Power and Energy
The case studies data are provided in this report to complement the paper ‘Modeling and Simulation of InverterBased Power Systems for Stability Analysis’.
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Renewable energy is boosting the deployment of microgrids (MGs) with stochastic and low inertia nature. To improve the operational efficiency of MGs while guaranteeing frequency security, a three-stage stochastic unit commitment problem is proposed, where renewable energy can be deloaded. In the first stage, the diesel generators (DGs) are scheduled, responding to uncertainties of loads and photovoltaic generator output. In the second stage, the outputs of DGs are optimized to reduce the operational cost under uncertain disturbances.
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There are three videos demonstrating the steady operation, dynamics, and low voltage ridge through of the IEEE papers: A New Low Switching Frequency Control of Regenerative CHB Drive With Low-Voltage Ride-Through Capability AND Control of Regenerative CHB Motor Drives at Fundamental Switching Frequency
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Models of the electrical machines are used in the process of development control system and verification of them. Nowadays multiphase machines are attracting attention due to their reliability; however, standard MATLAB libraries are limited by 5-phase and 3-phase models. This paper considers a universal model of 3-, 5-, 6-, 7-, 9-phase permanent magnet synchronous motor. The model was developed using standard blocks of MATALB Simulink and can be used as a component of SimPowerSystem. Simulation results are provided as well as a link to the library for use free of charge.
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This data set consists of 3-phase currents of faults and other transient cases for transmission lines connected with DFIG-based Wind Farms. PSCAD/EMTDC software is used for the simulation of the faults and other transients.
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The data set includes inputs required by EPM to run optimization. Such inputs include generator techno-economic specs, demand and other system parameters
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Two-stage robust optimization strategy for spatially-temporally correlated data centers with data-driven uncertainty sets
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