Guangsheng Pan, Wei Gu, Xiaogang Chen, et al. Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2577-2586.
DOI:
Guangsheng Pan, Wei Gu, Xiaogang Chen, et al. Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2577-2586.DOI: 10.17775/CSEEJPES.2021.02630.
Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory
摘要
Abstract
To further improve the utilization level of distributed photovoltaics (PV) and realize low-carbon travel
a novel optimization cooperative model that considers multi-stakeholders in-cluding integrated prosumers (IP)
power to hydrogen (P2H)
and grid company (GC) is proposed
based on the Nash bargaining theory. Electricity trading among the three and hydrogen trading between IP and P2H is considered in the model to maximize their own interests. Specifically
IP focus on distributed PV integration and low carbon travels
P2H strives to improve cost competitiveness of hydrogen
and electricity-hydrogen trading prices and quantities are optimized between them. Also
GC obtains profits by charging grid fees considering power flow constraints. The cooperation game model is transformed into a mixed-integer linear programming problem through linearization methods. Case studies show that electricity-hydrogen trading among the three has apparent advantages over pure electricity coupling or non-cooperation. With future reduction of investment prices of PV and P2H and maturity of the carbon trading market
the profit margin of this cooperation model can be further enhanced.
关键词
Keywords
references
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