Abstract
The environmental and resilience concerns and the potential mass adoption of electric vehicles (EVs) call for managing and operating power-mobility systems (PMS) as a whole. Agent-based and network flow-based modeling methods have proven useful for potential model-based PMS management and operation, but they tend to be heavy in computation, lack intuitive implications of overall PMS dynamics, and are inflexible to the change of the problem scope and resolution. These challenges call for a complementary modeling approach to facilitate model-based large-scale urban PMS decision-making. To this end, we propose a dynamic macroscopic modeling framework for high-level strategic decision-making. The framework contains three main components – power production and delivery, energy exchange interface between power grids and EVs, and EV-involved mobility systems. A case study shows that this approach facilitates tractable and coherent model development with low computational requirements and shows promising benefits of coordinated PMS.
