dfpasdel / intelligent_ems

Intelligent_EMS

Work realized during summer 2018 at the Norwegian University of Science and Technology, Department of Marine Technology (NTNU, IMT) under the supervision of Mehdi Zadeh https://www.ntnu.no/ansatte/mehdi.zadeh

The aim of this work is to explore the feasibility of a Machine Learning based Energy Management System (EMS) for inboard DC-grid. The main source of energy is hydrogen (Fuel-Cell) associated with a battery to supply fast load changes.

After two months of work, the results show that Reinforcement Learning can adress simultaneously the issues of Reliability, Efficiency and Lifetime of the grid.

The work is being continued by Namireddy Praveen Reddy, PhD candidate at the NTNU Department of Marine Technology. Part of his task will be to make the simulations faster and to improve the interpreter and agent.

Contact: [email protected] | [email protected]