• DocumentCode
    2245314
  • Title

    Solution of optimal power flow subject to security constraints by an ANT Colony Optimization

  • Author

    Joshi, S.K. ; Ghanchi, V.H.

  • Author_Institution
    Dept. of Electr. Eng., Maharaja Sayajirao Univ. of Baroda, Vadodara, India
  • fYear
    2013
  • fDate
    18-19 Oct. 2013
  • Firstpage
    590
  • Lastpage
    597
  • Abstract
    This paper presents an efficient Ant colony Optimization technique for solving non-convex optimal power flow problems with considering transmission security. The ANT Colony Optimization is a metaheuristic approach for solving hard combinatorial optimization problems. The objective of OPF is defined that not only to minimize total generation cost but also to enhance transmission security, to reduce transmission loss, to improve the bus voltage profile under normal as well as contingent states. Moreover, the valve-point loading effect on thermal units has been taken into consideration. The effectiveness of the proposed method is demonstrated for IEEE-30 Bus including valve-point loading effect. The proposed approach result has been compared to those which reported in the literature.
  • Keywords
    ant colony optimisation; combinatorial mathematics; concave programming; load flow; power generation economics; power system security; thermal power stations; IEEE-30 bus system; OPF; ant colony optimization technique; bus voltage profile; contingent states; hard combinatorial optimization problems; metaheuristic approach; nonconvex optimal power flow problems; optimal power flow; security constraints; thermal units; total generation cost minimization; transmission loss reduction; transmission security enhancement; valve-point loading effect; Ant Colony Optimization; IEEE Systems; Optimal power flow; meta-heuristic; optimization; power systems;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Computational Intelligence and Information Technology, 2013. CIIT 2013. Third International Conference on
  • Conference_Location
    Mumbai
  • Type

    conf

  • DOI
    10.1049/cp.2013.2651
  • Filename
    6950935