Energy Optimisation of Large-Scale Microgrids for Bus Fleets with Vehicle-to-Grid Integration

Project description

To optimize energy management within large-scale microgrids the rising adoption of electric buses presents significant challenges plus opportunities. In this project the focusing point is to develop and advanced energy optimization framework for bus fleets with Vehicle-to-Grid (V2G) integration. By developing V2G technology, buses can act as and energy storage units. Also, grid stability and operational costs can be enhanced and reduced respectively. In this project the primary objective is to minimize energy consumption and peak demand when the renewable energy sourse is utilized at its maximum within the microgrid. To do that and advanced alogorithm, including predictive modeling and real-time optimization will be setup to schedule charging and discharing of buses in line with grid requirements, fleet schedules and renewable generation patterns. This study will introduce some important factors such as energy cost reduction, grid reliablity, and environmental sustainability. It is expected that the solution will not only reduce cost of the operation but also improves the energy efficiency of microgrids in the sustainable transportation system.

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