Two-layer multi-objective optimal sizing of electric-hydrogen energy storage with the integration of extreme scenario generation and preference-information decision-making
The increasing frequency of extreme events presents significant challenges to the security and reliability of electric-hydrogen energy systems, where traditional optimal sizing methods often fail to address supply–demand imbalance risks under typical conditions. To bridge this gap, in the present st...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004399 |
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