Skip to main content

ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1388681
This article is part of the Research Topic Optimization and Efficiency Model for Energy Internet View all 4 articles

Research on Optimal Configuration of Mobile Energy Storage in Distribution Networks Considering Various Energy Utilization Efficiencies

Provisionally accepted
Dong Fu Dong Fu Bin Li Bin Li *Liangzhi Yin Liangzhi Yin Xuebin Sun Xuebin Sun Hong Cui Hong Cui
  • State Grid Anshan Electric Power Supply Company, Anshan, China

The final, formatted version of the article will be published soon.

    As renewable energy sources like wind and solar increasingly integrate into the distribution grid, traditional electrical grids encounter unprecedented complexity and instability. This study introduces an innovative method for optimizing Modular Mobile Battery Energy Storage (MMBES) configurations. It investigates five core attributes of energy storage configuration and creates a model that accommodates the uncertainties of extreme scenarios. This approach not only improves the adaptability of energy storage systems but also equips decision-makers with a tool for proactive and adaptable decision-making in complex environments. Empirical research shows that modular mobile energy storage significantly boosts distribution grid performance by effectively addressing the challenges of renewable integration. By fine-tuning decision-makers' cognitive parameters, energy storage configurations better align with subjective preferences, ensuring economic viability and enhancing grid resilience. This study presents a novel perspective and method for configuring energy storage in urban distribution grids amid widespread renewable integration, particularly in capacity-limited areas, offering insights for more flexible and reliable grid operations.

    Keywords: Mobile energy storage, Distribution grid, PROSPECT model, Scenario uncertainty, Adaptive decision-making

    Received: 20 Feb 2024; Accepted: 27 Sep 2024.

    Copyright: © 2024 Fu, Li, Yin, Sun and Cui. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Bin Li, State Grid Anshan Electric Power Supply Company, Anshan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.