• DocumentCode
    1589418
  • Title

    Risk-based optimal power flow and system operation state

  • Author

    Li, Yuan ; McCalley, James D.

  • Author_Institution
    CAISO, Folsom, CA, USA
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, the risk-based optimal power flow is proposed, which minimizes the economic cost considering the system reliability, and a refined system operation state is provided to clarify this approach. In order to obtain better economic benefit than traditional security-constrained optimal power flow, the corrective optimal power flow is used in this work. The reliability is represented by the risk index, which captures the expected impact to the system. This problem is solved by Benders decomposition. The specific designed Benders subproblem will assure that no collapse or cascading overload occurs for the corrective optimal power flow problem. The approach auto-steers the dispatch between different risk level according to the probability and consequence of the upcoming contingency events. Case studies with a six-bus system are presented.
  • Keywords
    power system economics; power system reliability; stochastic programming; Benders decomposition; economic cost; risk-based optimal power flow; stochastic programming; system operation state; Control systems; Cost function; Load flow; Power generation; Power generation economics; Power system economics; Power system reliability; Security; Stochastic processes; Voltage; Benders decomposition; optimal power flow; risk; stochastic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275724
  • Filename
    5275724