• DocumentCode
    892431
  • Title

    Optimal operating strategy for distributed generation considering hourly reliability worth

  • Author

    Bae, In-Su ; Kim, Jin-O ; Kim, Jae-Chul ; Singh, C.

  • Author_Institution
    Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
  • Volume
    19
  • Issue
    1
  • fYear
    2004
  • Firstpage
    287
  • Lastpage
    292
  • Abstract
    This paper presents a method to determine optimal operating strategy for distributed generation (DG) incorporating reliability worth evaluation of a distribution system. The use of DG for peak shaving could reduce the overall system operating cost and its use as standby power could reduce the customer interruption cost. If the DG operating cost is less than the utility power cost at peak time, DG should be employed to reduce the overall system operating cost. However, when customer interruption cost is also an important concern, standby power strategy for DG may be better than peak shaving. The reliability worth and the power cost evaluations are needed to determine whether DG should be operated for peak shaving or as standby power. The hourly reliability worth is incorporated in the strategy proposed in this paper to determine the optimal operating decision for the DG. Using the approach proposed in this paper, the distribution companies could determine the optimal operating strategy for their DG.
  • Keywords
    Monte Carlo methods; cost reduction; distributed power generation; power distribution reliability; power generation reliability; time-varying systems; Monte Carlo simulation; customer interruption cost; distributed generation; distribution system state; electric power systems; hourly reliability worth evaluation; operating cost reduction; operating decision; peak shaving; reliability indices; standby power strategy; time varying weight factors; transition relationship; Cost function; Distributed control; Internal combustion engines; Power generation; Power system reliability; Power system simulation; Power systems; Standby generators; Wind energy generation; Wind turbines;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2003.818738
  • Filename
    1266580