The aim of this project is adapting a magnetic flywheel to peak power shaving in railway applications. The research needed to accomplish to goal focuses on two parts, namely magnetic optimization of the magnetic flywheel and electronic energy storage load profile support and control strategy.

For the magnetic optimization of the magnetic flywheel, the research will focus on optimizing the magnetic bearing, as this is the key to lifetime extension and higher efficiency. Magnetic bearings have been researched for many years for various applications, maybe most famously in the MagLev trains. We use advanced 3D numerical modelling of the current magnetic bearing combined with optimization schemes for permanent magnet devices previously developed, and currently being developed at DTU Energy, to improve the magnetic bearing design.

For the electronic energy storage load profile support and control strategy the research will focus on developing an efficient power electronic system for the flywheel. Ideally, the flywheel would draw somewhat constant power from the overlaying system while supplying surges of power when trains operate. An essential aspect of an effective implementation of this is control of the flywheel, i.e. when and how to charge the flywheel, when and how to compensate for load demand etc. In order to understand the response of the flywheel and the system, the railway system will be modeled and implemented in the state of the art Real Time Digital Simulator. Finally, Hardware-In-The-Lab platform tests on the optimal control will be conducted with load profiles acquired at field in order to verify the performance of the control. Following successful validations, the load profiles will be varied to gain better understanding how the system performs in verity of load scenarios.
19 FEBRUARY 2020