IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i12p12370-13360d59378.html
   My bibliography  Save this article

Bi-Level Optimization for Available Transfer Capability Evaluation in Deregulated Electricity Market

Author

Listed:
  • Beibei Wang

    (School of Electrical Engineering, Southeast University, Nanjing, Jiangsu 210018, China)

  • Xin Fang

    (Department of Electrical Engineering and Computer Science, the University of Tennessee, Knoxville, TN 37996, USA)

  • Xiayang Zhao

    (State Grid International Development Corp., Xuanwumen Nei Street 108, Xicheng District, Beijing 100120, China)

  • Houhe Chen

    (Department of Electrical Engineering, Northeast Dianli University, Jilin 132012, Jilin, China)

Abstract

Available transfer capability (ATC) is the transfer capability remaining in the physical transmission network for further commercial activity over and above already committed uses which needs to be posted in the electricity market to facilitate competition. ATC evaluation is a complicated task including the determination of total transfer capability (TTC) and existing transfer capability (ETC). In the deregulated electricity market, ETC is decided by the independent system operator’s (ISO’s) economic dispatch (ED). TTC can then be obtained by a continuation power flow (CPF) method or by an optimal power flow (OPF) method, based on the given ED solutions as well as the ETC. In this paper, a bi-level optimization framework for the ATC evaluation is proposed in which ATC results can be obtained simultaneously with the ED and ETC results in the deregulated electricity market. In this bi-level optimization model, ATC evaluation is formulated as the upper level problem and the ISO’s ED is the lower level problem. The bi-level model is first converted to a mathematic program with equilibrium constraints (MPEC) by recasting the lower level problem as its Karush-Kuhn-Tucher (KKT) optimality condition. Then, the MPEC is transformed into a mixed-integer linear programming (MILP) problem, which can be solved with the help of available optimization software. In addition, case studies on PJM 5-bus, IEEE 30-bus, and IEEE 118-bus systems are presented to demonstrate the proposed methodology.

Suggested Citation

  • Beibei Wang & Xin Fang & Xiayang Zhao & Houhe Chen, 2015. "Bi-Level Optimization for Available Transfer Capability Evaluation in Deregulated Electricity Market," Energies, MDPI, vol. 8(12), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:12:p:12370-13360:d:59378
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/12/12370/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/12/12370/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yanan Zheng & Jin Yang & Zhaoguang Hu & Ming Zhou & Gengyin Li, 2015. "Credibility Theory-Based Available Transfer Capability Assessment," Energies, MDPI, vol. 8(6), pages 1-20, June.
    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. Nur Mohammad & Yateendra Mishra, 2018. "The Role of Demand Response Aggregators and the Effect of GenCos Strategic Bidding on the Flexibility of Demand," Energies, MDPI, vol. 11(12), pages 1-22, November.
    2. Ikram Ullah & Wolfgang Gawlik & Peter Palensky, 2016. "Analysis of Power Network for Line Reactance Variation to Improve Total Transmission Capacity," Energies, MDPI, vol. 9(11), pages 1-20, November.
    3. Xin Fang & Venkat Krishnan & Bri-Mathias Hodge, 2018. "Strategic Offering for Wind Power Producers Considering Energy and Flexible Ramping Products," Energies, MDPI, vol. 11(5), pages 1-19, May.
    4. Acuña, Luceny Guzmán & Ríos, Diana Ramírez & Arboleda, Carlos Paternina & Ponzón, Esneyder González, 2018. "Cooperation model in the electricity energy market using bi-level optimization and Shapley value," Operations Research Perspectives, Elsevier, vol. 5(C), pages 161-168.

    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. Paul Stewart & Chris Bingham, 2016. "Electrical Power and Energy Systems for Transportation Applications," Energies, MDPI, vol. 9(7), pages 1-3, July.

    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:gam:jeners:v:8:y:2015:i:12:p:12370-13360:d:59378. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.