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• [P1068] A Normative Self-Organizing Migrating Algorithm for Power Economic Dispatch of Thermal Generators with Valve-Point Effects and Multiple Fuels
  Author(s): Leandro dos Santos Coelho, Rodrigo Clemente Thom de Souza, and Viviana Cocco Mariani
  
  

  Abstract
  A new class of meta-heuristics called SOMA (Self-Organizing Migrating Algorithm) was proposed in recent literature. SOMA works on a population of potential solutions called specimen and it is based on the self-organizing behavior of groups of individuals in a "social environment". This paper proposes a modified SOMA approach to solving the economic load dispatch problem of thermal generators with the valve-point effect. To show the performance of the proposed modified SOMA algorithm based on normative knowledge fundamentals, which was applied to test a power economic problem comprised 10 generating units with valve-point effects and multiple fuels for a load demand of 2400 MW. Simulation results show that the classical and modified SOMA algorithms are efficient and have good convergence property when compared with results of other optimization methods reported in recent literature.

  
   

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