6 papers
Economic Dispatch and Power Flow Analysis for Microgrids
Saskia A. Putri, Xiaoyu Ge, Javad Khazaei
This study investigates the economic dispatch and optimal power flow (OPF) for microgrids, focusing on two configurations: a single-bus islanded microgrid and a three-bus grid-tied…
Physics-informed Convolutional Neural Network for Microgrid Economic Dispatch
Xiaoyu Ge, Javad Khazaei
The variability of renewable energy generation and the unpredictability of electricity demand create a need for real-time economic dispatch (ED) of assets in microgrids. However, s…
Learning the Dynamics of Future Marine Microgrids Using Temporal Convolutional Neural Network
Xiaoyu Ge, Ali Hosseinipour, Saskia Putri +2
Medium-voltage direct-current (MVDC) ship-board microgrids (SMGs) are the state-of-the-art architecture for onboard power distribution in navy. These systems are considered to be h…
Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients
Saskia Putri, Xiaoyu Ge, Faegheh Moazeni +1
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 s…
Voltage Restoration in MVDC Shipboard Microgrids with Economic Nonlinear Model Predictive Control
Saskia Putri, Ali Hosseinipour, Xiaoyu Ge +2
Future Naval Microgrids (MGs) will include hybrid energy storage systems (ESS), including battery and supercapacitors to respond to emerging constant power loads (CPLs) and fluctua…
Vulnerability of Building Energy Management against Targeted False Data Injection Attacks:Model Predictive Control vs. Proportional Integral
Xiaoyu Ge, Kamelia Norouzi, Faegheh Moazeni +4
Cybersecurity in building energy management is crucial for protecting infrastructure, ensuring data integrity, and preventing unauthorized access or manipulation. This paper invest…