Microgrid power generation and storage management under economic performance and robust output targets

In the context of the green economy, microgrids have become a key solution for achieving low-carbon or zero-carbon power generation. As their development gains increasing attention, the economic management and hardware R&D of microgrids are critical to advancing green electricity. This study focuses on a microgrid system combining wind and photovoltaic power generation, with robust grid integration as the primary output, hydrogen energy storage as the main storage method, and batteries and supercapacitors as auxiliary charging and discharging solutions. To optimize economic performance and ensure stable output, a decision-making system based on a digital twin framework is proposed, enabling intelligent, real-time adjustments to grid integration and storage strategies. The research, conducted in a microgrid pilot park, demonstrates practical implementation with significant scalability and economic benefits exceeding 50 %, highlighting its potential value for broader applications.

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Publication Details

Journal
Energy Reports
Published
2025-05-15
DOI
https://doi.org/10.1016/j.egyr.2025.05.004
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
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Microgrid power generation and storage management under economic performance and robust output targets

Tianbai Wang, Tuo Ji, X. Y. Zhang, Yue Liu et al.
1 citations
Energy Reports
Microgrid Control and Optimization
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Microgrid power generation and storage management under economic performance and robust output targets

Tianbai Wang, Tuo Ji, X. Y. Zhang, Yue Liu, Mo Chen, Wencheng Fan
article en
1 citations

Abstract

In the context of the green economy, microgrids have become a key solution for achieving low-carbon or zero-carbon power generation. As their development gains increasing attention, the economic management and hardware R&D of microgrids are critical to advancing green electricity. This study focuses on a microgrid system combining wind and photovoltaic power generation, with robust grid integration as the primary output, hydrogen energy storage as the main storage method, and batteries and supercapacitors as auxiliary charging and discharging solutions. To optimize economic performance and ensure stable output, a decision-making system based on a digital twin framework is proposed, enabling intelligent, real-time adjustments to grid integration and storage strategies. The research, conducted in a microgrid pilot park, demonstrates practical implementation with significant scalability and economic benefits exceeding 50 %, highlighting its potential value for broader applications.

Energy ReportsVol. 13
Jiangsu University (CN), University of International Business and Economics (CN), Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 22%
Microgrid Control and Optimization
1.21
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