Cooperative Economic Dispatch of Mobile Energy Storage

In this paper, a flexible energy storage vehicle scheduling method is proposed. This approach incorporates various forms of flexible energy storage vehicle, such as electric vehicles, flexible energy storage vehicles and hydrogen-driven vehicle. It calculates the transportation energy consumption of flexible energy storage vehicle to optimally schedule flexible energy storage vehicle in the distribution network. Models are developed for three types of flexible energy storage vehicle to assess the controllable power available from them across different time periods. A multi-objective function is formulated to minimize peak-valley load differences and distribution network operating costs. Using these methods, the optimal solution for cooperative economic dispatch of flexible energy storage vehicle is achieved. The analysis of the IEEE 33-node case shows that the proposed approach effectively reduces load peaks and enhances economic efficiency.