• DocumentCode
    1176438
  • Title

    Power System Reliability Evaluation Using Stochastic Load Flows

  • Author

    Meliopoulos, A.P. ; Bakirtzis, A.G. ; Kovacs, R.

  • Author_Institution
    School of Electrical Engineering Georgia Institute of Technology
  • Issue
    5
  • fYear
    1984
  • fDate
    5/1/1984 12:00:00 AM
  • Firstpage
    1084
  • Lastpage
    1091
  • Abstract
    This paper presents a simulation procedure for bulk power system reliability evaluation. The operation of the system under forced or scheduled outages of circuits and/or units is simulated via a stochastic load flow. An efficient stochastic load flow methodology is presented, which computes circuit loading and bus voltage probability distributions from a given load probability distribution. The output of the stochastic load flow is utilized to compute the conditional probability of system failure according to predefined criteria. Circuit overloads and bus undervoltages/overvoltages are utilized as system failure criteria. The frequency and duration method is employed to compute bulk power system reliability indices. Upper and lower bounds on the reliability indices are computed, which converge to the true values of the indices as the number of contingencies simulated increases. The paper presents simulation results with two systems: (a) a small 9-bus system to demonstrate data requirements, and (b) the 500 kV/230 kV system of Georgia Power Company to demonstrate the applicability of the method to actual systems.
  • Keywords
    Circuit simulation; Computational modeling; Distributed computing; Load flow; Power system reliability; Power system simulation; Probability distribution; Processor scheduling; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Power Apparatus and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9510
  • Type

    jour

  • DOI
    10.1109/TPAS.1984.318715
  • Filename
    4112632