Reducing Number of Communication Devices In Microgrids Using Machine LearningView Project In microgrids there exists multiple buses that have a noticeable difference in either phasor voltages, phasor currents, or both between t...
In microgrids there exists multiple buses that have a noticeable difference in either phasor voltages, phasor currents, or both between the islanded mode and the grid-connected mode. Sometimes the difference could be easily distinguished in a feature of the voltage or the current like (Power, Apparent impedance, Power factor, etc …). This paper proposes a new method for microgrid islanding detection using local measurements. Using support vector machines, the authors trained a classifier that uses phasor values at a chosen bus and detect the mode of operation for a microgrid with accuracy up to 93% using only one feature
Python
Machine learning
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Python
Machine learning
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Graduate Project : Analyzing Banshee power system using Python View Project Implemented Python to analyze the Banshee power system corresponds to a real-life, small industrial facility supplied via three utility r...
Implemented Python to analyze the Banshee power system corresponds to a real-life, small industrial facility supplied via three utility radial feeders. The system resembles microgrids seen around the world and presents challenges
found in a community microgrid, a small island, or industrial facilities, making it a solid benchmark for evaluating microgrid performance.
Python
Electrical Engineering
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Python
Electrical Engineering
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