IDEAS home Printed from https://ideas.repec.org/a/igg/jsir00/v6y2015i2p87-101.html
   My bibliography  Save this article

Binary Fireworks Algorithm Based Thermal Unit Commitment

Author

Listed:
  • Lokesh Kumar Panwar

    (MNIT, Jaipur, India)

  • Srikanth Reddy K

    (MNIT, Jaipur, India)

  • Rajesh Kumar

    (MNIT, Jaipur, India)

Abstract

This paper presents the first application of fireworks algorithm to solve thermal unit commitment and scheduling problem. The scheduling problem accompanied by many constraints i.e., equality constraints like load balance and inequality constraints like system reserve and bounds like power generation, up/down time and ramp rate limits, finally shapes into a complex optimization problem. In this work, the scheduling and commitment problem is solved using binary fireworks algorithm (BFWA), which mimics explosion of fireworks in the sky to define search space and distance between associated sparks to evaluate global minimum. Further, the effectiveness of fireworks pertaining to problem dimension, wide range of generation units from 10 to 100 are considered and evaluated. In addition, simulations results are compared to the existing optimization techniques in literature used for unit commitment and scheduling problem and it is observed that, BFWA is superior to some of the profound existing algorithms in achieving near optimal scheduling.

Suggested Citation

  • Lokesh Kumar Panwar & Srikanth Reddy K & Rajesh Kumar, 2015. "Binary Fireworks Algorithm Based Thermal Unit Commitment," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 6(2), pages 87-101, April.
    • Handle: RePEc:igg:jsir00:v:6:y:2015:i:2:p:87-101
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSIR.2015040104
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ali, E.S. & Elazim, S.M. Abd & Balobaid, A.S., 2023. "Implementation of coyote optimization algorithm for solving unit commitment problem in power systems," Energy, Elsevier, vol. 263(PA).
    2. Ashutosh Bhadoria & Sanjay Marwaha, 2024. "An optimum generation scheduling of electrical power system considering the effect of renewable energy sources by using a hybrid metaheuristic search algorithm," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1301-1382, September.

    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:igg:jsir00:v:6:y:2015:i:2:p:87-101. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.