Optimal dispatch of mobile energy storage vehicles

Can a mobile energy storage dispatch model reduce load curtailment?

However, it is inevitable to consider the complicated coupling relations of mobile energy storage, transportation network, and power grid, which can cause issues of complex modeling and low efficiency. To address that, this paper proposes a mobile energy storage dispatch model to minimize the load curtailment.

Can mobile energy storage systems improve resilience in post-disaster operations?

Distributed energy resources, especially mobile energy storage systems (MESS), play a crucial role in enhancing the resilience of electrical distribution networks. However, research is lacking on pre-positioning of MESS to enhance resilience, efficiency and electrical resource utilization in post-disaster operations.

What is mobile energy storage?

Mobile energy storage (MES) is a typical flexible resource, which can be used to provide an emergency power supply for the distribution system. However, it is inevitable to consider the complicated coupling relations of mobile energy storage, transportation network, and power grid, which can cause issues of complex modeling and low efficiency.

Can mobile energy storage systems be pre-allocated on a short-time scale?

The main contributions of this paper are summarized hereafter: (1) Propose a novel method to pre-allocate mobile energy storage systems on a short-time scale. This allows the MESS to quickly participate in post-disaster load recovery, reducing loss of load and improving the efficiency of the MESS.

How can mobile energy storage systems be improved?

Establishing a pre-positioning method for mobile energy storage systems. Modeling flexible resources and analyzing their supply capabilities. Coordinating the operation of mobile energy storage systems with other flexible resources. Enhancing the resilience of the distribution network through bi-level optimization.

What is the optimal dispatch of Mes?

The optimal dispatch of MES includes two aspects, i.e., path planning and energy storage power dispatch. Path planning is to optimize the driving path and destination of MES, and energy storage power dispatch is to optimize the charge–discharge power strategies of MES.