Scheduling of the DC Microgrid Group Integrating Mobile Energy Storages Under Power Rationing

Direct current microgrids (DCMGs) may face power rationings in the case of power shortage, resulting in significant load interruptions and economic losses. To address the problem, mobile energy storage (MES) is used to realize energy sharing between multiple DC microgrids in this paper. First, a new spatiotemporal transfer model of the MES based on travel frequency is established. MES's flexible charging and discharging constraints are also developed. On this basis, an energy scheduling strategy of the DC microgrid group integrating MESs under power rationing is designed, where the battery operational limit and the power balance constraint are considered. This scheduling model is directly solved using commercial solvers. Finally, the case study validates the superiority of the proposed strategy.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/sgai64825.2025.11009839
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Scheduling of the DC Microgrid Group Integrating Mobile Energy Storages Under Power Rationing

Zhen Zheng, Hanran Wang, Shaohua Huang, Quan Sui et al.
Microgrid Control and Optimization
article

Scheduling of the DC Microgrid Group Integrating Mobile Energy Storages Under Power Rationing

Zhen Zheng, Hanran Wang, Shaohua Huang, Quan Sui, Wenfeng Chen, Fei Yan, Chang Liu
article en

Abstract

Direct current microgrids (DCMGs) may face power rationings in the case of power shortage, resulting in significant load interruptions and economic losses. To address the problem, mobile energy storage (MES) is used to realize energy sharing between multiple DC microgrids in this paper. First, a new spatiotemporal transfer model of the MES based on travel frequency is established. MES's flexible charging and discharging constraints are also developed. On this basis, an energy scheduling strategy of the DC microgrid group integrating MESs under power rationing is designed, where the battery operational limit and the power balance constraint are considered. This scheduling model is directly solved using commercial solvers. Finally, the case study validates the superiority of the proposed strategy.

Zhengzhou University (CN), Changjiang Institute of Survey, Planning, Design and Research (CN)
China Postdoctoral Science Foundation, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 87%
Microgrid Control and Optimization
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