Power and Energy
This document provides critical parameters for the IEEE 33-bus and 123-bus AC-DC hybrid test systems under grid-connected and island operations. It is associated with the manuscript "A Holomorphic Embedding Method for Solving Power Flow in AC-DC Active Distribution Network."
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A data-set for training/testing maximum power point tracking (MPPT) algorithms. This data-set consists three different types of PV strings (monocrystalline, polysilicon, thin film). There are 100 sets of data for each connection method (3,5,or 7S) for each PV string.
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The dataset is generated by performing different Man-in-the-Middle (MiTM) attacks in the synthetic cyber-physical electric grid in RESLab Testbed at Texas AM University, US. The testbed consists of a real-time power system simulator (Powerworld Dynamic Studio), network emulator (CORE), Snort IDS, open DNP3 master, SEL real-time automation controller (RTAC), and Cisco Layer-3 switch. With different scenarios of MiTM attack, we implement a logic-based defense mechanism in RTAC and save the traffic data and related cyber alert data under the attack.
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These data are used for studying the P2P-based distributed transactive energy management problem in the distribution system. Considering that P2P trading is a form of the decentralized trading, a fully-decentralized computation algorithm without a central supervisor is proposed to compute our proposed model on a peer-to-peer basis.
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Results for CTPS 2 are listed in CTPS2.docx.
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Experimental results
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The impedance mesaurement data of two interconnected systems: the first one is a cascaded system composed of a boost converter and a buck converter; the second one is a paralleled system composed of two LCL converter.
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These are the simulation and experimental data for precise modeling of typical nonlinear loads (with passive diode bridge rectifiers) in wireless power transfer systems with different load conditions. Advanced load models are developed based on the provided data.
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The law of conservation of energy has yet to be disproven. However, an inability to disprove this law is no proof of its validity. Energy creation was modeled with a lagging current and a quasi-sinusoidal variance in capacitance. A quasi-sinusoidal variance here is a sinusoidal waveform whose mean is larger than its median. The stator’s quasi-sinusoidal variance in capacitance is formed by the rotors’ electrostatic induction within its conductive segments, which is induced by the stator’s charge.
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