After-sales model of mobile energy storage power supply

What is a mobile energy storage system (mess)?

During emergencies via a shift in the produced energy, mobile energy storage systems (MESSs) can store excess energy on an island, and then use it in another location without sufficient energy supply and at another time , which provides high flexibility for distribution system operators to make disaster recovery decisions .

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 a mobile energy storage system?

A mobile energy storage system is composed of a mobile vehicle, battery system and power conversion system . Relying on its spatial–temporal flexibility, it can be moved to different charging stations to exchange energy with the power system.

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 the optimal scheduling model of mobile energy storage systems?

The optimal scheduling model of mobile energy storage systems is established. Mobile energy storage systems work coordination with other resources. Regulation and control methods of resources generate a bilevel optimization model. Resilience of distribution network is enhanced through bilevel optimization.

Do mobile energy storage systems have a bilevel optimization model?

Therefore, mobile energy storage systems with adequate spatial–temporal flexibility are added, and work in coordination with resources in an active distribution network and repair teams to establish a bilevel optimization model.