8 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…
Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm
Saskia Putri, Faegheh Moazeni, Javad Khazaei
Model predictive control (MPC) has emerged as an effective strategy for water distribution systems (WDSs) management. However, it is hampered by the computational burden for large-…
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…
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…
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…