Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory
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 barga...
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| Format: | Article |
| Language: | English |
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China electric power research institute
2024-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10165641/ |
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| author | Guangsheng Pan Wei Gu Xiaogang Chen Yuping Lu Suhan Zhang |
| author_facet | Guangsheng Pan Wei Gu Xiaogang Chen Yuping Lu Suhan Zhang |
| author_sort | Guangsheng Pan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-24d95a50294c462796933ec285f0eb1e |
| institution | Kabale University |
| issn | 2096-0042 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj-art-24d95a50294c462796933ec285f0eb1e2024-12-21T00:02:09ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422024-01-011062577258610.17775/CSEEJPES.2021.0263010165641Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining TheoryGuangsheng Pan0Wei Gu1Xiaogang Chen2Yuping Lu3Suhan Zhang4School of Electrical Engineering, Southeast University,Nanjing,China,210096School of Electrical Engineering, Southeast University,Nanjing,China,210096State Grid Zhejiang Electric Power Company,Hangzhou,China,310000School of Electrical Engineering, Southeast University,Nanjing,China,210096School of Electrical Engineering, Southeast University,Nanjing,China,210096To 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.https://ieeexplore.ieee.org/document/10165641/Distributed PV integrationelectric vehiclefuel cell vehiclelow carbon travelnash bargainingpower to hydrogen |
| spellingShingle | Guangsheng Pan Wei Gu Xiaogang Chen Yuping Lu Suhan Zhang Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory CSEE Journal of Power and Energy Systems Distributed PV integration electric vehicle fuel cell vehicle low carbon travel nash bargaining power to hydrogen |
| title | Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory |
| title_full | Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory |
| title_fullStr | Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory |
| title_full_unstemmed | Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory |
| title_short | Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory |
| title_sort | cooperative electricity hydrogen trading model for optimizing low carbon travel using nash bargaining theory |
| topic | Distributed PV integration electric vehicle fuel cell vehicle low carbon travel nash bargaining power to hydrogen |
| url | https://ieeexplore.ieee.org/document/10165641/ |
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