IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2302.12770.html
   My bibliography  Save this paper

Signalling for Electricity Demand Response: When is Truth Telling Optimal?

Author

Listed:
  • Rene Aid
  • Anupama Kowli
  • Ankur A. Kulkarni

Abstract

Utilities and transmission system operators (TSO) around the world implement demand response programs for reducing electricity consumption by sending information on the state of balance between supply demand to end-use consumers. We construct a Bayesian persuasion model to analyse such demand response programs. Using a simple model consisting of two time steps for contract signing and invoking, we analyse the relation between the pricing of electricity and the incentives of the TSO to garble information about the true state of the generation. We show that if the electricity is priced at its marginal cost of production, the TSO has no incentive to lie and always tells the truth. On the other hand, we provide conditions where overpricing of electricity leads the TSO to provide no information to the consumer.

Suggested Citation

  • Rene Aid & Anupama Kowli & Ankur A. Kulkarni, 2023. "Signalling for Electricity Demand Response: When is Truth Telling Optimal?," Papers 2302.12770, arXiv.org, revised Jul 2023.
  • Handle: RePEc:arx:papers:2302.12770
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2302.12770
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Claude Crampes & Thomas-Olivier Léautier, 2015. "Demand response in adjustment markets for electricity," Journal of Regulatory Economics, Springer, vol. 48(2), pages 169-193, October.
    2. René Aïd & Dylan Possamaï & Nizar Touzi, 2022. "Optimal Electricity Demand Response Contracting with Responsiveness Incentives," Post-Print hal-03670395, HAL.
    3. Crawford, Vincent P & Sobel, Joel, 1982. "Strategic Information Transmission," Econometrica, Econometric Society, vol. 50(6), pages 1431-1451, November.
    Full references (including those not matched with items on IDEAS)

    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. Péter Eso & Balázs Szentes, 2004. "The Price of Advice," Discussion Papers 1416, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    2. Persson, Petra, 2018. "Attention manipulation and information overload," Behavioural Public Policy, Cambridge University Press, vol. 2(1), pages 78-106, May.
    3. Falk, Armin & Abeler, Johannes & Kosse, Fabian, 2021. "Malleability of preferences for honesty," CEPR Discussion Papers 16164, C.E.P.R. Discussion Papers.
    4. Mechtenberg, Lydia & Münster, Johannes, 2012. "A strategic mediator who is biased in the same direction as the expert can improve information transmission," Economics Letters, Elsevier, vol. 117(2), pages 490-492.
    5. Thomas de Haan & Theo Offerman & Randolph Sloof, 2015. "Money Talks? An Experimental Investigation Of Cheap Talk And Burned Money," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1385-1426, November.
    6. Houser, Daniel & Yang, Yang, 2024. "Learning language: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 547-559.
    7. Tim Besley & Rohini Pande, 1998. "Read my lips: the political economy of information transmission," IFS Working Papers W98/13, Institute for Fiscal Studies.
    8. Feltenstein, Andrew & Lagunoff, Roger, 2005. "International versus domestic auditing of bank solvency," Journal of International Economics, Elsevier, vol. 67(1), pages 73-96, September.
    9. Eduardo Perez-Richet, 2014. "Interim Bayesian Persuasion: First Steps," American Economic Review, American Economic Association, vol. 104(5), pages 469-474, May.
    10. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    11. Matthias Dahm & Nicolás Porteiro, 2008. "Informational lobbying under the shadow of political pressure," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 30(4), pages 531-559, May.
    12. Pim Heijnen, 2013. "Informative advertising by an environmental group," Journal of Economics, Springer, vol. 108(3), pages 249-272, April.
    13. Ronelle Burger & Canh Thien Dang & Trudy Owens, 2017. "Better performing NGOs do report more accurately: Evidence from investigating Ugandan NGO financial accounts," Discussion Papers 2017-10, University of Nottingham, CREDIT.
    14. Jan Marc Berk & Beata Bierut, 2009. "Communication in a monetary policy committee: a note," DNB Working Papers 226, Netherlands Central Bank, Research Department.
    15. Nasimeh Heydaribeni & Achilleas Anastasopoulos, 2019. "Linear Equilibria for Dynamic LQG Games with Asymmetric Information and Dependent Types," Papers 1909.04834, arXiv.org.
    16. Aleksei Smirnov & Egor Starkov, 2019. "Timing of predictions in dynamic cheap talk: experts vs. quacks," ECON - Working Papers 334, Department of Economics - University of Zurich.
    17. Shuo Liu & Dimitri Migrow, 2019. "Designing organizations in volatile markets," ECON - Working Papers 319, Department of Economics - University of Zurich.
    18. Francisco Silva, 2016. "Should the Government Provide Public Goods if it Cannot Commit?," Documentos de Trabajo 477, Instituto de Economia. Pontificia Universidad Católica de Chile..
    19. Fleckinger, Pierre, 2008. "Bayesian improvement of the phantom voters rule: An example of dichotomic communication," Mathematical Social Sciences, Elsevier, vol. 55(1), pages 1-13, January.
    20. Gehrig, Thomas & Güth, Werner & Leví0nský, René & Popova, Vera, 2010. "On the evolution of professional consulting," Journal of Economic Behavior & Organization, Elsevier, vol. 76(1), pages 113-126, October.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:arx:papers:2302.12770. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.