IDEAS home Printed from https://ideas.repec.org/a/ids/ijetpo/v5y2007i4p440-456.html
   My bibliography  Save this article

Fast solution technique for unit commitment by particle swarm optimisation and genetic algorithm

Author

Listed:
  • Y.M. Chen
  • Wen-Shiang Wang

Abstract

In solving the Unit Commitment (UC) problem, two types of decision variables need to be determined: the start/shut down status and the output of power generation. Efficiently calculating the optimal commitment (on/off) and Economic Dispatch (ED) generations of the units at a sequence of times in the scheduling period is known as a challenge issue. In this paper, the proposed integrated PSO/GA approach of UC using Genetic Algorithm (GA) consists of repeating the process of ED employing modified Particle Swarm Optimisation (PSO) and minimising the total objective function for combinatorial units over all scheduled periods. The performance of the integrated PSO/GA approach is compared with results of other algorithms in the literature used to solve the UC problem. The comparison shows that the integrated PSO/GA approach is efficient in terms of computational time while providing good solutions.

Suggested Citation

  • Y.M. Chen & Wen-Shiang Wang, 2007. "Fast solution technique for unit commitment by particle swarm optimisation and genetic algorithm," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 5(4), pages 440-456.
    • Handle: RePEc:ids:ijetpo:v:5:y:2007:i:4:p:440-456
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=14886
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijetpo:v:5:y:2007:i:4:p:440-456. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=12 .

    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.