This repository includes examples for powertrain design and energy management of electrified vehicles. A tutorial describing the convex modeling steps is not (yet) included. Instead, readers are ...
The role focuses on developing scalable, high‑efficiency power platforms for data centers and hyperscale infrastructure, leveraging advanced converter topologies, wide‑bandgap devices, and ...
Abstract: This paper presents a hierarchical model predictive control (HMPC)–based energy management system (EMS) for a DC microgrid integrating photovoltaic (PV) generation, wind energy conversion, ...
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN)
15/03/2024: We fixed a bug in assigning p and q of PV to the nodes equipped with an agent. Thanks to Yang Zhang, a PhD student from Department of Automation, Shanghai Jiao Tong University, who found ...
Abstract: This letter presents a novel model predictive control strategy without involving any proportional-integral-differential regulators for practical renewable energy based ac microgrids. The ...
The large-scale new energy sources such as photovoltaic power generation reduces the original damping and inertia of the power system, resulting in the oscillation of the system. Self-adaptive virtual ...
In order to realize the unbalanced power optimally allocated and the DC voltage stably controlled after disturbance, an adaptive droop control method considering power and voltage deviation is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results