Robust Pricing Strategy for Integrated Energy Systems with Charging Stations Considering Source-Load Uncertainty

The joint operation of integrated energy system and electric vehicle charging station promotes the utilization of renewable energy through multi-energy complementarity and reasonable guidance of charging and discharging. A dynamic pricing model for the joint operation of integrated energy system and charging station is first constructed based on the Stackelberg game. The model takes the integrated energy system as the leader, and sets the charging and discharging price with the goal of minimizing the operation cost; the charging station is the follower, and responds to the price by combining its own demand. A two-stage robust model is used to robustize the game model to cope with uncertainty, and the model is solved iteratively with the C&CG algorithm. Finally, the validity of the proposed robust game model is verified by example results.

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Published
2025-06-20
DOI
https://doi.org/10.1109/icetac65964.2025.11144248
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Robust Pricing Strategy for Integrated Energy Systems with Charging Stations Considering Source-Load Uncertainty

Jiaze Li, Cheng He
Integrated Energy Systems Optimization
article

Robust Pricing Strategy for Integrated Energy Systems with Charging Stations Considering Source-Load Uncertainty

Jiaze Li, Cheng He
article en

Abstract

The joint operation of integrated energy system and electric vehicle charging station promotes the utilization of renewable energy through multi-energy complementarity and reasonable guidance of charging and discharging. A dynamic pricing model for the joint operation of integrated energy system and charging station is first constructed based on the Stackelberg game. The model takes the integrated energy system as the leader, and sets the charging and discharging price with the goal of minimizing the operation cost; the charging station is the follower, and responds to the price by combining its own demand. A two-stage robust model is used to robustize the game model to cope with uncertainty, and the model is solved iteratively with the C&CG algorithm. Finally, the validity of the proposed robust game model is verified by example results.

Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 77%
Integrated Energy Systems Optimization
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