Heuristics-based Central Controller in Resilient Microgrids (RMGs) for Transportation Systems

This paper presents a Microgrid (MG) with central controller based on heuristics technique to manage the performance of MG applied to transportation system. Distributed Energy Resources (DER) are widely used in MGs to match the various load types and profiles. One potential application is the integration with the regional transportation and railway infrastructures as a new green technology. This goal will be enable interconnected Smart Energy Grids to work transparently with the recent energy storage. Railway transportation with microgrids model is proposed to balance energy flows between trains moving and braking energy, energy storage system and a main power utility network. An energy central controlling and optimization tool for the interconnected railway- microgrids can be used for energy management application and for achieving the economical cost during the operation, leading to Resilient Microgrid (RMG). Also, the present research achieves enhancing in MG dynamic performance, in addition to ensure other improvements in the power management. Digital simulations have been validated the results to show the effectiveness and improved performance using the proposed strategy.