• DocumentCode
    138919
  • Title

    Economic load dispatch via an improved Bacterial Foraging Optimization

  • Author

    Zakaria, Z. ; Rahman, Titik Khawa Abdul ; Hassan, E.E.

  • Author_Institution
    Univ. Teknol. Mara, Shah Alam, Malaysia
  • fYear
    2014
  • fDate
    24-25 March 2014
  • Firstpage
    380
  • Lastpage
    385
  • Abstract
    An economic dispatch is one of the most important research areas in power system. This is because an optimal power dispatch will contribute to a sound power system load management. As a result, the solution can ease the cost of fuel without ignoring the power operation constraints and system losses. Adaptive Tumble Bacterial Foraging Optimization (ATBFO) and Adaptive Mutation Bacterial Foraging Optimization (AMBFO), which are originally from basic Bacterial Foraging Optimization (BFO), are considered as alternative algorithms to minimize fuel cost. Thus, the two techniques are compared under the same parameters to determine the best optimal result. After several analyses on the results obtained, it was found that ATBFO outperformed AMBFO. Both of these adaptive bacterial foraging optimization techniques are tested on 26 bus Reliability test system using MATLAB R2009b on MS Window 7.
  • Keywords
    load dispatching; load management; optimisation; power system economics; ATBFO; adaptive bacterial foraging optimization; adaptive mutation bacterial foraging optimization AMBFO; adaptive tumble bacterial foraging optimization; economic load dispatch; optimal power dispatch; power system load management; Cost function; Economics; Fuels; Linear programming; Microorganisms; Power systems; Adaptive Mutation Bacterial Foraging Optimization; Adaptive Tumble Bacterial Foraging Optimization; Bacterial Foraging Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4799-2421-9
  • Type

    conf

  • DOI
    10.1109/PEOCO.2014.6814458
  • Filename
    6814458