An Optimization Strategy of Price and Conversion Factor Considering the Coupling of Electricity and Gas Based on Three-Stage Game

被引：43
作者：
Yang, Jie [1 ,2 ]
Liu, Hongru [1 ,2 ]
Ma, Kai [1 ,2 ]
Yang, Bo [3 ]
Guerrero, Josep M. [4 ]
机构：
[1] Yanshan Univ, Engn Res Ctr, Minist Educ Intelligent Control Syst & Intelligen, Qinhuangdao 066004, Hebei, Peoples R China
[2] Yanshan Univ, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao 066004, Hebei, Peoples R China
[3] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[4] Aalborg Univ, Ctr Res Microgrids CROM, AAU Energy, DK-9220 Aalborg, Denmark
来源：
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING | 2023年 / 20卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Costs; Pricing; Games; Natural gas; Optimization; Companies; Resistance heating; Integrated energy system; three-stage game; price strategy; energy hub; power to gas; OPTIMAL OPERATION; POWER; MODEL;
D O I：
10.1109/TASE.2022.3171446
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve the profits of electricity utility company (EUC) and gas utility company (GUC) and reduce the electricity and heat cost of users, an energy trading and pricing scheme based on three-stage game is proposed. Firstly, a three-stage optimization problem is established, and the conversion between electricity and gas is considered. Meanwhile, the conversion factor is introduced and coordinated with the energy price to adjust the balance of supply and demand. Then, the equilibrium solution of the game is obtained by using Lagrange function and backward induction method. In addition, an iterative algorithm is developed to obtain the optimal conversion factor between electricity and natural gas. Numerical results show that the profits of EUC and GUC are increased by 31.6% and 14.4%, the electricity and heat profits of energy hubs (EHs) are increased by 3% and 6.4%, and the electricity and heat cost of users are reduced by 9.25% and 14.05%.
引用
收藏
页码：878 / 891
页数：14
相关论文
共 36 条
[1]   Blockchain technology in the energy sector: A systematic review of challenges and opportunities [J].
Andoni, Merlinda ;
Robu, Valentin ;
Flynn, David ;
Abram, Simone ;
Geach, Dale ;
Jenkins, David ;
McCallum, Peter ;
Peacock, Andrew .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 100 :143-174
[2]   Facilitating renewables and power-to-gas via integrated electrical power-gas system scheduling [J].
Belderbos, Andreas ;
Valkaert, Thomas ;
Bruninx, Kenneth ;
Delarue, Erik ;
D'haeseleer, William .
APPLIED ENERGY, 2020, 275
[3]   Energy Systems Integration in Smart Districts: Robust Optimisation of Multi-Energy Flows in Integrated Electricity, Heat and Gas Networks [J].
Cesena, Eduardo Alejandro Martinez ;
Mancarella, Pierluigi .
IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (01) :1122-1131
[4]   Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches [J].
Ding, Jian-Ya ;
Song, Shiji ;
Zhang, Rui ;
Chiong, Raymond ;
Wu, Cheng .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2016, 13 (02) :1138-1154
[5]   Energy systems planning: A survey on models for integrated power and natural gas networks coordination [J].
Farrokhifar, Meisam ;
Nie, Yinghui ;
Pozo, David .
APPLIED ENERGY, 2020, 262 (262)
[6]   Application of Game Theory in Integrated Energy System Systems: A Review [J].
He, Jun ;
Li, Yi ;
Li, Huangqiang ;
Tong, Huamin ;
Yuan, Zhijun ;
Yang, Xiaoling ;
Huang, Wentao .
IEEE ACCESS, 2020, 8 :93380-93397
[7]   Optimal Operation of Energy Hubs With Large-Scale Distributed Energy Resources for Distribution Network Congestion Management [J].
Hu, Junjie ;
Liu, Xuetao ;
Shahidehpour, Mohammad ;
Xia, Shiwei .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (03) :1755-1765
[8]   Integrated Energy Micro-Grid Planning Using Electricity, Heating and Cooling Demands [J].
Huang, He ;
Liang, DaPeng ;
Tong, Zhen .
ENERGIES, 2018, 11 (10)
[9]   Research on Wind Power Accommodation for an Electricity-Heat-Gas integrated Microgrid System With Power-to-Gas [J].
Jiang, Yuewen ;
Guo, Liyun .
IEEE ACCESS, 2019, 7 :87118-87126
[10]   A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning [J].
Jing, Rui ;
Zhu, Xingyi ;
Zhu, Zhiyi ;
Wang, Wei ;
Meng, Chao ;
Shah, Nilay ;
Li, Ning ;
Zhao, Yingru .
ENERGY CONVERSION AND MANAGEMENT, 2018, 166 :445-462
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