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Day-ahead operation optimization of microgrid based on enhanced sardine optimization algorithm
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DOI：10.1016/j.epsr.2025.112047.png)
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Abstract
En 中文
• An enhanced sardine optimization algorithm incorporating composite opposition-based learning initialization is proposed. • Three microgrid operational scenarios are examined. • The multi-objective problem is reformulated as a single-objective optimization model.
Keywords:
sardine optimization
composite opposition-based learning
microgrid
multi-objective optimization
single-objective reformulation
Journal
IF:
4.2
Papers:
1.1W
Citations:
2.2W
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