• DocumentCode
    1381073
  • Title

    Efficient Secure AC OPF for Network Generation Capacity Assessment

  • Author

    Dent, Chris J. ; Ochoa, Luis F. ; Harrison, Gareth P. ; Bialek, Janusz W.

  • Author_Institution
    Sch. of Eng. & Comput. Sci., Durham Univ., Durham, UK
  • Volume
    25
  • Issue
    1
  • fYear
    2010
  • Firstpage
    575
  • Lastpage
    583
  • Abstract
    This paper presents a novel method for determining the capacity of a network to accommodate new generation under network security constraints. The assessment is performed by maximizing the total generation capacity in an optimal power flow model; this is solved by gradually adding limited numbers of line outage contingencies, until a solution to the complete problem is obtained. The limit on the number of contingencies added is key to the method´s efficiency, as it reduces the size of the optimization problems encountered. Moreover, varying this limit on contingencies added provides a simple and highly efficient means of searching for multiple local optima of the nonlinear optimization problem. The method has been tested on a modified version of the highly meshed IEEE Reliability Test System with N-1 security, where a significant reduction in the system´s capacity for new generation is seen when security constraints are imposed. The method is generic and may be applied at any voltage level, for other security models and for other similarly structured problems such as the analysis of multiple resource availability scenarios.
  • Keywords
    load flow; optimisation; power generation planning; power generation reliability; power system security; IEEE reliability test system; multiple resource availability scenarios; network generation capacity assessment; network security constraints; nonlinear optimization problem; optimal power flow model; total generation capacity; Load flow analysis; optimization methods; power generation planning;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2009.2036809
  • Filename
    5378654