Coordinated Optimal Scheduling of Multi-Microgrids in Intelligent Connected Transportation Systems with External Power Grids

In response to the challenges of traffic congestion and environmental pollution resulting from the rapid advancement of the global economy and urbanization, Intelligent Connected Transportation Systems (ICTS) integrated with microgrids have emerged as an innovative solution. In response to the significant uncertainty in the supply and demand within ICTS, this paper proposes a coordinated optimal scheduling strategy for multi-microgrid clusters within ICTS, in conjunction with external power grids. First, the paper analyzes the energy consumption characteristics of various intelligent connected loads, taking into account factors such as the environment and traffic flow. Subsequently, the development of an optimal power flow model is undertaken, focusing on the minimization of grid losses as the primary objective. This model is then converted into a standardized second-order cone format by employing second-order cone programming techniques, followed by its resolution through the Gurobi optimization solver. Finally, The model's efficacy is confirmed by its application to an enhanced IEEE 33-node network.