IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v94y2021ics0140988320304059.html
   My bibliography  Save this article

Helping end-users help each other: Coordinating development and operation of distributed resources through local power markets and grid tariffs

Author

Listed:
  • Askeland, Magnus
  • Backe, Stian
  • Bjarghov, Sigurd
  • Korpås, Magnus

Abstract

There is an ongoing transition in the power system towards an increasing amount of flexible resources and generation technologies at the distribution system level. An appealing alternative to facilitate efficient utilization of such decentralized energy resources is to coordinate the power at the neighbourhood level. This paper proposes a game-theoretic framework to analyze a local trading mechanism and its feedback effect on grid tariffs under cost recovery conditions for the distribution system operator. The novelty of the proposed framework is to consider both long-term and short-term aspects to evaluate the socio-economic value of establishing a local trading mechanism. Under our assumptions, the main finding is that the establishment of local electricity markets can decrease the total costs by facilitating coordination of resources and thus create higher socio-economic value than the uncoordinated solution. Furthermore, a sensitivity analysis on the tariff levels reveals that there are two equilibrium solutions, one where the grid costs are exactly balanced by tariff income and one where the neighbourhood decides to disconnect from the larger power system. These results indicate that although a local trading mechanism can reduce the need for grid capacity, it may not be cost optimal for neighbourhoods to become completely self-sufficient.

Suggested Citation

  • Askeland, Magnus & Backe, Stian & Bjarghov, Sigurd & Korpås, Magnus, 2021. "Helping end-users help each other: Coordinating development and operation of distributed resources through local power markets and grid tariffs," Energy Economics, Elsevier, vol. 94(C).
  • Handle: RePEc:eee:eneeco:v:94:y:2021:i:c:s0140988320304059
    DOI: 10.1016/j.eneco.2020.105065
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988320304059
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2020.105065?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. Faruqui, Ahmad & Harris, Dan & Hledik, Ryan, 2010. "Unlocking the [euro]53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment," Energy Policy, Elsevier, vol. 38(10), pages 6222-6231, October.
    2. Brown, David P. & Sappington, David E.M., 2018. "On the role of maximum demand charges in the presence of distributed generation resources," Energy Economics, Elsevier, vol. 69(C), pages 237-249.
    3. Hoarau, Quentin & Perez, Yannick, 2019. "Network tariff design with prosumers and electromobility: Who wins, who loses?," Energy Economics, Elsevier, vol. 83(C), pages 26-39.
    4. Michael G. Pollitt, 2018. "Electricity Network Charging in the Presence of Distributed Energy Resources: Principles, Problems and Solutions," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    5. Eid, Cherrelle & Reneses Guillén, Javier & Frías Marín, Pablo & Hakvoort, Rudi, 2014. "The economic effect of electricity net-metering with solar PV: Consequences for network cost recovery, cross subsidies and policy objectives," Energy Policy, Elsevier, vol. 75(C), pages 244-254.
    6. Parra, David & Patel, Martin K., 2016. "Effect of tariffs on the performance and economic benefits of PV-coupled battery systems," Applied Energy, Elsevier, vol. 164(C), pages 175-187.
    7. Backe, Stian & Kara, Güray & Tomasgard, Asgeir, 2020. "Comparing individual and coordinated demand response with dynamic and static power grid tariffs," Energy, Elsevier, vol. 201(C).
    8. Sousa, Tiago & Soares, Tiago & Pinson, Pierre & Moret, Fabio & Baroche, Thomas & Sorin, Etienne, 2019. "Peer-to-peer and community-based markets: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 367-378.
    9. Tim Schittekatte and Leonardo Meeus, 2020. "Least-cost Distribution Network Tariff Design in Theory and Practice," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5), pages 119-156.
    10. Lüth, Alexandra & Zepter, Jan Martin & Crespo del Granado, Pedro & Egging, Ruud, 2018. "Local electricity market designs for peer-to-peer trading: The role of battery flexibility," Applied Energy, Elsevier, vol. 229(C), pages 1233-1243.
    11. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    12. Eid, Cherrelle & Codani, Paul & Perez, Yannick & Reneses, Javier & Hakvoort, Rudi, 2016. "Managing electric flexibility from Distributed Energy Resources: A review of incentives for market design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 237-247.
    13. Lindberg, K.B. & Bakker, S.J. & Sartori, I., 2019. "Modelling electric and heat load profiles of non-residential buildings for use in long-term aggregate load forecasts," Utilities Policy, Elsevier, vol. 58(C), pages 63-88.
    14. Salpakari, Jyri & Rasku, Topi & Lindgren, Juuso & Lund, Peter D., 2017. "Flexibility of electric vehicles and space heating in net zero energy houses: an optimal control model with thermal dynamics and battery degradation," Applied Energy, Elsevier, vol. 190(C), pages 800-812.
    15. Abada, Ibrahim & Ehrenmann, Andreas & Lambin, Xavier, 2020. "Unintended consequences: The snowball effect of energy communities," Energy Policy, Elsevier, vol. 143(C).
    16. Cherrelle Eid & Paul Codani & Yannick Perez & Javier Reneses & Rudi Hakvoort, 2016. "Managing electric flexibility from Distributed Energy Resources: A review of incentives for market design," Post-Print hal-01792419, HAL.
    17. Simshauser, Paul, 2016. "Distribution network prices and solar PV: Resolving rate instability and wealth transfers through demand tariffs," Energy Economics, Elsevier, vol. 54(C), pages 108-122.
    18. Passey, Robert & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2017. "Designing more cost reflective electricity network tariffs with demand charges," Energy Policy, Elsevier, vol. 109(C), pages 642-649.
    19. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    20. Zugno, Marco & Morales, Juan Miguel & Pinson, Pierre & Madsen, Henrik, 2013. "A bilevel model for electricity retailers' participation in a demand response market environment," Energy Economics, Elsevier, vol. 36(C), pages 182-197.
    21. Bergaentzlé, Claire & Jensen, Ida Græsted & Skytte, Klaus & Olsen, Ole Jess, 2019. "Electricity grid tariffs as a tool for flexible energy systems: A Danish case study," Energy Policy, Elsevier, vol. 126(C), pages 12-21.
    22. Sandberg, Eli & Kirkerud, Jon Gustav & Trømborg, Erik & Bolkesjø, Torjus Folsland, 2019. "Energy system impacts of grid tariff structures for flexible power-to-district heat," Energy, Elsevier, vol. 168(C), pages 772-781.
    23. Kirkerud, Jon Gustav & Trømborg, Erik & Bolkesjø, Torjus Folsland, 2016. "Impacts of electricity grid tariffs on flexible use of electricity to heat generation," Energy, Elsevier, vol. 115(P3), pages 1679-1687.
    24. Schittekatte, Tim & Momber, Ilan & Meeus, Leonardo, 2018. "Future-proof tariff design: Recovering sunk grid costs in a world where consumers are pushing back," Energy Economics, Elsevier, vol. 70(C), pages 484-498.
    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. Dynge, Marthe Fogstad & Berg, Kjersti & Bjarghov, Sigurd & Cali, Ümit, 2023. "Local electricity market pricing mechanisms’ impact on welfare distribution, privacy and transparency," Applied Energy, Elsevier, vol. 341(C).
    2. 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).
    3. Jens Hönen & Johann L. Hurink & Bert Zwart, 2023. "A classification scheme for local energy trading," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 85-118, March.
    4. Qiu, Yueming Lucy & Wang, Yi David & Iseki, Hiroyuki & Shen, Xingchi & Xing, Bo & Zhang, Huiming, 2022. "Empirical grid impact of in-home electric vehicle charging differs from predictions," Resource and Energy Economics, Elsevier, vol. 67(C).
    5. Kristie Kaminski Küster & Daniel Gebbran & Alexandre Rasi Aoki & Germano Lambert-Torres & Daniel Navarro-Gevers & Patrício Rodolfo Impinisi & Cleverson Luiz da Silva Pinto, 2023. "Adoption of Local Peer-to-Peer Energy Markets: Technical and Economical Perspectives for Utilities," Energies, MDPI, vol. 16(5), pages 1-24, March.
    6. Chen, Ting & Vandendriessche, Frederik, 2023. "Evolution of the EU legal framework for promoting RES-E: A market compatible paradigm shift?," Utilities Policy, Elsevier, vol. 83(C).
    7. Foslie, Sverre Stefanussen & Knudsen, Brage Rugstad & Korpås, Magnus, 2023. "Integrated design and operational optimization of energy systems in dairies," Energy, Elsevier, vol. 281(C).
    8. Tim Schittekatte & Valerie Reif & Leonardo Meeus, 2021. "Welcoming New Entrants into European Electricity Markets," Energies, MDPI, vol. 14(13), pages 1-20, July.

    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. Hoarau, Quentin & Perez, Yannick, 2019. "Network tariff design with prosumers and electromobility: Who wins, who loses?," Energy Economics, Elsevier, vol. 83(C), pages 26-39.
    2. Freitas Gomes, Icaro Silvestre & Perez, Yannick & Suomalainen, Emilia, 2021. "Rate design with distributed energy resources and electric vehicles: A Californian case study," Energy Economics, Elsevier, vol. 102(C).
    3. Morell-Dameto, Nicolás & Chaves-Ávila, José Pablo & Gómez San Román, Tomás & Schittekatte, Tim, 2023. "Forward-looking dynamic network charges for real-world electricity systems: A Slovenian case study," Energy Economics, Elsevier, vol. 125(C).
    4. Avau, Michiel & Govaerts, Niels & Delarue, Erik, 2021. "Impact of distribution tariffs on prosumer demand response," Energy Policy, Elsevier, vol. 151(C).
    5. Backe, Stian & Zwickl-Bernhard, Sebastian & Schwabeneder, Daniel & Auer, Hans & Korpås, Magnus & Tomasgard, Asgeir, 2022. "Impact of energy communities on the European electricity and heating system decarbonization pathway: Comparing local and global flexibility responses," Applied Energy, Elsevier, vol. 323(C).
    6. Manuel de Villena, Miguel & Jacqmin, Julien & Fonteneau, Raphael & Gautier, Axel & Ernst, Damien, 2021. "Network tariffs and the integration of prosumers: The case of Wallonia," Energy Policy, Elsevier, vol. 150(C).
    7. Nicolás Morell Dameto & José Pablo Chaves-Ávila & Tomás Gómez San Román, 2020. "Revisiting Electricity Network Tariffs in a Context of Decarbonization, Digitalization, and Decentralization," Energies, MDPI, vol. 13(12), pages 1-21, June.
    8. Freitas Gomes, Icaro Silvestre & Perez, Yannick & Suomalainen, Emilia, 2020. "Coupling small batteries and PV generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    9. Govaerts, Niels & Bruninx, Kenneth & Le Cadre, Hélène & Meeus, Leonardo & Delarue, Erik, 2019. "Spillover effects of distribution grid tariffs in the internal electricity market: An argument for harmonization?," Energy Economics, Elsevier, vol. 84(C).
    10. Vaughan, Jim & Doumen, Sjoerd C. & Kok, Koen, 2023. "Empowering tomorrow, controlling today: A multi-criteria assessment of distribution grid tariff designs," Applied Energy, Elsevier, vol. 341(C).
    11. Hendam, Mohamed & Schittekatte, Tim & Abdel-Rahman, Mohamed & Kamh, Mohamed Zakaria, 2022. "Rethinking electricity rate design: Fostering the energy transition in North Africa," Energy Policy, Elsevier, vol. 169(C).
    12. Spiller, Elisheba & Esparza, Ricardo & Mohlin, Kristina & Tapia-Ahumada, Karen & Ünel, Burçin, 2023. "The role of electricity tariff design in distributed energy resource deployment," Energy Economics, Elsevier, vol. 120(C).
    13. Cherrelle Eid & Rudi Hakvoort & Martin de Jong, 2016. "Global trends in the political economy of smart grids: A tailored perspective on 'smart' for grids in transition," WIDER Working Paper Series 022, World Institute for Development Economic Research (UNU-WIDER).
    14. Abdullah M. Alabdullatif & Enrico H. Gerding & Alvaro Perez-Diaz, 2020. "Market Design and Trading Strategies for Community Energy Markets with Storage and Renewable Supply," Energies, MDPI, vol. 13(4), pages 1-31, February.
    15. Stawska, Anna & Romero, Natalia & de Weerdt, Mathijs & Verzijlbergh, Remco, 2021. "Demand response: For congestion management or for grid balancing?," Energy Policy, Elsevier, vol. 148(PA).
    16. Küfeoğlu, Sinan & Pollitt, Michael G., 2019. "The impact of PVs and EVs on domestic electricity network charges: A case study from Great Britain," Energy Policy, Elsevier, vol. 127(C), pages 412-424.
    17. Cherrelle Eid & Rudi Hakvoort & Martin de Jong, 2016. "Global trends in the political economy of smart grids: A tailored perspective on 'smart' for grids in transition," WIDER Working Paper Series wp-2016-22, World Institute for Development Economic Research (UNU-WIDER).
    18. Foslie, Sverre Stefanussen & Knudsen, Brage Rugstad & Korpås, Magnus, 2023. "Integrated design and operational optimization of energy systems in dairies," Energy, Elsevier, vol. 281(C).
    19. Jin, Xiaolong & Wu, Qiuwei & Jia, Hongjie, 2020. "Local flexibility markets: Literature review on concepts, models and clearing methods," Applied Energy, Elsevier, vol. 261(C).
    20. Gržanić, M. & Capuder, T. & Zhang, N. & Huang, W., 2022. "Prosumers as active market participants: A systematic review of evolution of opportunities, models and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).

    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:eneeco:v:94:y:2021:i:c:s0140988320304059. 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/locate/eneco .

    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.