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EM-AI model of microgrids in islanding mode

2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES), 2017
An Electromagnetic-Artificial Intelligence (EM-AI) based model, for the characterization of microgrids in normal or islanding modes of operation, is presented. This EM-Data Mining based model is used to characterize microgrids with high-speed ac synchronous generators during normal and out of phase operation.
openaire   +1 more source

Dynamics-aware Optimal Operation of Microgrids in Islanded Mode

2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2022
Roohallah Khatami   +2 more
openaire   +1 more source

An intelligent ABC-based terminal sliding mode controller for load-frequency control of islanded micro-grids

Sustainable Cities and Society, 2021
Amir Bagheri   +2 more
exaly  

Distributed Direct Power Sliding-Mode Control for Islanded AC Microgrids

IEEE Transactions on Industrial Electronics, 2022
CARLOS Alfaro   +2 more
exaly  

Adaptive sliding-mode voltage control for inverter operating in islanded mode in microgrid

International Journal of Electrical Power and Energy Systems, 2015
Zhiyong Chen   +2 more
exaly  

Microgrid and load shedding scheme during islanded mode: A review

Renewable and Sustainable Energy Reviews, 2017
Nur Najihah Abu Bakar   +2 more
exaly  

A Harmonic Compensation System With Embedded Load Observer for Micro-Grids in the Islanded Mode of Operation

IEEE Transactions on Power Electronics, 2020
Sajjad Makhdoomi Kaviri   +2 more
exaly  

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