IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i20p8974-d1500278.html
   My bibliography  Save this article

Evolutionary Game Analysis Between Large Power Consumers and Power Sellers in the Context of Big-Data-Driven Value-Added Services

Author

Listed:
  • Hua Pan

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Xin Song

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Jianchao Hou

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Siyi Tan

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

Abstract

As power system reforms deepen, direct trading with large power consumers has emerged as a crucial aspect of opening up the power sales market. In light of this trend, power sales enterprises should accelerate their digital transformation in response to the growing demand for personalized services from large consumers and continuous advancements in energy digitalization and smart technologies. In particular, big data technology is critical for power enterprises to satisfy users and increase profitability as it can help enterprises gain deeper insights into user needs and behavioral characteristics. The application of big data to provide customized value-added services for large power consumers has become a key development focus. In this paper, we develop a two-party evolutionary game model involving power sellers using big data technology to profile large consumers and offer them customized value-added power packages. We conduct a detailed analysis of the local stability of equilibrium points and employ MATLAB.R2021a to examine the impact of changes in the benefits of value-added services for large consumers and the cost coefficients associated with big data on the system’s evolutionary outcomes. The study results indicate that big data technology can enhance the competitiveness of power sellers in the market. Value-added services based on user-profiling using big data have become a crucial factor in influencing the decision-making behavior of large consumers. Additionally, the investment cost in big data infrastructure by power sellers impacts system evolution, with the cost coefficient being inversely proportional to their willingness to offer customized services.

Suggested Citation

  • Hua Pan & Xin Song & Jianchao Hou & Siyi Tan, 2024. "Evolutionary Game Analysis Between Large Power Consumers and Power Sellers in the Context of Big-Data-Driven Value-Added Services," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8974-:d:1500278
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/20/8974/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/20/8974/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Xiaoli & Sun, Chuyu & Zhong, Zewei & Liu, Suwei & Yang, Zili, 2023. "Effect of market structure on renewable energy Development—A simulation study of a regional electricity market in China," Renewable Energy, Elsevier, vol. 215(C).
    2. Ndebele, Tom & Marsh, Dan & Scarpa, Riccardo, 2019. "Consumer switching in retail electricity markets: Is price all that matters?," Energy Economics, Elsevier, vol. 83(C), pages 88-103.
    3. Guo, Hongye & Chen, Qixin & Shahidehpour, Mohammad & Xia, Qing & Kang, Chongqing, 2022. "Bidding behaviors of GENCOs under bounded rationality with renewable energy," Energy, Elsevier, vol. 250(C).
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    6. Oliveira, Fernando S. & Ruiz, Carlos & Conejo, Antonio J., 2013. "Contract design and supply chain coordination in the electricity industry," European Journal of Operational Research, Elsevier, vol. 227(3), pages 527-537.
    7. Barazza, Elsa & Strachan, Neil, 2020. "The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition," Energy Policy, Elsevier, vol. 138(C).
    8. Wang, Jianhui & Zhou, Zhi & Botterud, Audun, 2011. "An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand," Energy, Elsevier, vol. 36(5), pages 3459-3467.
    9. Dong, Jun & Jiang, Yuzheng & Liu, Dongran & Dou, Xihao & Liu, Yao & Peng, Shicheng, 2022. "Promoting dynamic pricing implementation considering policy incentives and electricity retailers’ behaviors: An evolutionary game model based on prospect theory," Energy Policy, Elsevier, vol. 167(C).
    10. Yang, Yingkui, 2014. "Understanding household switching behavior in the retail electricity market," Energy Policy, Elsevier, vol. 69(C), pages 406-414.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xinyi Xie & Liming Ying & Xue Cui, 2022. "Price Strategy Analysis of Electricity Retailers Based on Evolutionary Game on Complex Networks," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    2. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    3. Wu Hu & Fujun Ma & Tianjv Li, 2025. "An Evolutionary Game and Simulation Study of Work Safety Governance and Its Impact on Long-Term Sustainability Under the Supervisory System," Sustainability, MDPI, vol. 17(2), pages 1-28, January.
    4. Wenxin Su & Xin Gao & Yukun Jiang & Jinrong Li, 2021. "Developing a Construction Safety Standard System to Enhance Safety Supervision Efficiency in China: A Theoretical Simulation of the Evolutionary Game Process," Sustainability, MDPI, vol. 13(23), pages 1-22, December.
    5. Erdogan, Murside Rabia & Camgoz, Selin Metin & Karan, Mehmet Baha & Berument, M. Hakan, 2022. "The switching behavior of large-scale electricity consumers in The Turkish electricity retail market," Energy Policy, Elsevier, vol. 160(C).
    6. Bedggood, Rowan & Russell-Bennett, Rebekah & McAndrew, Ryan & Glavas, Charmaine & Dulleck, Uwe, 2023. "Challenging the social-power paradigm: Moving beyond consumer empowerment to an energy ecosystem of shared value," Energy Policy, Elsevier, vol. 173(C).
    7. Esplin, Ryan & Best, Rohan & Scranton, Jessica & Chai, Andreas, 2022. "Who pays the loyalty tax? The relationship between socioeconomic status and switching in Australia's retail electricity markets," Energy Policy, Elsevier, vol. 164(C).
    8. Tan, Bing Qing & Kang, Kai & Zhong, Ray Y., 2023. "Electric vehicle charging infrastructure investment strategy analysis: State-owned versus private parking lots," Transport Policy, Elsevier, vol. 141(C), pages 54-71.
    9. Hongmei Shan & Yiyi An & Haoze Bai & Jing Shi, 2025. "Intergovernmental collaborative governance of emergency response logistics: an evolutionary game study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(1), pages 705-730, January.
    10. Ye Gao & Renfu Jia & Yi Yao & Jiahui Xu, 2022. "Evolutionary Game Theory and the Simulation of Green Building Development Based on Dynamic Government Subsidies," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    11. Shuaishuai Fu & Weida Chen & Junfei Ding, 2023. "The governance of rent‐seeking behavior in carbon asset pledge financing: An evolutionary game perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(5), pages 2856-2868, July.
    12. Lefeng Cheng & Pan Peng & Wentian Lu & Pengrong Huang & Yang Chen, 2024. "Study of Flexibility Transformation in Thermal Power Enterprises under Multi-Factor Drivers: Application of Complex-Network Evolutionary Game Theory," Mathematics, MDPI, vol. 12(16), pages 1-23, August.
    13. Ma, Xuan & Yu, Deqing & Wang, Ke, 2024. "Unraveling the intricacies of panic buying: An evolutionary game-theoretic exploration of the evolution and intervention," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    14. Li, Weigang & Liu, Jian, 2023. "Analysis of the evolution of pedestrian crossing based on dynamic penalty mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    15. Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Ding, Rui & Zhang, Zusheng, 2022. "Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation," Energy, Elsevier, vol. 239(PD).
    16. Wang, Xinru & Long, Ruyin & Chen, Hong & Wang, Yujie & Shi, Yanmin & Yang, Shuhan & Wu, Meifen, 2024. "How to promote the trading in China's green electricity market? Based on environmental perceptions, renewable portfolio standard and subsidies," Renewable Energy, Elsevier, vol. 222(C).
    17. Mohammad-Bagher Jamali & Hossein Khosroshahi, 2024. "Pricing and long-term decisions of manufacturers and electricity suppliers toward sustainable development under eco-innovation and renewable electricity generation: a real case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(5), pages 13097-13116, May.
    18. Widha Kusumaningdyah & Tetsuo Tezuka & Benjamin C. McLellan, 2021. "Investigating Preconditions for Sustainable Renewable Energy Product–Service Systems in Retail Electricity Markets," Energies, MDPI, vol. 14(7), pages 1-21, March.
    19. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Altmann, Jörn, 2023. "An evolutionary game-theoretic approach for investigating the long-term behavior of the industry sector for purchasing renewable and non-renewable energy: A case study of Iran," Energy, Elsevier, vol. 285(C).
    20. Shan, Haiyan & Pi, Wenjie, 2023. "Mitigating panic buying behavior in the epidemic: An evolutionary game perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8974-:d:1500278. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.