• DocumentCode
    1418044
  • Title

    Bus-based reliability indices and associated costs in the bulk power system

  • Author

    Rios, S.M. ; Vidal, V.P. ; Kiguel, David L.

  • Author_Institution
    Pontificia Univ. Catolica de Chile, Santiago, Chile
  • Volume
    13
  • Issue
    3
  • fYear
    1998
  • fDate
    8/1/1998 12:00:00 AM
  • Firstpage
    719
  • Lastpage
    724
  • Abstract
    This paper presents a methodology to evaluate the reliability and to calculate interruption costs at the load bus level in the bulk power system (Hierarchical Level II). The method is based on a nonsequential Monte Carlo simulation combined with a linear optimization model in which the load at every bus is represented by two components, a firm and a nonfirm (curtailable) portion. Expected values of not served energy (EENS), not served demand (EPNS) and loss of load probability (LOLP) are computed for the whole system (global indices) as well as for each load bus. The paper includes a sensitivity analysis taking into consideration variations of the indices due to factors such as interruption costs and load shedding policies. In a number of countries the evaluation of bus-based reliability indices has become a key component in the negotiation of supply contracts in the open access environment. The same indices are useful to assess the reliability of the supply at the delivery point to both distribution utilities and large industrial customers
  • Keywords
    Monte Carlo methods; economics; load shedding; power system reliability; probability; sensitivity analysis; bulk power system; bus-based reliability indices; distribution utilities; expected values not served demand; expected values of not served energy; global indices; interruption costs calculation; large industrial customers; linear optimization model; load bus; load shedding; loss of load probability; nonsequential Monte Carlo simulation; sensitivity analysis; Costs; Optimization methods; Power engineering computing; Power generation; Power supplies; Power system analysis computing; Power system economics; Power system modeling; Power system reliability; Power system simulation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.708571
  • Filename
    708571