IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v34y2009i10p1552-1559.html
   My bibliography  Save this article

Market clearing of joint energy and reserves auctions using augmented payment minimization

Author

Listed:
  • Amjady, N.
  • Aghaei, J.
  • Shayanfar, H.A.

Abstract

This paper presents the market clearing of joint energy and reserves auctions and its mathematical formulation, focusing on a possible implementation of the Payment Cost Minimization (PCM). It also discusses another key point in debate: whether market clearing algorithm should minimize offer costs or payment costs? An aggregated simultaneous market clearing approach is proposed for provision of ancillary services as well as energy, which is in the form of Mixed Integer Nonlinear Programming (MINLP) formulation. In the MINLP formulation of the market clearing process, the objective function (Payment cost or offer cost) are optimized while meeting AC power flow constraints, system reserve requirements and lost opportunity cost (LOC) considerations. The model is applied to the IEEE 24-bus Reliability Test System (IEEE 24-bus RTS), and simulation studies are carried out to examine the effectiveness of each objective function.

Suggested Citation

  • Amjady, N. & Aghaei, J. & Shayanfar, H.A., 2009. "Market clearing of joint energy and reserves auctions using augmented payment minimization," Energy, Elsevier, vol. 34(10), pages 1552-1559.
    • Handle: RePEc:eee:energy:v:34:y:2009:i:10:p:1552-1559
    DOI: 10.1016/j.energy.2009.06.048
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544209002709
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2009.06.048?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. Yan, Joseph H. & Stern, Gary A., 2002. "Simultaneous Optimal Auction and Unit Commitment for Deregulated Electricity Markets," The Electricity Journal, Elsevier, vol. 15(9), pages 72-80, November.
    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. Partovi, Farzad & Nikzad, Mehdi & Mozafari, Babak & Ranjbar, Ali Mohamad, 2011. "A stochastic security approach to energy and spinning reserve scheduling considering demand response program," Energy, Elsevier, vol. 36(5), pages 3130-3137.
    2. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    3. Shayesteh, E. & Yousefi, A. & Parsa Moghaddam, M., 2010. "A probabilistic risk-based approach for spinning reserve provision using day-ahead demand response program," Energy, Elsevier, vol. 35(5), pages 1908-1915.
    4. Saez-Gallego, Javier & Morales, Juan M. & Madsen, Henrik & Jónsson, Tryggvi, 2014. "Determining reserve requirements in DK1 area of Nord Pool using a probabilistic approach," Energy, Elsevier, vol. 74(C), pages 682-693.
    5. Kim, M.K. & Park, J.K. & Nam, Y.W., 2011. "Market-clearing for pricing system security based on voltage stability criteria," Energy, Elsevier, vol. 36(2), pages 1255-1264.
    6. Motalleb, Mahdi & Thornton, Matsu & Reihani, Ehsan & Ghorbani, Reza, 2016. "A nascent market for contingency reserve services using demand response," Applied Energy, Elsevier, vol. 179(C), pages 985-995.
    7. Fernández-Blanco, Ricardo & Arroyo, José M. & Alguacil, Natalia, 2014. "Consumer payment minimization under uniform pricing: A mixed-integer linear programming approach," Applied Energy, Elsevier, vol. 114(C), pages 676-686.

    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. Rimvydas Baltaduonis, 2007. "Simple-Offer vs. Complex-Offer Auctions in Deregulated Electricity Markets," Working papers 2007-14, University of Connecticut, Department of Economics.
    2. Rimvydas Baltaduonis, 2006. "Efficiency in Deregulated Electricity Markets: Offer Cost Minimization vs. Payment Cost Minimization Auction," Working papers 2006-04, University of Connecticut, Department of Economics.
    3. Fernández-Blanco, Ricardo & Arroyo, José M. & Alguacil, Natalia, 2014. "Consumer payment minimization under uniform pricing: A mixed-integer linear programming approach," Applied Energy, Elsevier, vol. 114(C), pages 676-686.
    4. Nicholas Shunda, 2005. "Strategic Behavior in Day-Ahead and Real-Time Markets for Electricity: Offer Cost or Payment Cost Minimization?," Working papers 2005-48, University of Connecticut, Department of Economics.

    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:34:y:2009:i:10:p:1552-1559. 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.