Optimal operation of multi-agent electricity-heat-hydrogen sharing in integrated energy system based on Nash bargaining

被引:34
|
作者
Ding, Jianyong [1 ]
Gao, Ciwei [1 ]
Song, Meng [1 ,2 ]
Yan, Xingyu [1 ]
Chen, Tao [1 ,2 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
[2] Southeast Univ, Jiangsu Prov Key Lab Smart Grid Technol & Equipmen, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated energy system; P2P transaction; Nash bargaining; Power to hydrogen; Hydrogen-blended natural gas;
D O I
10.1016/j.ijepes.2022.108930
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The P2P transaction mode has significant potential in improving energy utilization, increasing economic effi-ciency, and promoting low carbon operation of the system. With the development of integrated energy system, the coupling between multi-energy systems is continuously strengthened, and the study of multi-energy P2P transactions is of great significance. Considering the characteristic that natural gas can blend with hydrogen, this paper proposes a multi-agent electricity-heat-hydrogen trading model by taking hydrogen produced on the load side as a P2P transaction object. Based on Nash bargaining theory, the multi-energy transactions model is equivalent to a cooperative game model. Then, the Nash bargaining model is transformed into two continuous subproblems of minimizing operating cost and maximizing transaction payment. The optimal cost of each agent operating independently is used as the negotiation rupture point, and the alternating direction multiplier method is used for sequential solution to obtain the multi-energy trading power and trading price, respectively. Finally, the effectiveness of the proposed method is verified by using the distribution network IEEE 33-bus and natural gas 11 node systems. The results show that the revenue of subject 1 is increased by 11.9%, and the operating costs of the other subjects are reduced by 3.4%, 2.7% and 3.1%, respectively. The overall carbon tax cost of the system is reduced by 1 196.59 CNY, which can effectively reduce the carbon emission of the system.
引用
收藏
页数:14
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