These aspects are discussed, along with a discussion on the cost–benefit analysis of mobile energy resources. The paper concludes by presenting research gaps, associated challenges, and potential future directions to address these challenges.
With the increase in the proportion of new energy generation, it is necessary to build energy storage system to contribute to the new energy electricity consump
This article will elaborate on three aspects: multi-dimensional application scenario analysis of mobile energy storage system, multi-scenario application control strategy and demonstration field application.
With the participation of mobile energy storage system, the distribution system has a certain amount of stable power supply at the early stage of post-disaster recovery, and the flexibility of the distribution system is further guaranteed.
The basic model and typical application scenarios of a mobile power supply system with battery energy storage as the platform are introduced, and the input process and key technologies of mobile
This discovery fully confirms the enormous potential and application value of mobile energy storage in high proportion renewable energy scenarios, providing strong technical support and economic analysis basis for the sustainable development of the power system.
To address that, this paper proposes a mobile energy storage dispatch model to minimize the load curtailment. The framework of rolling optimization is established to update the optimal strategy with the real-time factors, including grid, transportation, and MES.
To provide grid-independent energy for a wide range of scenarios, this small, lightweight power pack can be charged via USB, solar panels, wall plugs or EV charging stations.
Innovative materials, strategies, and technologies are highlighted. Finally, the future directions are envisioned. We hope this review will advance the development of mobile energy storage technologies and boost carbon neutrality.
The core idea is to use the energy storage resources of numerous electric vehicles as a buffer for grid load power supply. Through this technology, electric vehicles can act as special MESS within a distribution network.
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.
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.
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.
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.
Mobile energy storage can improve system flexibility, stability, and regional connectivity, and has the potential to serve as a supplement or even substitute for fixed energy storage in the future. However, there are few studies that comprehensively evaluate the operational performance and economy of fixed and mobile energy storage systems.
Moreover, from the simulation results shown in Fig. 6(h) and (i), the movement of the mobile energy storage system between different charging station nodes meets the transportation time requirements, which verifies the effectiveness of the MESS’s spatial–temporal movement model proposed in this paper.
