• DocumentCode
    3660819
  • Title

    Time-Varying ABC Algorithm for Optimal Dispatch of Wind-Thermal System

  • Author

    Rani Gupta;Manjaree Pandit;Hari Mohan Dubey

  • Author_Institution
    Dept. of Electr. Eng., Madhav Inst. of Technol. &
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    1254
  • Lastpage
    1259
  • Abstract
    This paper proposes a modified artificial bee colony algorithm (MABC) for economic load dispatch (ELD) problem in the transmission system. Traditional economic dispatch focuses mainly on the minimization of the total operation cost of the power system. With the appearance of environmental pollution and energy crisis becoming a public issue, environmental effects of generator should be taken into consideration throughout the dispatch process. In this study economic dispatch problem which considers the integration of wind power is solved whose objective includes the minimization of generation cost. A modified chaotic artificial bee colony algorithm (MCABC) is proposed for finding optimal generation dispatch for minimum cost. The artificial bee colony algorithm (ABC) is selected for solving the problem due to its superiority over other recent evolutionary optimization techniques. The ABC is unique in its implementation of exploration and exploitation phases during the search of optimal solution. Search stagnation is also avoided in ABC by using a controlled scout bee phase. ABC also has least number of control parameters. A chaotic mutation is introduced in the MABC to simulate the chaotic behavior of bees in nature while searching for nectar. The transmission losses used in solution of problem have been calculated by B-loss matrix. The developed model is tested on an IEEE 30-bus system, with wind power generation embedded.
  • Keywords
    "Chaos","Generators","Optimization","Fuels","Wind power generation","Mathematical model","Economics"
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/CSNT.2015.58
  • Filename
    7280120