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Proactive dispatch strategy under spatiotemporal market volatility and EV-operator integration in multi-energy microgrids based on a multi-level game-theoretic robust optimization
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DOI：10.1016/j.ijepes.2025.111475.png)
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Abstract
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• Robust model handles EV, load, and price uncertainty in multi-energy microgrids. • Stackelberg game optimizes EV–grid interactions for decentralized energy scheduling. • Clustering reduces EV uncertainty, improving realism and limiting conservatism. • C&CG algorithm ensures fast convergence for real-time scheduling. • Model outperforms others in cost-efficiency and uncertainty resilience.
Keywords:
Multi-energy microgrids
Three-stage robust optimization
Electric vehicle aggregator
Game-theoretic energy scheduling
Spatiotemporal market uncertainty
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