SW tool simulates the dynamical behaviour of the vehicles on really measured paths making it possible to evaluate their energetic performances on a Tank to Wheel (TTW) basis. Those data, on such a wide and comparable range were still unavailable in literature.

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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.

 

Instructions: 

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 vibration signals used in this dataset were collected from 1.5 MW wind turbines in June 2020. The wind farm locates in eastern China. The planetary gearbox contains two-stage planetary and one-stage parallel transmission mechanisms. Vibration signals were acquired using a piezoelectric accelerometer (VIB 6.140) mounted on the ring of the second-stage planetary mechanism of the gearbox by a DAQ system with a sampling frequency of 16384 Hz.

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Sample wind speed data at 34 m and 20 m above ground level and ambient temperature in Cook Islands

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This dataset will contains some simulation models in Matlab/Simulink of four most used active anti-islanding methods namely Active Frequency Drift (AFD), Sandia Frequency Shift (SFS), Slip Mode frequency Shift (SMS), Sandia Voltage Shift (SVS).

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84 Views

The dataset contains an example of energy consumption, Functioning hours and Production KPI of different stages of the experimental open pit mine, mainly the destoning, the screening, and the train loading station. The Code is an example of the prediction algorithm, and the API can be used to apply the same algorithm used in this article.

In the proposed Dataset the energy consumption data for each station are collected from power meters and stored into a database that contains functioning hours and production.

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476 Views

Agents in the electricity sector may find themselves in a short position in the market at times. In this case, they have the option of hedging their risk by contracting part or all of their position through fixed-price forward contracts. If the hedge is only partial, the non-contracted portion must be settled at an uncertain future spot price, which exposes the agent to price risk. On the other hand, while a full hedge eliminates the risk, it eliminates potential gains.

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97 Views

We present photographs of inspections of the electrical power network (13.8 kV) carried out in southern Brazil. The inspections were performed close to the city of Blumenau by researchers from the high voltage laboratory, Regional University of Blumenau (FURB).

240 photographs of the electrical power network are presented:120 are of damaged structures and/or components.120 are in normal conditions.

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240 Views

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