• DocumentCode
    120920
  • Title

    Self-adaptive differential harmony search algorithm to solve dynamic economic dispatch problem with emission and security constraints

  • Author

    Arul, R. ; Velusami, S. ; Ravi, G.

  • Author_Institution
    Dept. of Electr. Eng., Annamalai Univ., Annamalainagar, India
  • fYear
    2014
  • fDate
    7-9 Jan. 2014
  • Firstpage
    32
  • Lastpage
    37
  • Abstract
    In this paper, a new algorithm called Self-Adaptive Differential Harmony Search (SADHS) algorithm is proposed to solve the dynamic economic and emission dispatch (DEED) problem with security constraints. The searching ability of the proposed algorithm is improved by introducing a self-adaptive method to change the value of mutation constant during run of the algorithm. To show the effectiveness of the proposed algorithm, it is tested on IEEE-30 bus test system with valve point effects, ramp rate limits, prohibited operating zones, and security constraints. The result obtained by the proposed SADHS algorithm is compared with differential harmony search (DHS) algorithm. The result obtained by the proposed algorithm is found to be better than DHS algorithm in terms of solution quality, convergence speed and computational time.
  • Keywords
    power generation economics; power system security; search problems; thermal power stations; DEED problem; IEEE-30 bus test system; SADHS algorithm; computational time; convergence speed; dynamic economic problem; emission dispatch problem; ramp rate limits; security constraints; self-adaptive differential harmony search algorithm; valve point effects; Economics; Fuels; Heuristic algorithms; Search problems; Security; Valves; Vectors; differential harmony search algorithm; dynamic economic and emission dispatch; self-adaptive differential harmony search algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Energy Systems (ICEES), 2014 IEEE 2nd International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3738-7
  • Type

    conf

  • DOI
    10.1109/ICEES.2014.6924137
  • Filename
    6924137