• DocumentCode
    3574300
  • Title

    Hybrid chemical reaction based optimization to solve combined heat and power economic dispatch problem

  • Author

    Vats, P. ; Vatsh, A. ; Kumar, S. ; Kumar, B. ; Roy, P.K.

  • Author_Institution
    Electr. Eng. Dept., Dr. B.C. Roy Eng. Coll., Durgapur, India
  • fYear
    2014
  • Firstpage
    769
  • Lastpage
    774
  • Abstract
    In this paper, hybrid chemical reaction based optimization (HCRO) is implemented to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is a challenging non-convex and non-linear optimization problem. The effect of valve-point in cost function considered with adding an absolute sinusoidal term to conventional polynomial cost function. The proposed method is applied to a test case with different characteristics and the test results are compared with those obtained from time varying acceleration coefficients particle swarm optimization (TVAC-PSO) and classic particle swarm optimization (CPSO). The obtained results demonstrate the superiority of the proposed method in solving non-convex and constrained CHPED problem.
  • Keywords
    chemical reactions; cogeneration; concave programming; particle swarm optimisation; polynomials; power generation economics; time-varying networks; CHPED problem; CPSO; HCRO; TVAC-PSO; absolute sinusoidal term; cogeneration; combined heat and power economic dispatch problem; hybrid chemical reaction based optimization; nonconvex optimization problem; nonlinear optimization problem; polynomial cost function; test case result; time varying acceleration coefficients particle swarm optimization; valve-point effect; Chemicals; Cogeneration; Optimization; Production; Resistance heating; Vectors; Cogeneration; chemical reaction based optimization; combined heat and power economic dispatch; differential evolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2395-3
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2014.7054850
  • Filename
    7054850