IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v239y2019icp373-382.html
   My bibliography  Save this article

Energy storage subsidy estimation for microgrid: A real option game-theoretic approach

Author

Listed:
  • Chen, Weidong
  • Zeng, Yu
  • Xu, Chongqing

Abstract

Microgrid development is presently limited due to high costs, especially its energy storage system (ESS) component. ESS subsidy policies, as the main response options, seem essential to be explored to promote the diffusion of microgrid. In this study, we propose an evolutionary game model combined with real options to guide ESS subsidy policies for microgrid by applying to a small electricity network served by a regulated utility. As there exists market share arrangements during the game, a multi-objective programming is formulated to determine the optimal investment capacity for each market participant. To evaluate our model, we provide a numerical example to demonstrate how different ESS subsidies affect the fluctuation amplitudes and equilibrium positions in microgrid diffusion process. The results indicate that price subsidy for energy storage has more significant effect than initial cost subsidy for microgrid development. In addition, although the importance of ESS electricity price subsidy is reflected, its combination with initial cost subsidy may both ensure investment value of microgrid and reduce the initial cost of such a capital-intensive component.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:239:y:2019:i:c:p:373-382
    DOI: 10.1016/j.apenergy.2019.01.232
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919302612
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.01.232?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. Arthur van Benthem & Kenneth Gillingham & James Sweeney, 2008. "Learning-by-Doing and the Optimal Solar Policy in California," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 131-152.
    2. Thijssen, Jacco J.J. & Huisman, Kuno J.M. & Kort, Peter M., 2012. "Symmetric equilibrium strategies in game theoretic real option models," Journal of Mathematical Economics, Elsevier, vol. 48(4), pages 219-225.
    3. Romankiewicz, John & Marnay, Chris & Zhou, Nan & Qu, Min, 2014. "Lessons from international experience for China's microgrid demonstration program," Energy Policy, Elsevier, vol. 67(C), pages 198-208.
    4. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    5. Azevedo, Alcino & Paxson, Dean, 2014. "Developing real option game models," European Journal of Operational Research, Elsevier, vol. 237(3), pages 909-920.
    6. Jeon, Chanwoong & Lee, Jeongjin & Shin, Juneseuk, 2015. "Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case," Applied Energy, Elsevier, vol. 142(C), pages 33-43.
    7. Gately, Dermot, 1974. "Sharing the Gains from Regional Cooperation: A Game Theoretic Application to Planning Investment in Electric Power," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 195-208, February.
    8. O. Schmidt & A. Hawkes & A. Gambhir & I. Staffell, 2017. "The future cost of electrical energy storage based on experience rates," Nature Energy, Nature, vol. 2(8), pages 1-8, August.
    9. Williams, Nathaniel J. & Jaramillo, Paulina & Taneja, Jay & Ustun, Taha Selim, 2015. "Enabling private sector investment in microgrid-based rural electrification in developing countries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1268-1281.
    10. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.
    11. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    12. Kumbaroglu, Gürkan & Madlener, Reinhard & Demirel, Mustafa, 2008. "A real options evaluation model for the diffusion prospects of new renewable power generation technologies," Energy Economics, Elsevier, vol. 30(4), pages 1882-1908, July.
    13. Yu, Hongwei & Duan, Jinhui & Du, Wei & Xue, Song & Sun, Jinghui, 2017. "China's energy storage industry: Develop status, existing problems and countermeasures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 767-784.
    14. Kim, Kyoung-Kuk & Lee, Chi-Guhn, 2012. "Evaluation and optimization of feed-in tariffs," Energy Policy, Elsevier, vol. 49(C), pages 192-203.
    15. Roger Adkins & Dean Paxson, 2017. "The effects of an uncertain abandonment value on the investment decision," The European Journal of Finance, Taylor & Francis Journals, vol. 23(12), pages 1083-1106, September.
    16. Yoldaş, Yeliz & Önen, Ahmet & Muyeen, S.M. & Vasilakos, Athanasios V. & Alan, İrfan, 2017. "Enhancing smart grid with microgrids: Challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 205-214.
    17. Dulluri, Sandeep & Raghavan, N.R. Srinivasa, 2008. "Collaboration in tool development and capacity investments in high technology manufacturing networks," European Journal of Operational Research, Elsevier, vol. 187(3), pages 962-977, June.
    18. Davis, Graham A. & Owens, Brandon, 2003. "Optimizing the level of renewable electric R&D expenditures using real options analysis," Energy Policy, Elsevier, vol. 31(15), pages 1589-1608, December.
    19. Soshinskaya, Mariya & Crijns-Graus, Wina H.J. & Guerrero, Josep M. & Vasquez, Juan C., 2014. "Microgrids: Experiences, barriers and success factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 659-672.
    20. Palizban, Omid & Kauhaniemi, Kimmo & Guerrero, Josep M., 2014. "Microgrids in active network management—Part I: Hierarchical control, energy storage, virtual power plants, and market participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 428-439.
    21. Alvarez, Luis H. R., 1999. "Optimal exit and valuation under demand uncertainty: A real options approach," European Journal of Operational Research, Elsevier, vol. 114(2), pages 320-329, April.
    22. Cassimon, Danny & Engelen, Peter-Jan & Yordanov, Vilimir, 2011. "Compound Real Option Valuation with Phase-Specific Volatility: a Multi-phase Mobile Payments Case Study," MPRA Paper 46053, University Library of Munich, Germany.
    23. Guo, Xiaodan & Guo, Xiaopeng, 2015. "China's photovoltaic power development under policy incentives: A system dynamics analysis," Energy, Elsevier, vol. 93(P1), pages 589-598.
    24. Li, Yun & Li, Yanbin & Ji, Pengfei & Yang, Jing, 2015. "Development of energy storage industry in China: A technical and economic point of review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 805-812.
    25. Allan, Grant & Eromenko, Igor & Gilmartin, Michelle & Kockar, Ivana & McGregor, Peter, 2015. "The economics of distributed energy generation: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 543-556.
    26. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, George, 2013. "Modeling of financial incentives for investments in energy storage systems that promote the large-scale integration of wind energy," Applied Energy, Elsevier, vol. 105(C), pages 138-154.
    27. Zou, Yuan & Li, Shengbo Eben & Shao, Bing & Wang, Baojin, 2016. "State-space model with non-integer order derivatives for lithium-ion battery," Applied Energy, Elsevier, vol. 161(C), pages 330-336.
    28. Yong Long & Yu Wang & Chengrong Pan, 2018. "Incentive Mechanism of Micro-grid Project Development," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    29. Costa, Paulo Moisés & Matos, Manuel A. & Peças Lopes, J.A., 2008. "Regulation of microgeneration and microgrids," Energy Policy, Elsevier, vol. 36(10), pages 3893-3904, October.
    30. P. Taylor & L. Jonker, 2010. "Evolutionarily Stable Strategies and Game Dynamics," Levine's Working Paper Archive 457, David K. Levine.
    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. 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.
    2. 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).
    3. Àlex Alonso & Jordi de la Hoz & Helena Martín & Sergio Coronas & José Matas, 2021. "Individual vs. Community: Economic Assessment of Energy Management Systems under Different Regulatory Frameworks," Energies, MDPI, vol. 14(3), pages 1-27, January.
    4. 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.
    5. Pablo Benalcazar & Adam Suski & Jacek Kamiński, 2020. "The Effects of Capital and Energy Subsidies on the Optimal Design of Microgrid Systems," Energies, MDPI, vol. 13(4), pages 1-23, February.
    6. Younes Zahraoui & Tarmo Korõtko & Argo Rosin & Hannes Agabus, 2023. "Market Mechanisms and Trading in Microgrid Local Electricity Markets: A Comprehensive Review," Energies, MDPI, vol. 16(5), pages 1-52, February.
    7. Liu, Jiangfeng & Zhang, Qi & Li, Hailong & Chen, Siyuan & Teng, Fei, 2022. "Investment decision on carbon capture and utilization (CCU) technologies—A real option model based on technology learning effect," Applied Energy, Elsevier, vol. 322(C).
    8. Lai, Chun Sing & Locatelli, Giorgio, 2021. "Valuing the option to prototype: A case study with Generation Integrated Energy Storage," Energy, Elsevier, vol. 217(C).
    9. Bian, Yifan & Xie, Lirong & Ye, Jiahao & Ma, Lan & Cui, Chuanshi, 2024. "Peer-to-peer energy sharing model considering multi-objective optimal allocation of shared energy storage in a multi-microgrid system," Energy, Elsevier, vol. 288(C).
    10. 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.
    11. Àlex Alonso-Travesset & Diederik Coppitters & Helena Martín & Jordi de la Hoz, 2023. "Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review," Energies, MDPI, vol. 16(2), pages 1-30, January.
    12. Sun, Bo & Fan, Boyang & Wu, Chun & Xie, Jingdong, 2024. "Exploring incentive mechanisms for the CCUS project in China's coal-fired power plants: An option-game approach," Energy, Elsevier, vol. 288(C).
    13. Zhang, Mingming & Nie, Jinchen & Su, Bin & Liu, Liyun, 2024. "An option game model applicable to multi-agent cooperation investment in energy storage projects," Energy Economics, Elsevier, vol. 131(C).
    14. Nie, Qingyun & Zhang, Lihui & Tong, Zihao & Hubacek, Klaus, 2022. "Strategies for applying carbon trading to the new energy vehicle market in China: An improved evolutionary game analysis for the bus industry," Energy, Elsevier, vol. 259(C).
    15. Lyu, Yuan & He, Yongxiu & Li, Shanzi & Zhou, Jinghan & Tian, BingYing, 2024. "Channeling approach of prosumer connection costs considering regional differences in China — Evolutionary game among distributed photovoltaic entities," Energy, Elsevier, vol. 289(C).
    16. Long, Yong & Liu, Xia, 2024. "Optimal green investment strategy for grid-connected microgrid considering the impact of renewable energy source endowment and incentive policy," Energy, Elsevier, vol. 295(C).
    17. Dan Yu & Caihong Zhang & Siyi Wang & Lan Zhang, 2023. "Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal," Energies, MDPI, vol. 16(3), pages 1-19, February.

    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. Yu Zeng & Weidong Chen, 2019. "The Determination of Concession Period for Build-Operate-Transfer Solar Photovoltaic Power Project under Policy Incentives: A Case Study of China," Energies, MDPI, vol. 12(18), pages 1-23, September.
    2. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    3. Zhang, Mingming & Nie, Jinchen & Su, Bin & Liu, Liyun, 2024. "An option game model applicable to multi-agent cooperation investment in energy storage projects," Energy Economics, Elsevier, vol. 131(C).
    4. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Chen, H.T., 2017. "Optimal design of subsidy to stimulate renewable energy investments: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 873-883.
    5. Yao, Xing & Fan, Ying & Zhu, Lei & Zhang, Xian, 2020. "Optimization of dynamic incentive for the deployment of carbon dioxide removal technology: A nonlinear dynamic approach combined with real options," Energy Economics, Elsevier, vol. 86(C).
    6. Jeon, Chanwoong & Lee, Jeongjin & Shin, Juneseuk, 2015. "Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case," Applied Energy, Elsevier, vol. 142(C), pages 33-43.
    7. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    8. Assereto, Martina & Byrne, Julie, 2021. "No real option for solar in Ireland: A real option valuation of utility scale solar investment in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    9. Weidong Chen & Yujie Bi, 2018. "Electricity price subsidy or carbon-trading subsidy: which is more efficient to develop photovoltaic power generation from a government perspective?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(5), pages 667-683, June.
    10. Martín-Barrera, Gonzalo & Zamora-Ramírez, Constancio & González-González, José M., 2016. "Application of real options valuation for analysing the impact of public R&D financing on renewable energy projects: A company′s perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 292-301.
    11. Mo, Jian-Lei & Schleich, Joachim & Zhu, Lei & Fan, Ying, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Energy Economics, Elsevier, vol. 52(PB), pages 255-264.
    12. Balter, Anne G. & Huisman, Kuno J.M. & Kort, Peter M., 2022. "Effects of creative destruction on the size and timing of an investment," International Journal of Production Economics, Elsevier, vol. 252(C).
    13. Billette de Villemeur, Etienne & Ruble, Richard & Versaevel, Bruno, 2014. "Innovation and imitation incentives in dynamic duopoly," MPRA Paper 59453, University Library of Munich, Germany.
    14. Thomas Sachs & Anna Gründler & Milos Rusic & Gilbert Fridgen, 2019. "Framing Microgrid Design from a Business and Information Systems Engineering Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(6), pages 729-744, December.
    15. Moon, Yongma & Baran, Mesut, 2018. "Economic analysis of a residential PV system from the timing perspective: A real option model," Renewable Energy, Elsevier, vol. 125(C), pages 783-795.
    16. Lee, Shun-Chung & Shih, Li-Hsing, 2010. "Renewable energy policy evaluation using real option model -- The case of Taiwan," Energy Economics, Elsevier, vol. 32(Supplemen), pages 67-78, September.
    17. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    18. Zormpas, Dimitrios & Ruble, Richard, 2021. "The dynamics of preemptive and follower investments with overlapping ownership," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    19. Sendstad, Lars Hegnes & Chronopoulos, Michail, 2017. "Strategic Technology Switching under Risk Aversion and Uncertainty," Discussion Papers 2017/10, Norwegian School of Economics, Department of Business and Management Science.
    20. Sim, Jaehun & Kim, Chae-Soo, 2019. "The value of renewable energy research and development investments with default consideration," Renewable Energy, Elsevier, vol. 143(C), pages 530-539.

    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:appene:v:239:y:2019:i:c:p:373-382. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.