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Non-cooperative game theoretic-based two-stage nested optimization model for energy hub pricing and management considering extreme conditions


Extreme events are reshaping how energy systems must be designed and operated. The latest paper of the National Natural Science Foundation of China presents a game-theoretic, two-stage optimisation framework for energy hub pricing and management that jointly improves economic performance and resilience.


By coordinating heterogeneous energy sources while ensuring a Nash equilibrium, the proposed approach delivers:


• Up to 22.5% reduction in load loss under extreme scenarios.

• 4–5% improvement in economic benefits for energy hub operators.


This work highlights how advanced optimisation and strategic market design can strengthen sustainable power supply and system resilience when it matters most.


 
 
 

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