Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory

Guangsheng Pan; Wei Gu; Xiaogang Chen; Yuping Lu; Suhan Zhang

doi:10.17775/CSEEJPES.2021.02630

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory

Regular Papers | 更新时间：2026-10-15

- Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory
- Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory
- 中国电机工程学会电力与能源系统学报(英文) 2024年10卷第6期页码：2577-2586
- 作者机构：
  
  1. School of Electrical Engineering, Southeast University,Nanjing,China
  2. State Grid Zhejiang Electric Power Company,Hangzhou,China,310007
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.02630
  中图分类号：
- 纸质出版：2024-11-01
- 稿件说明：
移动端阅览
Guangsheng Pan, Wei Gu, Xiaogang Chen, 等. Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(6):2577-2586.

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.
Guangsheng Pan, Wei Gu, Xiaogang Chen, 等. Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(6):2577-2586. DOI： 10.17775/CSEEJPES.2021.02630.

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.

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

1. International Energy Agency. ( 2021, Dec. ). Renewables 2021 [Online ] . Available: https://iea.blob.core.windows.net/assets/5ae32253-7409-4f9a-a91d-1493ffb9777a/Renewables2021-Analysisandforecastto2026.pdf.

4. National Energy Administration. ( 2019, Jan. ). The National Energy Administration released the operation of renewable energy grid connection in 2018 [Online ] . Available: http://www.gov.cn/xinwen/2019-01/28/content_5361939.htm#1.

8. International Energy Agency. ( 2019, Jun. ). The future of Hydrogen [Online ] . Available: https://www.iea.org/reports/the-future-of-hydrogen.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Decentralized Robust Co-Optimization of P2P Energy Trading and Integrated Electricity-Heat-Gas-Hydrogen System Planning

Low-Carbon Economic Dispatch Considering Wind Curtailment: A Distributionally Robust Chance-Constrained Approach

Flexibility Evaluation Framework Integrating Supply and Demand for High Renewable Share Power Systems

Multi-Stage Risk-Averse Planning Approach for Multi-Type ESSs Considering Markov Transition of Persistent Low Output Scenario

Reconciling Energy Trilemma in Power Systems: A Perspective from Engineering Game Theory