3 papers
eess.SY2024
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…
eess.SY2024
Time-Domain Operational Metrics for Real-time Resilience Assessment in DC Microgrids
Maral Shadaei, Ali Hosseinipour, Javad Khazaei
Resilience is emerging as an evolving notion, reflecting a system's ability to endure and adapt to sudden and catastrophic changes and disruptions. This paper spotlights the signif…
eess.SY2024
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…