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LLM-guided hybrid control and meta-optimization for multi-BESS voltage regulation in distribution networks
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DOI：10.1016/j.aei.2026.105130.png)
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Abstract
En 中文
• A hierarchical LLM-guided hybrid meta-optimization framework is developed for adaptive voltage regulation. • Hybrid MASAC-MATD3 with gated fusion and bidirectional distillation improves coordinated control robustness. • The proposed method achieves 33% higher return and reduces voltage/SoC fluctuations by 28.1%/31.1%.
Keywords:
High-penetration distribution network voltage control
Multi-agent reinforcement learning
Hybrid control strategy
Meta-optimization
Large language model
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