Optimal Scheduling of DC Microgrid Groups Considering Battery Storage Spatiotemporal Sharing

To address the issue of low energy utilization in microgrid energy storage, this paper proposes an optimal scheduling strategy for DC microgrid groups based on battery spatiotemporal sharing. First, by analyzing the coordination relationship between the truck and battery, their spatiotemporal transfer model is developed. On this basis, an energy sharing model of the battery which considers the special load safety guarantee requirement is established. Moreover, an optimal energy scheduling strategy of the DC microgrid group which considers the power balance constraint is designed to minimize the total system cost. Finally, numerical simulation is carried out. simulation results validate the effectiveness of the proposed strategy.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155358
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Optimal Scheduling of DC Microgrid Groups Considering Battery Storage Spatiotemporal Sharing

Hanran Wang, Quan Sui, Chang Liu, Yuxi Wang et al.
Microgrid Control and Optimization
article

Optimal Scheduling of DC Microgrid Groups Considering Battery Storage Spatiotemporal Sharing

Hanran Wang, Quan Sui, Chang Liu, Yuxi Wang, Weiping Cao
article en

Abstract

To address the issue of low energy utilization in microgrid energy storage, this paper proposes an optimal scheduling strategy for DC microgrid groups based on battery spatiotemporal sharing. First, by analyzing the coordination relationship between the truck and battery, their spatiotemporal transfer model is developed. On this basis, an energy sharing model of the battery which considers the special load safety guarantee requirement is established. Moreover, an optimal energy scheduling strategy of the DC microgrid group which considers the power balance constraint is designed to minimize the total system cost. Finally, numerical simulation is carried out. simulation results validate the effectiveness of the proposed strategy.

China Three Gorges University (CN), PLA Information Engineering University (CN), Zhengzhou University (CN), Changjiang Institute of Survey, Planning, Design and Research (CN)
Openalex Percentile: Top 69%
Microgrid Control and Optimization
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