This paper provides a comprehensive and critical review of academic literature on mobile energy storage for power system resilience enhancement. As mobile energy storage is often coupled with mobile emergency generators or electric buses, those technologies are also considered in the review.
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.
By 2050, the promotion of renewable energy in Northeast and North China is expected to reach 75% and 66%, respectively. At this time, the overall system cost of mobile energy storage will further increase to 1.42 CNY/kWh and 0.98 CNY/kWh.
Tech-economic performance of fixed and mobile energy storage system is compared. The proposed method can improve system economics and renewable shares. With the large-scale integration of renewable energy and changes in load characteristics, the power system is facing challenges of volatility and instability.
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Integrated prefabricated cabin for energy storage power station With the core objective of improving the long-term performance of cabin-type energy storages, this paper proposes a collaborative design
Can deep reinforcement learning improve emergency mobile energy storage allocation? Existing methods for emergency mobile energy storage (EMES) allocation often struggle to balance resilience
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The research results indicate that under high grid connection ratios (using 75% and 66% as examples), the overall cost of mobile energy storage systems continues to decrease to 1.42
Compared with traditional energy storage technologies, mobile energy storage technologies have the merits of low cost and high energy conversion efficiency, can be flexibly
Compared to stationary batteries and other energy storage systems, their mobility provides operational flexibility to support geo-graphically dispersed loads across an outage area.
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