• DocumentCode
    1507836
  • Title

    Analysis of load frequency control performance assessment criteria

  • Author

    Gross, George ; Lee, Jeong Woo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    16
  • Issue
    3
  • fYear
    2001
  • fDate
    8/1/2001 12:00:00 AM
  • Firstpage
    520
  • Lastpage
    525
  • Abstract
    This paper presents the development and application of an analytic framework for the formulation and evaluation of control performance criteria in load frequency control (LFC). The framework is constructed so as to explicitly represent the uncertainty in the measured variables in LFC and to use metrics that are meaningful for the structure of the problem. The framework makes effective use of probability and random processes concepts to develop rather general criteria for LFC performance assessment. In fact, the NERC criteria CPS1 and CPS2 are special cases of the criteria of the framework. The paper thus provides an analytic rationale for the NERC control performance criteria. Analysis of the CPS1 and CPS2 criteria shows that, under conditions that are typically in effect in North American interconnections, the two criteria are redundant. Consequently, there is good analytical basis for not requiring the application of CPS2 once CPS1 is satisfied. Numerical results with four interconnections are given to illustrate the analytic results. The framework is a powerful construct that may be used to construct new criteria for LFC performance assessment
  • Keywords
    frequency control; load regulation; power system control; probability; random processes; NERC criteria CPS1; NERC criteria CPS2; North American interconnections; automatic generation control; load frequency control; performance assessment criteria; probability; random processes; uncertainty; Automatic generation control; Error correction; Frequency control; Frequency measurement; Measurement uncertainty; Monitoring; Performance analysis; Power generation; Power systems; Random processes;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.932290
  • Filename
    932290