Forecast-based anticipatory frequency control in power systems

David Ganger, Junshan Zhang, Vijay Vittal

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


The imbalance of load and generation can be significant when large amounts of renewable generation are being integrated in power systems. If not dealt effectively, this uncertainty can result in excessive deviations of frequency and tie-line flows. A model predictive control method, termed anticipatory frequency control, is used with predicted disturbances (e.g., from solar or wind generation) within the conventional automatic generation control (AGC) framework to minimize system frequency and tie-line deviations. The controller is shown to reduce the frequency and tie-line deviations over time in a multiarea test power system when compared with conventional control methods. In addition, the impact of imperfect forecasts and controller objective function weighting on the performance of anticipatory control is carefully examined.

Original languageEnglish (US)
Pages (from-to)1004-1012
Number of pages9
JournalIEEE Transactions on Power Systems
Issue number1
StatePublished - Jan 2018


  • Anticipatory control
  • Automatic generation control
  • Forecasting
  • Load frequency control
  • Model predictive control
  • Renewable energy
  • Renewable forecasts
  • Secondary control.

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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