IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/96687.html
   My bibliography  Save this paper

The 2017 Power Trading Agent Competition

Author

Listed:
  • Ketter, W.
  • Collins, J.
  • de Weerdt, M.M.

Abstract

This is the specification for the Power Trading Agent Competition for 2017 (Power TAC 2017). Power TAC is a competitive simulation that models a “liberalized” retail electrical energy market, where competing business entities or “brokers” offer energy services to customers through tariff contracts, and must then serve those customers by trading in a wholesale market. Brokers are challenged to maximize their profits by buying and selling energy in the wholesale and retail markets, subject to fixed costs and constraints; the winner of an individual “game” is the broker with the highest bank balance at the end of a simulation run. Costs include fees for publication and withdrawal of tariffs, and distribution fees for transporting energy to their contracted customers. Costs are also incurred whenever there is an imbalance between a broker’s total contracted energy supply and demand within a given time slot. The simulation environment models a wholesale market, a regulated distribution utility, and a population of energy customers, situated in a real location on Earth during a specific period for which weather data is available. The wholesale market is a relatively simple call market, similar to many existing wholesale electric power markets, such as Nord Pool in Scandinavia or FERC markets in North America, but unlike the FERC markets we are modeling a single region, and therefore we approximate locational-marginal pricing through a simple manipulation of the wholesale supply curve. Customer models include households, electric vehicles, and a variety of commercial and industrial entities, many of which have production capacity such as solar panels or wind turbines. All have “real-time” metering to support allocation of their hourly supply and demand to their subscribed brokers, and all are approximate utility maximizers with respect to tariff selection, although the factors making up their utility functions may include aversion to change and complexity that can retard uptake of marginally better tariff offers. The distribution utility models the regulated natural monopoly that owns the regional distribution network, and is responsible for maintenance of its infrastructure. Real-time balancing of supply and demand is managed by a market-based mechanism that uses economic incentives to encourage brokers to achieve balance within their portfolios of tariff subscribers and wholesale market positions, in the face of stochastic customer behaviors and weather-dependent renewable energy sources. Changes for 2017 are focused on a more realistic wholesale market, reducing the market power of brokers by making the simulation scenario into a relatively small part of a larger market, and are highlighted by change bars in the margins. See Section 5.3 for details.

Suggested Citation

  • Ketter, W. & Collins, J. & de Weerdt, M.M., 2017. "The 2017 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2017-002-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:96687
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/96687/ERS-2017-002-LIS.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul Joskow & Jean Tirole, 2006. "Retail electricity competition," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 799-815, December.
    2. Martin Bichler & Alok Gupta & Wolfgang Ketter, 2010. "Research Commentary ---Designing Smart Markets," Information Systems Research, INFORMS, vol. 21(4), pages 688-699, December.
    3. Ketter, Wolfgang & Collins, John & Reddy, Prashant, 2013. "Power TAC: A competitive economic simulation of the smart grid," Energy Economics, Elsevier, vol. 39(C), pages 262-270.
    4. Vandezande, Leen & Meeus, Leonardo & Belmans, Ronnie & Saguan, Marcelo & Glachant, Jean-Michel, 2010. "Well-functioning balancing markets: A prerequisite for wind power integration," Energy Policy, Elsevier, vol. 38(7), pages 3146-3154, July.
    5. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    6. Somani, Abhishek & Tesfatsion, Leigh, 2008. "An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures," ISU General Staff Papers 200801010800001392, Iowa State University, Department of Economics.
    7. Severin Borenstein & James B. Bushnell & Frank A. Wolak, 2002. "Measuring Market Inefficiencies in California's Restructured Wholesale Electricity Market," American Economic Review, American Economic Association, vol. 92(5), pages 1376-1405, December.
    8. Paul Joskow & Jean Tirole, 2006. "Retail electricity competition," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 799-815, December.
    9. Gottwalt, Sebastian & Ketter, Wolfgang & Block, Carsten & Collins, John & Weinhardt, Christof, 2011. "Demand side management—A simulation of household behavior under variable prices," Energy Policy, Elsevier, vol. 39(12), pages 8163-8174.
    10. Edward Clarke, 1971. "Multipart pricing of public goods," Public Choice, Springer, vol. 11(1), pages 17-33, September.
    11. Möller, Christoph & Rachev, Svetlozar T. & Fabozzi, Frank J., 2011. "Balancing energy strategies in electricity portfolio management," Energy Economics, Elsevier, vol. 33(1), pages 2-11, January.
    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. Susobhan Ghosh & Sujit Gujar & Praveen Paruchuri & Easwar Subramanian & Sanjay P. Bhat, 2019. "Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version)," Papers 1911.08260, arXiv.org, revised Nov 2019.

    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. Ketter, W. & Collins, J. & de Weerdt, M.M., 2017. "The 2018 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2017-016-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Ketter, W. & Collins, J. & de Weerdt, M.M., 2016. "The 2016 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2016-002-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Ketter, W. & Collins, J. & Reddy, P. & de Weerdt, M.M., 2014. "The 2014 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2014-004-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Ketter, W. & Collins, J. & Reddy, P. & de Weerdt, M.M., 2015. "The 2015 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2015-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Ketter, W. & Collins, J. & Reddy, P. & de Weerdt, M.M., 2013. "The 2013 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2013-006-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Ketter, W. & Collins, J. & Reddy, P. & de Weerdt, M.M., 2012. "The 2012 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2012-010-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Ketter, W. & Collins, J. & Reddy, P. & Flath, C. & de Weerdt, M.M., 2011. "The Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2011-027-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Ketter, Wolfgang & Collins, John & Reddy, Prashant, 2013. "Power TAC: A competitive economic simulation of the smart grid," Energy Economics, Elsevier, vol. 39(C), pages 262-270.
    9. Ketter, W. & Collins, J. & Reddy, P. & Flath, C., 2011. "The Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2011-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Severin Borenstein & James Bushnell, 2015. "The US Electricity Industry After 20 Years of Restructuring," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 437-463, August.
    11. Poletti, Steve, 2009. "Government procurement of peak capacity in the New Zealand electricity market," Energy Policy, Elsevier, vol. 37(9), pages 3409-3417, September.
    12. Xuejuan Su, 2015. "Have customers benefited from electricity retail competition?," Journal of Regulatory Economics, Springer, vol. 47(2), pages 146-182, April.
    13. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2021. "Market Design, Human Behavior, and Management," Management Science, INFORMS, vol. 67(9), pages 5317-5348, September.
    14. Paul Karaenke & Martin Bichler & Stefan Minner, 2019. "Coordination Is Hard: Electronic Auction Mechanisms for Increased Efficiency in Transportation Logistics," Management Science, INFORMS, vol. 65(12), pages 5884-5900, December.
    15. Lau, Stephanie, 2011. "Investment incentives in bilateral trading," Games and Economic Behavior, Elsevier, vol. 73(2), pages 538-552.
    16. Tafreshian, Amirmahdi & Masoud, Neda, 2022. "A truthful subsidy scheme for a peer-to-peer ridesharing market with incomplete information," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 130-161.
    17. Shrestha, Ratna K., 2017. "Menus of price-quantity contracts for inducing the truth in environmental regulation," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 1-7.
    18. Tommy Andersson & Lars Ehlers & Lars-Gunnar Svensson & Ryan Tierney, 2022. "Gale’s Fixed Tax for Exchanging Houses," Mathematics of Operations Research, INFORMS, vol. 47(4), pages 3110-3128, November.
    19. Mishra, Debasis & Parkes, David C., 2007. "Ascending price Vickrey auctions for general valuations," Journal of Economic Theory, Elsevier, vol. 132(1), pages 335-366, January.
    20. Christoph Engel & Luigi Mittone & Azzurra Morreale, 2024. "Outcomes or participation? Experimentally testing competing sources of legitimacy for taxation," Economic Inquiry, Western Economic Association International, vol. 62(2), pages 563-583, April.

    More about this item

    Keywords

    Autonomous Agents; Electronic Commerce; Energy; Preferences; Portfolio Management; Power; Policy Guidance; Sustainability; Trading Agent Competition;
    All these keywords.

    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:ems:eureri:96687. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    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.