• DocumentCode
    1023799
  • Title

    Improvements to a standard automatic generation control filter algorithm

  • Author

    Prowse, D.C.H.

  • Author_Institution
    Manitoba Hydro, Winnipeg, Man., Canada
  • Volume
    8
  • Issue
    3
  • fYear
    1993
  • fDate
    8/1/1993 12:00:00 AM
  • Firstpage
    1204
  • Lastpage
    1210
  • Abstract
    Tuning a standard digital implementation of a filter for automatic generation control (AGC) involves a compromise between achieving insensitivity to small random load fluctuations and ensuring a prompt, stable response to a power system disturbance. A personal computer-based AGC simulation program and nonlinear optimization logic were used to develop an area control error filter algorithm that reduces the amount of control action and improves control performance. Implementation on the Manitoba Hydro 4500 MW system indicated a substantial (about 80%) reduction in control pulses compared to the standard AGC filter design provided with the AGC/supervisory control and data acquisition (SCADA) system. Significant improvement has been observed both during periods of regulation for Manitoba Hydro alone and during periods of Joint AGC operation in which Manitoba Hydro also provides AGC regulation services for three neighboring utilities
  • Keywords
    SCADA systems; digital filters; digital simulation; electric power generation; microcomputer applications; power system computer control; Manitoba Hydro 4500 MW system; SCADA; automatic generation control filter algorithm; digital implementation; nonlinear optimization logic; personal computer-based; power system disturbance; supervisory control and data acquisition; Automatic generation control; Computational modeling; Computer simulation; Digital filters; Fluctuations; Power system control; Power system simulation; Power systems; Pulse power systems; SCADA systems;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.260876
  • Filename
    260876