Learning the Dynamics of Future Marine Microgrids Using Temporal Convolutional Neural Network

no code implementations • 6 Dec 2023 • Xiaoyu Ge, Ali Hosseinipour, Saskia Putri, Faegheh Moazeni, Javad Khazaei

Medium-voltage direct-current (MVDC) ship-board microgrids (SMGs) are the state-of-the-art architecture for onboard power distribution in navy.

Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients

no code implementations • 6 Dec 2023 • Saskia Putri, Xiaoyu Ge, Faegheh Moazeni, Javad Khazaei

This paper presents a novel control strategy for medium voltage DC (MVDC) naval shipboard microgrids (MGs), employing a nonlinear model predictive controller (NMPC) enhanced with stabilizing features and an intricate droop control architecture.

energy management Management +1

Voltage Restoration in MVDC Shipboard Microgrids with Economic Nonlinear Model Predictive Control

no code implementations • 6 Dec 2023 • Saskia Putri, Ali Hosseinipour, Xiaoyu Ge, Faegheh Moazeni, Javad Khazaei

This paper presents a novel control strategy using nonlinear model predictive controller embedded with a complex droop control architecture for voltage restoration and power sharing in medium voltage DC (MVDC) Naval MGs.

Model Predictive Control

Vulnerability of Building Energy Management against Targeted False Data Injection Attacks:Model Predictive Control vs. Proportional Integral

no code implementations • 6 Dec 2023 • Xiaoyu Ge, Kamelia Norouzi, Faegheh Moazeni, Mirel Sehic, Javad Khazaei, Parv Venkitasubramaniam, Rick Blum

Cybersecurity in building energy management is crucial for protecting infrastructure, ensuring data integrity, and preventing unauthorized access or manipulation.

energy management Management +1