Power and Energy
Impedance-based models of wind generators are widely used to analyze unstable oscillations between the grid and the control system of wind park generators. However, it is unclear what are the key control parameters that must be considered in the models at different frequency ranges (subsynchronous, near synchronous and high frequencies). The models can be either highly detailed, at the expense of complex algebraic derivations, or oversimplified, but unable to reliably predict control-to-grid instabilities.
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These PLECS simulation files are for the article: Modeling and Advanced Control of Dual Active Bridge DC-DC Converters: A Review. The simulation files of the following DAB control methods are included: feedback-only control, linearization control, feedforward plus feedback, disturbance-observer-based control, feedforward current control, model predictive current control and moving discretized control set model predictive. Besides, a simulation file comparing the DAB circuit and the reduced order model is also provided.
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This dataset was used to produce the results of following paper:
Title: Risk-constrained Optimal Dynamic Trading Strategies Under Short- and Long-term Uncertainties
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This dataset is used to assess the energy consumption of the collaborative robot UR3e. The dataset consists of six experiments. Different operational conditions are modified in each experiment to determine their influence. The datasets have the following information: recording time, trajectory ID, joints' positions, joints' velocities, motor currents, motor torques, motor voltages, motor temperatures, current, and voltage of the robot. This dataset is used as a study case of a new methodology for energy assessment.
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Convergence analysis of the Decomposition-Iteration algorithm.
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This file contains one-year measurements of demand (average 11 kWh/day), Electric vehicle charging (3 kW rating), and PV generation (3.3 kWp) for a household in London, UK.
This dataset is associated with the following paper:
A. A. R. Mohamed, R. J. Best, X. A. Liu and D. J. Morrow, "A Comprehensive Robust Techno-Economic Analysis and Sizing Tool for the Small-Scale PV and BESS," in IEEE Transactions on Energy Conversion, doi: 10.1109/TEC.2021.3107103.
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Gueter und Dienstleistungen ab 2020
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The IEEE 24 bus system is modelled in Digsilent’s Power factory, and normal operating data points are generated under quasi dynamic simulation and N-2 contingencies. An optimization problem to generate false data injection attack vectors are then modelled using MATLAB. This data contains normal, contingency and attack data points for the necessary variables in a power network. The attack data has 5 parts, with each part generated by a different type of attack.
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This dataset contains sensor and PMU data for the LEON3 CPU on the Gaisler GR712RC development platform running a subset of the BEEBS benchmark suite as well as four implementations of an industry-representative image vision algorithm. It is meant to be used by the Robust Energy and Power Predictor Selection(REPPS) methodology [https://github.com/TSL-UOB/TP-REPPS] in order to generate accurate fine-grain models.
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