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.
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.
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.
This software application is a complement for the paper entitled "A Single-Phase Transformer-Based Cascaded Asymmetric Multilevel Inverter with Balanced Power Distribution".
This paper discusses the classification of composite insulators in hydrophobicity classes, according to the spray method of IEC Standard 62073, using convolutional neural networks. By applying the spray method, about 4500 photos were collected and are available online, from all hydrophobicity classes using distilled water-ethyl alcohol as spraying sollution.
This paper looks at six different applications for a domestically located battery system and determines how these could be translated into different electrical power application “drive” cycles. The applications considered are as follows: 1) a house with four people and a solar panel using the battery to absorb extra energy when the PV panel is producing more power than is absorbed in the house and then releasing this energy afterwards.
The insulation of the power transmission systems experience stresses due to overvoltages and hence the insulation design of Extra High Voltage and Ultra High Voltage systems depend on the switching overvoltages rather than lightning overvoltages. Insulation failure probability under switching overvoltages is the main impressive concern in the estimation of switching surge flashover rate. .
This dataset refers to the case study performed in the paper "A Real Options Market-Based Approach to Increase Penetration of Renewables", submitted to IEEE Transactions on Smart Grid. The file contains the Midcontinent ISO data used for the day-ahead prices, as well as the wind data from NREL's Wind Integration National Dataset Toolkit which was used to estimate the renewable productions in the case study.
This dataset corresponds to a paper published in IEE Transactions on Power Systems entitled: "High-Speed 2x25kV Traction System Model and Solver for Extensive Network Simulations"
