Power and Energy

This document provides the data for the case study of the work “Enhanced Representative Time Periods for Transmission Expansion Planning Problems”.
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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.
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This dataset is in support of my research paper 'Comparison of ElectroMagnetic Emissions & Harmonic Analysis of 20 HP Motor Controlled by 3L NPC Inverter'.
Preprint : https://doi.org/10.36227/techrxiv.19687041.v1
This is useful for manufacturers and r&d engineers for product costing. For more information, results, conclusions on this, pls read research paper.
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The early detection of damaged (partially broken) outdoor insulators in primary distribution systems is of paramount importance for continuous electricity supply and public safety. In this dataset, we present different images and videos for computer vision-based research. The dataset comprises images and videos taken from different sources such as a Drone, a DSLR camera, and a mobile phone camera.
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This data includes instantaneous signal data from simulated subsynchronous oscillations and from actual SSO events.
The simulation system for data 1 is that a wind turbine with Doubly-fed Induction Generator (DFIG) is connected to a parallel compensator and then through a weak transmission line to the power grid, the sub-synchronous resonance occurs between the DFIG and the parallel compensator when the wind speed drops. This kind of SSO only contains the sub-synchronous oscillation component;
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The dataset is generated by performing different MiTM attacks in the synthetic electric grid in RESLab testbed at Texas A&M University, US. The testbed primarily consists of a dynamic power system simulator (Powerworld Dynamic Studio), network emulator (CORE), Snort IDS, open DNP3 master and Elasticsearch's Packetbeat index. There are raw and processed files that can be used by security enthusiasts to develop new features and also to train IDS using our feature space respectively.
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