IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v310y2022ics0306261921015130.html
   My bibliography  Save this article

A market feedback framework for improved estimates of the arbitrage value of energy storage using price-taker models

Author

Listed:
  • Ikechi Emmanuel, Michael
  • Denholm, Paul

Abstract

Price-taker (PT) models are often used to assess the potential value or revenue of energy arbitrage opportunities for energy storage in wholesale markets. But as greater amounts of energy storage are deployed on the grid, current PT models fail to predict the effects that energy storage itself can have on market prices. This can lead to an overestimation of the economic value of storage and an inability to capture price suppression.

Suggested Citation

  • Ikechi Emmanuel, Michael & Denholm, Paul, 2022. "A market feedback framework for improved estimates of the arbitrage value of energy storage using price-taker models," Applied Energy, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:appene:v:310:y:2022:i:c:s0306261921015130
    DOI: 10.1016/j.apenergy.2021.118250
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921015130
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.118250?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. Walawalkar, Rahul & Apt, Jay & Mancini, Rick, 2007. "Economics of electric energy storage for energy arbitrage and regulation in New York," Energy Policy, Elsevier, vol. 35(4), pages 2558-2568, April.
    2. He, Xian & Delarue, Erik & D'haeseleer, William & Glachant, Jean-Michel, 2011. "A novel business model for aggregating the values of electricity storage," Energy Policy, Elsevier, vol. 39(3), pages 1575-1585, March.
    3. Rafal Weron, 2014. "A review of electricity price forecasting: The past, the present and the future," HSC Research Reports HSC/14/02, Hugo Steinhaus Center, Wroclaw University of Technology.
    4. Conejo, Antonio J. & Contreras, Javier & Espinola, Rosa & Plazas, Miguel A., 2005. "Forecasting electricity prices for a day-ahead pool-based electric energy market," International Journal of Forecasting, Elsevier, vol. 21(3), pages 435-462.
    5. McConnell, Dylan & Forcey, Tim & Sandiford, Mike, 2015. "Estimating the value of electricity storage in an energy-only wholesale market," Applied Energy, Elsevier, vol. 159(C), pages 422-432.
    6. Sioshansi, Ramteen & Denholm, Paul & Jenkin, Thomas & Weiss, Jurgen, 2009. "Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects," Energy Economics, Elsevier, vol. 31(2), pages 269-277, March.
    7. Lepszy, Sebastian, 2020. "Analysis of the storage capacity and charging and discharging power in energy storage systems based on historical data on the day-ahead energy market in Poland," Energy, Elsevier, vol. 213(C).
    8. Martinek, Janna & Jorgenson, Jennie & Mehos, Mark & Denholm, Paul, 2018. "A comparison of price-taker and production cost models for determining system value, revenue, and scheduling of concentrating solar power plants," Applied Energy, Elsevier, vol. 231(C), pages 854-865.
    9. Shafiee, Soroush & Zamani-Dehkordi, Payam & Zareipour, Hamidreza & Knight, Andrew M., 2016. "Economic assessment of a price-maker energy storage facility in the Alberta electricity market," Energy, Elsevier, vol. 111(C), pages 537-547.
    10. Mauricio B. C. Salles & Junling Huang & Michael J. Aziz & William W. Hogan, 2017. "Potential Arbitrage Revenue of Energy Storage Systems in PJM," Energies, MDPI, vol. 10(8), pages 1-19, July.
    11. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    12. Arcos-Vargas, Ángel & Canca, David & Núñez, Fernando, 2020. "Impact of battery technological progress on electricity arbitrage: An application to the Iberian market," Applied Energy, Elsevier, vol. 260(C).
    13. Bradbury, Kyle & Pratson, Lincoln & Patiño-Echeverri, Dalia, 2014. "Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets," Applied Energy, Elsevier, vol. 114(C), pages 512-519.
    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. Tostado-Véliz, Marcos & Liang, Yingqi & Hasanien, Hany M. & Turky, Rania A. & Martínez-Moreno, Juan & Jurado, Francisco, 2023. "Robust optimal coordination of active distribution networks and energy communities with high penetration of renewables," Renewable Energy, Elsevier, vol. 218(C).
    2. Lu, Xin & Qiu, Jing & Zhang, Cuo & Lei, Gang & Zhu, Jianguo, 2024. "Seizing unconventional arbitrage opportunities in virtual power plants: A profitable and flexible recruitment approach," Applied Energy, Elsevier, vol. 358(C).
    3. Jalving, Jordan & Ghouse, Jaffer & Cortes, Nicole & Gao, Xian & Knueven, Bernard & Agi, Damian & Martin, Shawn & Chen, Xinhe & Guittet, Darice & Tumbalam-Gooty, Radhakrishna & Bianchi, Ludovico & Beat, 2023. "Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates," Applied Energy, Elsevier, vol. 351(C).
    4. Tostado-Véliz, Marcos & Jordehi, Ahmad Rezaee & Mansouri, Seyed Amir & Jurado, Francisco, 2023. "A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots," Energy, Elsevier, vol. 263(PD).

    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. Núñez, Fernando & Canca, David & Arcos-Vargas, Ángel, 2022. "An assessment of European electricity arbitrage using storage systems," Energy, Elsevier, vol. 242(C).
    2. Antweiler, Werner, 2021. "Microeconomic models of electricity storage: Price Forecasting, arbitrage limits, curtailment insurance, and transmission line utilization," Energy Economics, Elsevier, vol. 101(C).
    3. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
    4. Elmore, Clay T. & Dowling, Alexander W., 2021. "Learning spatiotemporal dynamics in wholesale energy markets with dynamic mode decomposition," Energy, Elsevier, vol. 232(C).
    5. Rangarajan, Arvind & Foley, Sean & Trück, Stefan, 2023. "Assessing the impact of battery storage on Australian electricity markets," Energy Economics, Elsevier, vol. 120(C).
    6. Kahvecioğlu, Gökçe & Morton, David P. & Wagner, Michael J., 2022. "Dispatch optimization of a concentrating solar power system under uncertain solar irradiance and energy prices," Applied Energy, Elsevier, vol. 326(C).
    7. Mercier, Thomas & Olivier, Mathieu & De Jaeger, Emmanuel, 2023. "The value of electricity storage arbitrage on day-ahead markets across Europe," Energy Economics, Elsevier, vol. 123(C).
    8. Fernando N'u~nez & David Canca & 'Angel Arcos-Vargas, 2020. "An assessment of European electricity arbitrage using storage systems," Papers 2010.11912, arXiv.org.
    9. Çam, Eren, 2020. "Optimal Dispatch of a Coal-Fired Power Plant with Integrated Thermal Energy Storage," EWI Working Papers 2020-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 10 Aug 2021.
    10. Mauricio B. C. Salles & Junling Huang & Michael J. Aziz & William W. Hogan, 2017. "Potential Arbitrage Revenue of Energy Storage Systems in PJM," Energies, MDPI, vol. 10(8), pages 1-19, July.
    11. Brändle, Gregor & Schönfisch, Max & Schulte, Simon, 2020. "Estimating Long-Term Global Supply Costs for Low-Carbon Hydrogen," EWI Working Papers 2020-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 10 Aug 2021.
    12. Arcos-Vargas, Ángel & Canca, David & Núñez, Fernando, 2020. "Impact of battery technological progress on electricity arbitrage: An application to the Iberian market," Applied Energy, Elsevier, vol. 260(C).
    13. Berrada, Asmae & Loudiyi, Khalid & Zorkani, Izeddine, 2016. "Valuation of energy storage in energy and regulation markets," Energy, Elsevier, vol. 115(P1), pages 1109-1118.
    14. Khan, Agha Salman M. & Verzijlbergh, Remco A. & Sakinci, Ozgur Can & De Vries, Laurens J., 2018. "How do demand response and electrical energy storage affect (the need for) a capacity market?," Applied Energy, Elsevier, vol. 214(C), pages 39-62.
    15. Goteti, Naga Srujana & Hittinger, Eric & Sergi, Brian & Lima Azevedo, Inês, 2021. "How does new energy storage affect the operation and revenue of existing generation?," Applied Energy, Elsevier, vol. 285(C).
    16. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    17. Billé, Anna Gloria & Gianfreda, Angelica & Del Grosso, Filippo & Ravazzolo, Francesco, 2023. "Forecasting electricity prices with expert, linear, and nonlinear models," International Journal of Forecasting, Elsevier, vol. 39(2), pages 570-586.
    18. McConnell, Dylan & Forcey, Tim & Sandiford, Mike, 2015. "Estimating the value of electricity storage in an energy-only wholesale market," Applied Energy, Elsevier, vol. 159(C), pages 422-432.
    19. Weron, Rafał & Zator, Michał, 2015. "A note on using the Hodrick–Prescott filter in electricity markets," Energy Economics, Elsevier, vol. 48(C), pages 1-6.
    20. Telaretti, E. & Dusonchet, L., 2017. "Stationary battery technologies in the U.S.: Development Trends and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 380-392.

    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:310:y:2022:i:c:s0306261921015130. 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.