IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v239y2022ipes0360544221026943.html
   My bibliography  Save this article

Towards improved prosumer participation: Electricity trading in local markets

Author

Listed:
  • Kühnbach, Matthias
  • Bekk, Anke
  • Weidlich, Anke

Abstract

Local energy markets are a promising way to involve prosumers in the electricity system and activate demand-side flexibility. In this paper, we develop a modeling framework consisting of an optimization for prosumer home energy management systems embedded in a local energy market simulation. To enable an integrated assessment, the local market is linked to a central spot market. For each prosumer, we consider the individual flexibility potential, home storage systems, and demand response of electric vehicles. Using this model, we analyze the costs and benefits of a local market for prosumers in an energy system with a high share of renewable energy. We compare the systemic effects and the potential economic benefits of this local market for prosumers to pure self-consumption and prosumer participation in a central spot market. Applying our model to a case study of 480 prosumers, we show that a system including a local market is beneficial compared to self-consumption from a systemic perspective. However, allowing prosumers to participate directly in a central spot market is more profitable and facilitates the system integration of renewables.

Suggested Citation

  • Kühnbach, Matthias & Bekk, Anke & Weidlich, Anke, 2022. "Towards improved prosumer participation: Electricity trading in local markets," Energy, Elsevier, vol. 239(PE).
  • Handle: RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221026943
    DOI: 10.1016/j.energy.2021.122445
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221026943
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.122445?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. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    2. Bouffard, François & Kirschen, Daniel S., 2008. "Centralised and distributed electricity systems," Energy Policy, Elsevier, vol. 36(12), pages 4504-4508, December.
    3. Rommel, Jens & Sagebiel, Julian & Müller, Jakob R., 2016. "Quality uncertainty and the market for renewable energy: Evidence from German consumers," Renewable Energy, Elsevier, vol. 94(C), pages 106-113.
    4. James Nicolaisen & Valentin Petrov & Leigh Tesfatsion, 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Computational Economics 0004005, University Library of Munich, Germany.
    5. Michael L. Bynum & Gabriel A. Hackebeil & William E. Hart & Carl D. Laird & Bethany L. Nicholson & John D. Siirola & Jean-Paul Watson & David L. Woodruff, 2021. "Pyomo — Optimization Modeling in Python," Springer Optimization and Its Applications, Springer, edition 3, number 978-3-030-68928-5, September.
    6. Loisel, Rodica & Pasaoglu, Guzay & Thiel, Christian, 2014. "Large-scale deployment of electric vehicles in Germany by 2030: An analysis of grid-to-vehicle and vehicle-to-grid concepts," Energy Policy, Elsevier, vol. 65(C), pages 432-443.
    7. Neves, Diana & Scott, Ian & Silva, Carlos A., 2020. "Peer-to-peer energy trading potential: An assessment for the residential sector under different technology and tariff availabilities," Energy, Elsevier, vol. 205(C).
    8. Klingler, Anna-Lena, 2018. "The effect of electric vehicles and heat pumps on the market potential of PV + battery systems," Energy, Elsevier, vol. 161(C), pages 1064-1073.
    9. Schmidt, J. & Schönhart, M. & Biberacher, M. & Guggenberger, T. & Hausl, S. & Kalt, G. & Leduc, S. & Schardinger, I. & Schmid, E., 2012. "Regional energy autarky: Potentials, costs and consequences for an Austrian region," Energy Policy, Elsevier, vol. 47(C), pages 211-221.
    10. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    11. Parrish, Bryony & Heptonstall, Phil & Gross, Rob & Sovacool, Benjamin K., 2020. "A systematic review of motivations, enablers and barriers for consumer engagement with residential demand response," Energy Policy, Elsevier, vol. 138(C).
    12. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    13. Mengelkamp, Esther & Gärttner, Johannes & Rock, Kerstin & Kessler, Scott & Orsini, Lawrence & Weinhardt, Christof, 2018. "Designing microgrid energy markets," Applied Energy, Elsevier, vol. 210(C), pages 870-880.
    14. Yael Parag & Benjamin K. Sovacool, 2016. "Electricity market design for the prosumer era," Nature Energy, Nature, vol. 1(4), pages 1-6, April.
    15. Cosic, Armin & Stadler, Michael & Mansoor, Muhammad & Zellinger, Michael, 2021. "Mixed-integer linear programming based optimization strategies for renewable energy communities," Energy, Elsevier, vol. 237(C).
    16. Mohammadi Rad, Amin & Barforoushi, Taghi, 2020. "Optimal scheduling of resources and appliances in smart homes under uncertainties considering participation in spot and contractual markets," Energy, Elsevier, vol. 192(C).
    17. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    18. Amin Shokri Gazafroudi & Javier Prieto & Juan Manuel Corchado, 2019. "Virtual Organization Structure for Agent-Based Local Electricity Trading," Energies, MDPI, vol. 12(8), pages 1-11, April.
    19. Good, Nicholas & Ellis, Keith A. & Mancarella, Pierluigi, 2017. "Review and classification of barriers and enablers of demand response in the smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 57-72.
    20. Schleich, Joachim & Klobasa, Marian & Gölz, Sebastian & Brunner, Marc, 2013. "Effects of feedback on residential electricity demand—Findings from a field trial in Austria," Energy Policy, Elsevier, vol. 61(C), pages 1097-1106.
    21. Hanemann, Philipp & Bruckner, Thomas, 2018. "Effects of electric vehicles on the spot market price," Energy, Elsevier, vol. 162(C), pages 255-266.
    22. Rae, Callum & Bradley, Fiona, 2012. "Energy autonomy in sustainable communities—A review of key issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6497-6506.
    23. Lin, Chun-Cheng & Wu, Yi-Fang & Liu, Wan-Yu, 2021. "Optimal sharing energy of a complex of houses through energy trading in the Internet of energy," Energy, Elsevier, vol. 220(C).
    24. Ecker, Franz & Spada, Hans & Hahnel, Ulf J.J., 2018. "Independence without control: Autarky outperforms autonomy benefits in the adoption of private energy storage systems," Energy Policy, Elsevier, vol. 122(C), pages 214-228.
    25. Bhatti, Bilal Ahmad & Broadwater, Robert, 2020. "Distributed Nash Equilibrium Seeking for a Dynamic Micro-grid Energy Trading Game with Non-quadratic Payoffs," Energy, Elsevier, vol. 202(C).
    26. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    27. Klingler, Anna-Lena, 2017. "Self-consumption with PV+Battery systems: A market diffusion model considering individual consumer behaviour and preferences," Applied Energy, Elsevier, vol. 205(C), pages 1560-1570.
    28. Ottesen, Stig Ødegaard & Tomasgard, Asgeir & Fleten, Stein-Erik, 2016. "Prosumer bidding and scheduling in electricity markets," Energy, Elsevier, vol. 94(C), pages 828-843.
    29. Müller, Matthias Otto & Stämpfli, Adrian & Dold, Ursula & Hammer, Thomas, 2011. "Energy autarky: A conceptual framework for sustainable regional development," Energy Policy, Elsevier, vol. 39(10), pages 5800-5810, October.
    30. Hashemipour, Naser & Crespo del Granado, Pedro & Aghaei, Jamshid, 2021. "Dynamic allocation of peer-to-peer clusters in virtual local electricity markets: A marketplace for EV flexibility," Energy, Elsevier, vol. 236(C).
    31. 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.
    32. Luthander, Rasmus & Widén, Joakim & Munkhammar, Joakim & Lingfors, David, 2016. "Self-consumption enhancement and peak shaving of residential photovoltaics using storage and curtailment," Energy, Elsevier, vol. 112(C), pages 221-231.
    33. Wu, Jinran & Cui, Zhesen & Chen, Yanyan & Kong, Demeng & Wang, You-Gan, 2019. "A new hybrid model to predict the electrical load in five states of Australia," Energy, Elsevier, vol. 166(C), pages 598-609.
    34. Jin, Xiaolong & Wu, Qiuwei & Jia, Hongjie, 2020. "Local flexibility markets: Literature review on concepts, models and clearing methods," Applied Energy, Elsevier, vol. 261(C).
    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. Kara, Güray & Pisciella, Paolo & Tomasgard, Asgeir & Farahmand, Hossein & Crespo del Granado, Pedro, 2022. "Stochastic local flexibility market design, bidding, and dispatch for distribution grid operations," Energy, Elsevier, vol. 253(C).
    2. Inna Lazanyuk & Svetlana Ratner & Svetlana Revinova & Konstantin Gomonov & Swati Modi, 2023. "Diffusion of Renewable Microgeneration on the Side of End-User: Multiple Case Study," Energies, MDPI, vol. 16(6), pages 1-22, March.

    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. Kühnbach, Matthias & Pisula, Stefan & Bekk, Anke & Weidlich, Anke, 2020. "How much energy autonomy can decentralised photovoltaic generation provide? A case study for Southern Germany," Applied Energy, Elsevier, vol. 280(C).
    2. Alexandra Lüth & Jens Weibezahn & Jan Martin Zepter, 2020. "On Distributional Effects in Local Electricity Market Designs—Evidence from a German Case Study," Energies, MDPI, vol. 13(8), pages 1-26, April.
    3. Mehdinejad, Mehdi & Shayanfar, Heidarali & Mohammadi-Ivatloo, Behnam, 2022. "Decentralized blockchain-based peer-to-peer energy-backed token trading for active prosumers," Energy, Elsevier, vol. 244(PA).
    4. Héctor Marañón-Ledesma & Asgeir Tomasgard, 2019. "Analyzing Demand Response in a Dynamic Capacity Expansion Model for the European Power Market," Energies, MDPI, vol. 12(15), pages 1-24, August.
    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. Dynge, Marthe Fogstad & Crespo del Granado, Pedro & Hashemipour, Naser & Korpås, Magnus, 2021. "Impact of local electricity markets and peer-to-peer trading on low-voltage grid operations," Applied Energy, Elsevier, vol. 301(C).
    7. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
    8. Thomaßen, Georg & Redl, Christian & Bruckner, Thomas, 2022. "Will the energy-only market collapse? On market dynamics in low-carbon electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    9. Juntunen, Jouni K. & Martiskainen, Mari, 2021. "Improving understanding of energy autonomy: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    10. Brodnicke, Linda & Gabrielli, Paolo & Sansavini, Giovanni, 2023. "Impact of policies on residential multi-energy systems for consumers and prosumers," Applied Energy, Elsevier, vol. 344(C).
    11. Steven Beattie & Wai-Kin (Victor) Chan & Zixuan Wei & Zhibin Zhu, 2022. "Simulation Analysis of a Double Auction-Based Local Energy Market in Socio-Economic Context," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    12. Esmaeili Aliabadi, Danial & Kaya, Murat & Sahin, Guvenc, 2017. "Competition, risk and learning in electricity markets: An agent-based simulation study," Applied Energy, Elsevier, vol. 195(C), pages 1000-1011.
    13. Maarten Wolsink, 2020. "Framing in Renewable Energy Policies: A Glossary," Energies, MDPI, vol. 13(11), pages 1-31, June.
    14. McKenna, Russell & Merkel, Erik & Fichtner, Wolf, 2017. "Energy autonomy in residential buildings: A techno-economic model-based analysis of the scale effects," Applied Energy, Elsevier, vol. 189(C), pages 800-815.
    15. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    16. Villa-Arrieta, Manuel & Sumper, Andreas, 2019. "Economic evaluation of Nearly Zero Energy Cities," Applied Energy, Elsevier, vol. 237(C), pages 404-416.
    17. Matthew Gough & Sérgio F. Santos & Mohammed Javadi & Rui Castro & João P. S. Catalão, 2020. "Prosumer Flexibility: A Comprehensive State-of-the-Art Review and Scientometric Analysis," Energies, MDPI, vol. 13(11), pages 1-32, May.
    18. Mitridati, Lesia & Kazempour, Jalal & Pinson, Pierre, 2021. "Design and game-Theoretic analysis of community-Based market mechanisms in heat and electricity systems," Omega, Elsevier, vol. 99(C).
    19. Franz Harke & Philipp Otto, 2023. "Solar Self-Sufficient Households as a Driving Factor for Sustainability Transformation," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    20. Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are agent-based simulations robust? The wholesale electricity trading case," Economics Working Papers 1214, Department of Economics and Business, Universitat Pompeu Fabra.

    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:energy:v:239:y:2022:i:pe:s0360544221026943. 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.journals.elsevier.com/energy .

    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.