What question did this study set out to answer?

The study aims to develop a robust optimization model for multi-microgrid systems to enhance renewable energy consumption and support carbon reduction goals.

May 22, 2026SustainabilityOpen Access

Robust Optimization Scheduling of Multi-Microgrid Systems Considering Hydrogen Storage Characteristics and Energy-Sharing Station

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Authors

FGFangjie GaoNorth University of China CDCongyi DingNorth University of China YWYubin WangNorth University of China

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Implication

Randomized trial demonstrates enhanced renewable energy utilization in multi-microgrid systems, indicating efficient resource management.

Key Points

The study aims to develop a robust optimization model for multi-microgrid systems to enhance renewable energy consumption and support carbon reduction goals.
Developed a framework integrating external energy networks, energy-sharing stations, and multi-microgrid systems.
Designed a multi-time-scale hydrogen energy storage model to optimize renewable energy use.
Constructed a multi-scenario decision model to account for renewable energy uncertainty.
Reduced total annual operating cost by 82.64% while increasing renewable energy utilization.
Demonstrated effective management of seasonal energy interactions within the system.
Provided a reference for promoting low-carbon sustainable development.

Cite This Study

Gao et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff3aed674f7c03778c831 https://doi.org/10.3390/su18105161

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Robust Optimization Scheduling of Multi-Microgrid Systems Considering Hydrogen Storage Characteristics and Energy-Sharing Station

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Cite This Study

Robust Optimization Scheduling of Multi-Microgrid Systems Considering Hydrogen Storage Characteristics and Energy-Sharing Station

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Key Points

Cite This Study

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