IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i23p6293-d453186.html
   My bibliography  Save this article

A Policy Effect Analysis of China’s Energy Storage Development Based on a Multi-Agent Evolutionary Game Model

Author

Listed:
  • Ting Zhang

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Shuaishuai Cao

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Lingying Pan

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Chenyu Zhou

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

Abstract

Energy storage technology plays a significant role in the pursuit of the high-quality development of the electricity market. Many regions in China have issued policies and regulations of different intensities for promoting the popularization of the energy storage industry. Based on a variety of initial conditions of different regions, this paper explores the evolutionary process of electricity market players considering energy storage technology. The trilateral evolutionary game model is adopted to analyze the strategies of the power plant, the power grid, and the government. After assigning the model according to an actual situation, each equilibrium point corresponds to a real electricity market situation. The results indicate the following: (1) In the process of stabilizing, the role of “Advanced Imitators” leading the strategy of building energy storage changes between the power plant and the power grid. (2) In Eastern, Middle, and Southern China, the power plants and power grids on a greater-than-medium scale will choose to build energy storage without governmental regulations, due to the abundant net profit. (3) In the northeast of China, power plants with a medium-or-lower scale will choose not to build energy storage because of the relatively low on-grid price, and small power grids can make enough profits by operating energy storage facilities. (4) In Northern China, the large power plants and the medium power grids will choose to build energy storage due to the high electricity sale price and the resulting high profit. (5) In Western China, the small power plants and power grids cannot afford to build energy storage due to the low electricity price. The results lead to valuable policy suggestions for the local governments of China in promoting energy storage in the future. To meet the goal of energy storage popularization, regional electricity market plans need relevant policies based on its existing conditions, offering suitable external conditions for adding energy storage.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6293-:d:453186
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/23/6293/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/23/6293/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiong, Yongqing & Yang, Xiaohan, 2016. "Government subsidies for the Chinese photovoltaic industry," Energy Policy, Elsevier, vol. 99(C), pages 111-119.
    2. Gu, Yujiong & Xu, Jing & Chen, Dongchao & Wang, Zhong & Li, Qianqian, 2016. "Overall review of peak shaving for coal-fired power units in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 723-731.
    3. Schyska, Bruno U. & Kies, Alexander, 2020. "How regional differences in cost of capital influence the optimal design of power systems," Applied Energy, Elsevier, vol. 262(C).
    4. Dhundhara, Sandeep & Verma, Yajvender Pal, 2018. "Capacitive energy storage with optimized controller for frequency regulation in realistic multisource deregulated power system," Energy, Elsevier, vol. 147(C), pages 1108-1128.
    5. Pandžić, H. & Dvorkin, Y. & Carrión, M., 2018. "Investments in merchant energy storage: Trading-off between energy and reserve markets," Applied Energy, Elsevier, vol. 230(C), pages 277-286.
    6. 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.
    7. Sobhani, Seyed Omid & Sheykhha, Siamak & Madlener, Reinhard, 2020. "An integrated two-level demand-side management game applied to smart energy hubs with storage," Energy, Elsevier, vol. 206(C).
    8. Gang He & Jiang Lin & Froylan Sifuentes & Xu Liu & Nikit Abhyankar & Amol Phadke, 2020. "Rapid cost decrease of renewables and storage accelerates the decarbonization of China’s power system," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    9. Cruise, James R. & Flatley, Lisa & Zachary, Stan, 2018. "Impact of storage competition on energy markets," European Journal of Operational Research, Elsevier, vol. 269(3), pages 998-1012.
    10. Lu, Qing & Lü, Shuaikang & Leng, Yajun, 2019. "A Nash-Stackelberg game approach in regional energy market considering users’ integrated demand response," Energy, Elsevier, vol. 175(C), pages 456-470.
    11. Ho, Wai Shin & Macchietto, Sandro & Lim, Jeng Shiun & Hashim, Haslenda & Muis, Zarina Ab. & Liu, Wen Hui, 2016. "Optimal scheduling of energy storage for renewable energy distributed energy generation system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1100-1107.
    12. Mauro Pasta & Colin D. Wessells & Robert A. Huggins & Yi Cui, 2012. "A high-rate and long cycle life aqueous electrolyte battery for grid-scale energy storage," Nature Communications, Nature, vol. 3(1), pages 1-7, January.
    13. Winfield, Mark & Shokrzadeh, Shahab & Jones, Adam, 2018. "Energy policy regime change and advanced energy storage: A comparative analysis," Energy Policy, Elsevier, vol. 115(C), pages 572-583.
    14. Jason Moore & Bahman Shabani, 2016. "A Critical Study of Stationary Energy Storage Policies in Australia in an International Context: The Role of Hydrogen and Battery Technologies," Energies, MDPI, vol. 9(9), pages 1-28, August.
    15. Bistline, John E.T. & Young, David T., 2020. "Emissions impacts of future battery storage deployment on regional power systems," Applied Energy, Elsevier, vol. 264(C).
    16. Bullich-Massagué, Eduard & Cifuentes-García, Francisco-Javier & Glenny-Crende, Ignacio & Cheah-Mañé, Marc & Aragüés-Peñalba, Mònica & Díaz-González, Francisco & Gomis-Bellmunt, Oriol, 2020. "A review of energy storage technologies for large scale photovoltaic power plants," Applied Energy, Elsevier, vol. 274(C).
    17. Richter, Marcel & Oeljeklaus, Gerd & Görner, Klaus, 2019. "Improving the load flexibility of coal-fired power plants by the integration of a thermal energy storage," Applied Energy, Elsevier, vol. 236(C), pages 607-621.
    18. Pearre, Nathaniel & Swan, Lukas, 2020. "Reimagining renewable electricity grid management with dispatchable generation to stabilize energy storage," Energy, Elsevier, vol. 203(C).
    19. Leonard, Matthew D. & Michaelides, Efstathios E. & Michaelides, Dimitrios N., 2020. "Energy storage needs for the substitution of fossil fuel power plants with renewables," Renewable Energy, Elsevier, vol. 145(C), pages 951-962.
    20. Engelken, Maximilian & Römer, Benedikt & Drescher, Marcus & Welpe, Isabell M. & Picot, Arnold, 2016. "Comparing drivers, barriers, and opportunities of business models for renewable energies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 795-809.
    21. Mukhopadhyay, Bineeta & Das, Debapriya, 2020. "Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    22. Sioshansi, Ramteen, 2014. "When energy storage reduces social welfare," Energy Economics, Elsevier, vol. 41(C), pages 106-116.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jing Yu & Jicheng Liu & Jiakang Sun & Mengyu Shi, 2023. "Evolutionary Game of Digital-Driven Photovoltaic–Storage–Use Value Chain Collaboration: A Value Intelligence Creation Perspective," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    2. Feng Cui & Chuanfeng Han & Pihui Liu & Minmin Teng, 2022. "Green Credit of China’s Coal Power Enterprises during Green Transformation: A Tripartite Evolutionary Game Analysis," Energies, MDPI, vol. 15(16), pages 1-20, August.

    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. Tang, Songlin & Zhou, Wenbing & Li, Xinjin & Chen, Yingchao & Zhang, Qian & Zhang, Xiliang, 2021. "Subsidy strategy for distributed photovoltaics: A combined view of cost change and economic development," Energy Economics, Elsevier, vol. 97(C).
    2. Loisel, Rodica & Simon, Corentin, 2021. "Market strategies for large-scale energy storage: Vertical integration versus stand-alone player," Energy Policy, Elsevier, vol. 151(C).
    3. Ding, Jie & Xu, Yujie & Chen, Haisheng & Sun, Wenwen & Hu, Shan & Sun, Shuang, 2019. "Value and economic estimation model for grid-scale energy storage in monopoly power markets," Applied Energy, Elsevier, vol. 240(C), pages 986-1002.
    4. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
    5. Marija Miletić & Hrvoje Pandžić & Dechang Yang, 2020. "Operating and Investment Models for Energy Storage Systems," Energies, MDPI, vol. 13(18), pages 1-33, September.
    6. Zhao, Dongwei & Jafari, Mehdi & Botterud, Audun & Sakti, Apurba, 2022. "Strategic energy storage investments: A case study of the CAISO electricity market," Applied Energy, Elsevier, vol. 325(C).
    7. Jianjun Wang & Jikun Huo & Shuo Zhang & Yun Teng & Li Li & Taoya Han, 2021. "Flexibility Transformation Decision-Making Evaluation of Coal-Fired Thermal Power Units Deep Peak Shaving in China," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    8. Jafari, Mehdi & Botterud, Audun & Sakti, Apurba, 2022. "Decarbonizing power systems: A critical review of the role of energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    9. De Vivero-Serrano, Gustavo & Bruninx, Kenneth & Delarue, Erik, 2019. "Implications of bid structures on the offering strategies of merchant energy storage systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    10. Li, Mo & Yang, Yi & Smith, Timothy M. & Wilson, Elizabeth J., 2020. "Wind can reduce storage-induced emissions at grid scales," Applied Energy, Elsevier, vol. 276(C).
    11. Byuk-Keun Jo & Seungmin Jung & Gilsoo Jang, 2019. "Feasibility Analysis of Behind-the-Meter Energy Storage System According to Public Policy on an Electricity Charge Discount Program," Sustainability, MDPI, vol. 11(1), pages 1-17, January.
    12. Rövekamp, Patrick & Schöpf, Michael & Wagon, Felix & Weibelzahl, Martin & Fridgen, Gilbert, 2021. "Renewable electricity business models in a post feed-in tariff era," Energy, Elsevier, vol. 216(C).
    13. Megy, Camille & Massol, Olivier, 2023. "Is Power-to-Gas always beneficial? The implications of ownership structure," Energy Economics, Elsevier, vol. 128(C).
    14. Capellán-Pérez, Iñigo & Campos-Celador, Álvaro & Terés-Zubiaga, Jon, 2018. "Renewable Energy Cooperatives as an instrument towards the energy transition in Spain," Energy Policy, Elsevier, vol. 123(C), pages 215-229.
    15. Md Jahidur Rahman & Tahar Tafticht & Mamadou Lamine Doumbia & Iqbal Messaïf, 2023. "Optimal Inverter Control Strategies for a PV Power Generation with Battery Storage System in Microgrid," Energies, MDPI, vol. 16(10), pages 1-36, May.
    16. Alqahtani, Mohammed & Hu, Mengqi, 2022. "Dynamic energy scheduling and routing of multiple electric vehicles using deep reinforcement learning," Energy, Elsevier, vol. 244(PA).
    17. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
    18. Jing-Li Fan & Zezheng Li & Xi Huang & Kai Li & Xian Zhang & Xi Lu & Jianzhong Wu & Klaus Hubacek & Bo Shen, 2023. "A net-zero emissions strategy for China’s power sector using carbon-capture utilization and storage," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    19. 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.
    20. James H. Merrick & John E. T. Bistline & Geoffrey J. Blanford, 2021. "On representation of energy storage in electricity planning models," Papers 2105.03707, arXiv.org, revised May 2021.

    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:jeners:v:13:y:2020:i:23:p:6293-:d:453186. 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.