• DocumentCode
    1827042
  • Title

    Using EASY5 to investigate filtering of power system area control error

  • Author

    Grantham, William C. ; King, Roger L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
  • fYear
    1994
  • fDate
    20-22 Mar 1994
  • Firstpage
    406
  • Lastpage
    410
  • Abstract
    The area control error (ACE) is an indication of the mismatch between generation and load demand of a power system. This signal is an integral part of the automatic generation control (AGC) system which seeks to match area generation and load on a moment to moment basis. High frequency load variations and noise in the ACE signal can cause unnecessary and unwanted control action to occur. This paper demonstrates the use of the EASY5 engineering analysis system in modeling a power system and its AGC cycle. The model is subjected to a ramp load change with nonfiltering to establish a baseline control effort. Then, a random high frequency component is added in combination with various filters to explore the effectiveness of the filters. The resulting responses are compared to illustrate the need for appropriate filtering techniques
  • Keywords
    filtering and prediction theory; power system analysis computing; power system computer control; EASY5 engineering analysis system; automatic generation control; baseline control; filtering; high frequency load variations; load demand; power system area control error; ramp load change; random high frequency component; Automatic control; Automatic generation control; Control systems; Error correction; Filtering; Frequency; Power filters; Power system control; Power system modeling; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
  • Conference_Location
    Athens, OH
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-5320-5
  • Type

    conf

  • DOI
    10.1109/SSST.1994.287843
  • Filename
    287843