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Stochastic robust optimization scheduling for integrated energy system cluster based on data-driven method
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DOI：10.1016/j.apenergy.2025.126512.png)
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Abstract
En 中文
• Renewable energy and load scenarios are generated by a dynamic Bayesian network. • A flexible hybrid model combining stochastic and robust optimization is developed. • An asymmetric Nash bargaining model is constructed to allocate benefits fairly among IES clusters.
Keywords:
renewable energy
load scenarios
dynamic Bayesian network
stochastic optimization
robust optimization
asymmetric Nash bargaining
integrated energy systems
Journal
IF:
11
Papers:
2.6W
Citations:
17.8W
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