IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/395973.html
   My bibliography  Save this article

Computational Framework for Optimal Carbon Taxes Based on Electric Supply Chain Considering Transmission Constraints and Losses

Author

Listed:
  • Yu-Chi Wu
  • Wen-Liang Huang
  • Yi-Fan Hsu
  • Sheng-Ching Wang
  • Jin-Yuan Lin
  • Meng-Jen Chen

Abstract

A modeling and computational framework is presented for the determination of optimal carbon taxes that apply to electric power plants in the context of electric power supply chain with consideration of transmission constraints and losses. In order to achieve this goal, a generalized electric power supply chain network equilibrium model is used. Under deregulation, there are several players in electrical market: generation companies, power suppliers, transmission service providers, and consumers. Each player in this model tries to maximize its own profit and competes with others in a noncooperative manner. The Nash equilibrium conditions of these players in this model form a finite-dimensional variational inequality problem (VIP). By solving this VIP via an extragradient method based on an interior point algorithm, the optimal carbon taxes of power plants can be determined. Numerical examples are provided to analyze the results of the presented modeling.

Suggested Citation

  • Yu-Chi Wu & Wen-Liang Huang & Yi-Fan Hsu & Sheng-Ching Wang & Jin-Yuan Lin & Meng-Jen Chen, 2015. "Computational Framework for Optimal Carbon Taxes Based on Electric Supply Chain Considering Transmission Constraints and Losses," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-15, September.
    • Handle: RePEc:hin:jnlmpe:395973
    DOI: 10.1155/2015/395973
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2015/395973.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2015/395973.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/395973?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
    ---><---

    More about this item

    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:hin:jnlmpe:395973. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.