Research on Industrial Economic Development and Electricity Price Adjustment Strategy Based on Multi-Agent Game
Abstract - 3936
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Keywords

Electricity market
Optimization of game
Industrial transformation
Electricity price scheme adjustment

How to Cite

1.
Cai Q, Han X, Wang W. Research on Industrial Economic Development and Electricity Price Adjustment Strategy Based on Multi-Agent Game. Glob. J. Energy. Technol. Res. Updates. [Internet]. 2023 Dec. 18 [cited 2024 Oct. 14];10:33-4. Available from: https://avantipublishers.com/index.php/gjetru/article/view/1476

Abstract

With the deepening of the electricity market reform and the accelerating transformation of the new power system, the number of new electricity customers in the market with local development characteristics has increased. The local industrial and economic development have been affected by the ability to guide electricity prices. In this paper, using the multi-agent game based on exploring the impact of electricity price on the industrial economy, the specific optimization scheme of electricity price adjustment is proposed with the aim of improving the overall efficiency of the power grid and reducing the cost of electricity for industrial users. After the game, the overall efficiency of the electricity supplier will be increased by about 3.06 percent, and the cost of electricity used by various special industries will be reduced by about 6.86 percent to 4.48 percent. The win-win situation of the electricity suppliers’ income and the featured industries’ development can be achieved by the optimization results. As well as the cost of electricity consumption in featured industries can be reduced, and the comprehensive benefits of electricity suppliers can be improved by using the electricity price adjustment scheme after game interaction, which promotes the rational use of energy and meets the current social requirements for the green and sustainable development of the electricity industry.

https://doi.org/10.15377/2409-5818.2023.10.3
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References

Lei Z, Yong-xia Z, Yan-li X, Jun-chao Z. Research on electricity price reform policies to boost the development of real economy in Ningxia. China Market. 2022; (32): 69-72. https://doi.org/10.13939/j.cnki.zgsc.2022.32.069

Xi-jun R, Zhu-meng S, Bao W, Yu-tong Y, Si-jia P, Meng-yuan W, et al. Application status and development prospect of two-part electricity price in the context of transmission and distribution price reform. J Shanghai Jiao Tong Uni. 2023; 1-18 (E-pub ahead of print). https://doi.org/10.16183/j.cnki.jsjtu.2023.102

Hong-jin P, Hong-jun G, Yan-hong Y, Wang W. Design of multiple retail packages and multilevel market power purchase strategies for electricity selling based on master-slave game. Chinese J Electr Eng. 2022; 42(13): 4785-800. https://doi.org/10.13334/j.0258-8013.pcsee.210291

Xiang-peng Z, Jun Y, Xin-yan W, Yi-ming S. Robust pricing strategies for electricity retailers considering real-time market linkages. Grid Technol. 2022; 46(06): 2141-53. https://doi.org/10.13335/j.1000-3673.pst.2021.2157

Yeming D, Yan G, Hongwei G. Leader-follower game model for demand response in smart residential grid. Auto Electr Power Sys. 2017; 41(15): 88-94. https://doi.org/10.7500/AEPS20161122008

Chen Q, Fang X, Guo H, Zheng K, Tang Q, Lyu R, et al. The competition and equilibrium in power markets under decarbonization and decentralization. iEnergy. 2022; 1(2): 188-203. https://doi.org/10.23919/ien.2022.0025

Qingmiao Z, Laijun C, Hengrui M, Xiaodai X, Shengwei M. Time- of- use price strategy for shared energy storage based on Stackelberg game. Power Econ. 2022; 50(7): 82-8.

Yang Z, Ni M, Liu H. Pricing strategy of multi-energy provider considering integrated demand response. IEEE Access. 2020; 8: 149041-51. https://doi.org/10.1109/ACCESS.2020.3016005.

Lu Peng, Feng C, Wu W, Wang T, Xie L, Ma R. A two-layer Stackelberg game model of energy trading price and quantity for an integrated energy system with P2G park. China Electric Power. 2022; (6): 74-9. https://doi.org/10.11930/j.issn.1004-9649.202011095

Kai-cheng L, Guan-tao L, Xing-zhen B, Xi-yao Y, Lei-jiao G, Ruo-yuan Z. Dynamic pricing and low-carbon economic dispatch of park-level integrated energy system based on master-slave game. High Volt Technol. 2023; 1-14 (E-pub ahead of print). https://doi.org/10.13336/j.1003-6520.hve.20230411

Jing-jing S. Research on wind power bidding for Internet access based on game theory [Dissertation]. Harbin Inst Technol. 2020. https://doi.org/10.27061/d.cnki.ghgdu.2019.003129

Zheng-zheng L. Research on comprehensive benefit evaluation of transmission projects of power grid companies [Dissertation]. North China Electric Power University (Beijing); 2021. https://doi.org/1010.27140/d.cnki.ghbbu.2020.001093

Gang W, Yi-hang S, Bo H, Ci-wei G. A study on time-sharing electricity price pricing strategy for residential customers based on incomplete information Stackelberg game. Electr Supply Consum. 2021; 38(02): 46-52. https://doi.org/10.19421/j.cnki.1006-6357.2021.02.008

Zhang F. Research on electricity price game model based on clean energy consumption [Dissertation]. Shenyang University of Technology; 2019.

Hai-tao L. Research on time-sharing transmission and distribution electricity price mechanism [Dissertation]. North China Electric Power University (Beijing); 2018.

Qing-you Y, Yi-xin S, Chao Q, Hong-Fu TZ. The pricing model for transmission and distribution tariff under different voltage levels based on the long-run marginal cost method. TOEEJ. 2015; 9(1): 347-54. https://doi.org/10.13335/j.1000-3673.pst.2011.07.005

Li H, Wang X, Xie Y, Chen T, Han H, Yang Y. The impact of transmission and distribution price reform on economic growth in liberalized electricity markets: an inter-provincial panel data analysis. Front Environ Sci. 2022; 9: 755319. https://doi.org/10.3389/fenvs.2021.755319

Zhan C, Ze-wen L, Rui-qi Z, Hao L, Chong-shan W. Optimization strategy of time-of-use electricity price of electricity sales companies based on load transfer. Southern Power Grid Technology; 2023; 1-8 (E-pub ahead of print). https://doi.org/10. 13648/j. cnki. issn1674-0629. 2024. 01. 008

Zhi-kai W, Xiao P, Qi Z, Lin-kun M, Wen-de W, Meng-zeng C, et al. Design of transmission and distribution electricity price for different types of users with calculation and transmission and distribution cost sharing. J Shanghai Uni Technol. 2022; 44(02): 148-56. https://doi.org/10.13255/j.cnki.jusst.20220225002

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Copyright (c) 2023 Qianhui Cai, Xue Han, Wei Wang