A study on mobile charging station combined with integrated energy system: Emphasis on energy dispatch strategy and multi-scenario analysis

Mobile charging vehicles (MCVs) proposed as a convenient charging method, serves as an effective complement to fixed charging. A battery-equipped MCV is an energy storage device with the added advantage of mobility, making it more worthy of in-depth research than fixed storage. This paper introduces a novel concept that combines integrated energy system (IES) with mobile charging stations (MCS), the operator of MCVs, aiming to create a more intelligent, flexible, and efficient energy management system. To achieve this, we introduce a multi-event scenarios that schedules both park activities—such as MCVs supplying energy, absorbing surplus photovoltaic energy, and replenishing their own energy—and external events involving MCVs charging electric vehicle (EV) customers. Furthermore, define the aforementioned events within and outside the park in a directed graph using a series of node sets. Building on this, we propose a multi-event IES-MCS model that considers time window constraints for park and EV customer demands. This model is formulated as a mixed-integer linear programming (MILP) problem using the Big-M method to linearize the constraints, allowing the use of solvers like CPLEX. In addition, we conducted a multi-scenario analysis to study the impact of uncertainties in park load, photovoltaic output, and EV customer demand on system performance, which provides valuable practical insights for operators. Analysis shows that this innovative combination enhances economic efficiency and promotes photovoltaic energy utilization. The IES-MCS model reduces daily operating costs by an average of 93 % compared to the traditional IES model and decreases abandoned photovoltaic power by 36.7 %, improving overall efficiency.