Capacity Optimization Configuration of a Highway Ring Multi-Microgrid System Considering the Coordination of Fixed and Mobile Energy Storage

To mitigate the mismatch between fluctuating renewable generation and load demand in highway service area multi-microgrid systems, this paper develops a day-ahead capacity optimization model based on the coordinated operation of fixed and mobile energy storage. A ring-structured multi-microgrid architecture is established, incorporating a “one-to-many” interaction mode of mobile storage stations. A coordinated control strategy is then proposed to enable flexible power dispatch and resource sharing among microgrids. The objective function minimizes both investment and operating costs of energy storage on a day-ahead timescale, and the model is solved using an optimization approach. Case study results demonstrate that introducing mobile energy storage significantly reduces the required capacity of local fixed storage, enhances energy interconnection among microgrids, and improves overall storage utilization and system economy.

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Publication Details

Journal
Sustainability
Published
2026-01-07
DOI
https://doi.org/10.3390/su18020629
Primary Topic
Microgrid Control and Optimization
Type
article
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Capacity Optimization Configuration of a Highway Ring Multi-Microgrid System Considering the Coordination of Fixed and Mobile Energy Storage

Ruifeng Shi, Lulu Wang, Jiayi Wang, Caiping Jiang et al.
Sustainability
Microgrid Control and Optimization
article

Capacity Optimization Configuration of a Highway Ring Multi-Microgrid System Considering the Coordination of Fixed and Mobile Energy Storage

Ruifeng Shi, Lulu Wang, Jiayi Wang, Caiping Jiang, Feng Lin, Yabin Wang, Xianran Zhu
article en

Abstract

To mitigate the mismatch between fluctuating renewable generation and load demand in highway service area multi-microgrid systems, this paper develops a day-ahead capacity optimization model based on the coordinated operation of fixed and mobile energy storage. A ring-structured multi-microgrid architecture is established, incorporating a “one-to-many” interaction mode of mobile storage stations. A coordinated control strategy is then proposed to enable flexible power dispatch and resource sharing among microgrids. The objective function minimizes both investment and operating costs of energy storage on a day-ahead timescale, and the model is solved using an optimization approach. Case study results demonstrate that introducing mobile energy storage significantly reduces the required capacity of local fixed storage, enhances energy interconnection among microgrids, and improves overall storage utilization and system economy.

SustainabilityVol. 18(2)
North China Electric Power University (CN), China Datang Corporation (China) (CN)
Openalex Percentile: Top 95%
Microgrid Control and Optimization
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