IDEAS home Printed from https://ideas.repec.org/a/eee/juipol/v93y2025ics0957178724001784.html
   My bibliography  Save this article

Microgrid operation strategies considering government subsidies and user preferences based on evolutionary games

Author

Listed:
  • Zhou, Lei
  • Wang, Jiayue

Abstract

Currently, many countries have introduced policies to support the development of microgrids. However, the fixed tariff mechanism faces challenges due to the intermittent and volatile nature of renewable energy supply. Therefore, this paper constructs a tripartite evolutionary game model containing the government, users, and microgrids. It considers the impact of subsidies on market tariffs and investigates the range of tariffs. The model incorporates government subsidies derived from prior research to analyze their effects on microgrids and users, offering guidance for formulating government subsidy programs and serving as a significant reference for microgrid pricing.

Suggested Citation

  • Zhou, Lei & Wang, Jiayue, 2025. "Microgrid operation strategies considering government subsidies and user preferences based on evolutionary games," Utilities Policy, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:juipol:v:93:y:2025:i:c:s0957178724001784
    DOI: 10.1016/j.jup.2024.101884
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0957178724001784
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jup.2024.101884?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guo, Peilian & Han, Changda, 2021. "Nash equilibrium and group strategy consensus of networked evolutionary game with coupled social groups," Applied Mathematics and Computation, Elsevier, vol. 409(C).
    2. Sun, Chuanwang, 2015. "An empirical case study about the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 160(C), pages 383-389.
    3. Tsao, Yu-Chung & Ai, Ho Thi Thu & Lu, Jye-Chyi & Wang, Chao, 2024. "Game theory-based electricity pricing decisions incorporating prosumer energy preferences and renewable portfolio standard," Energy, Elsevier, vol. 306(C).
    4. Aasen, Marianne & Christensen, Ingrid, 2024. "Lost in transaction?: An institutional analysis of households’ transaction costs from demand-side grid management," Energy Policy, Elsevier, vol. 193(C).
    5. Kalkbrenner, Bernhard J. & Yonezawa, Koichi & Roosen, Jutta, 2017. "Consumer preferences for electricity tariffs: Does proximity matter?," Energy Policy, Elsevier, vol. 107(C), pages 413-424.
    6. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N. & Burmester, Daniel, 2021. "Strategic design optimisation of multi-energy-storage-technology micro-grids considering a two-stage game-theoretic market for demand response aggregation," Applied Energy, Elsevier, vol. 287(C).
    7. Wu, Wei & Zhang, Naishan & Hu, Yingying & Zhou, Dengli & Long, Houyin, 2023. "Crossing the cross-subsidy: Evidence from China's electricity sector," Utilities Policy, Elsevier, vol. 84(C).
    8. Chen, Weidong & Zeng, Yu & Xu, Chongqing, 2019. "Energy storage subsidy estimation for microgrid: A real option game-theoretic approach," Applied Energy, Elsevier, vol. 239(C), pages 373-382.
    9. Poponi, Daniele & Basosi, Riccardo & Kurdgelashvili, Lado, 2021. "Subsidisation cost analysis of renewable energy deployment: A case study on the Italian feed-in tariff programme for photovoltaics," Energy Policy, Elsevier, vol. 154(C).
    10. Zhao, Zhiying & Lan, Yanfei & Xu, Shuxian & Zou, Hongyang & Du, Huibin, 2024. "Addressing the reliability challenge: Subsidy policies for promoting renewable electricity consumption," Energy Economics, Elsevier, vol. 139(C).
    11. Su, Yu-Wen, 2019. "Residential electricity demand in Taiwan: Consumption behavior and rebound effect," Energy Policy, Elsevier, vol. 124(C), pages 36-45.
    12. 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).
    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. Song, Xiaoling & Wu, Han & Zhang, Huqing & Guo, Jianxin & Zhang, Zhe & Peña-Mora, Feniosky, 2025. "Can retail electricity pricing promote microgrid operators to leverage shared energy storage services among internal aggregators?," Energy, Elsevier, vol. 314(C).
    2. Liu, Chang & Lin, Boqiang, 2020. "Is increasing-block electricity pricing effectively carried out in China? A case study in Shanghai and Shenzhen," Energy Policy, Elsevier, vol. 138(C).
    3. Deng Xu & Yong Long, 2019. "The Impact of Government Subsidy on Renewable Microgrid Investment Considering Double Externalities," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    4. Oberst, Christian & Harmsen - van Hout, Marjolein J. W., 2017. "Adoption and Cooperation Decisions in Sustainable Energy Infrastructure: Evidence from a Sequential Choice Experiment in Germany," FCN Working Papers 14/2017, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    5. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    6. Wei Chen & Yongle Tian & Kaiming Zheng & Nana Wan, 2023. "Influences of mechanisms on investment in renewable energy storage equipment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12569-12595, November.
    7. Ning, Jiajun & Xiong, Lixin, 2024. "Analysis of the dynamic evolution process of the digital transformation of renewable energy enterprises based on the cooperative and evolutionary game model," Energy, Elsevier, vol. 288(C).
    8. Wang, Yubao & Zhen, Junjie, 2024. "Regional electricity cooperation model for cost-effective electricity management with an emphasis on economic efficiency," Energy Policy, Elsevier, vol. 195(C).
    9. Kuang, Yunming & Lin, Boqiang, 2021. "Performance of tiered pricing policy for residential natural gas in China: Does the income effect matter?," Applied Energy, Elsevier, vol. 304(C).
    10. Chunhong Sheng & Yun Cao & Bing Xue, 2018. "Residential Energy Sustainability in China and Germany: The Impact of National Energy Policy System," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    11. Peng, Hua-Rong & Qin, Xiong-Feng, 2024. "Digitalization as a trigger for a rebound effect of electricity use," Energy, Elsevier, vol. 300(C).
    12. Shi, Zhengyu & Wu, Libo & Zhou, Yang, 2023. "Predicting household energy consumption in an aging society," Applied Energy, Elsevier, vol. 352(C).
    13. Li, Lanlan & Luo, Xuan & Zhou, Kaile & Xu, Tingting, 2018. "Evaluation of increasing block pricing for households' natural gas: A case study of Beijing, China," Energy, Elsevier, vol. 157(C), pages 162-172.
    14. Zhang, Zhipeng & Jiang, Xiaotong & Xia, Chengyi, 2025. "Zero-determinant strategy of finite games with implementation errors and its application into group decision-making," Applied Mathematics and Computation, Elsevier, vol. 486(C).
    15. Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2020. "Policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents," Energy Policy, Elsevier, vol. 139(C).
    16. Ting Zhang & Shuaishuai Cao & Lingying Pan & Chenyu Zhou, 2020. "A Policy Effect Analysis of China’s Energy Storage Development Based on a Multi-Agent Evolutionary Game Model," Energies, MDPI, vol. 13(23), pages 1-35, November.
    17. Lin, Boqiang & Chen, Xing, 2018. "Is the implementation of the Increasing Block Electricity Prices policy really effective?--- Evidence based on the analysis of synthetic control method," Energy, Elsevier, vol. 163(C), pages 734-750.
    18. Ensieh Shojaeddini & Ben Gilbert, 2023. "Heterogeneity in the Rebound Effect: Evidence from Efficient Lighting Subsidies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 173-217, January.
    19. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).
    20. Cohen, Jed & Azarova, Valeriya & Kollmann, Andrea & Reichl, Johannes, 2019. "Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles," Energy Economics, Elsevier, vol. 83(C), pages 567-577.

    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:eee:juipol:v:93:y:2025:i:c:s0957178724001784. 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: Catherine Liu (email available below). General contact details of provider: https://www.sciencedirect.com/journal/utilities-policy .

    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.