Abstract

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
Volume33
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

Controllers
Model predictive control
Uncertainty

Keywords

  • 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

Cite this

Forecast-based anticipatory frequency control in power systems. / Ganger, David; Zhang, Junshan; Vittal, Vijay.

In: IEEE Transactions on Power Systems, Vol. 33, No. 1, 01.01.2018, p. 1004-1012.

Research output: Contribution to journalArticle

@article{73b50c884c294de096436072fee24e3f,
title = "Forecast-based anticipatory frequency control in power systems",
abstract = "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.",
keywords = "Anticipatory control, Automatic generation control, Forecasting, Load frequency control, Model predictive control, Renewable energy, Renewable forecasts, Secondary control.",
author = "David Ganger and Junshan Zhang and Vijay Vittal",
year = "2018",
month = "1",
day = "1",
doi = "10.1109/TPWRS.2017.2705761",
language = "English (US)",
volume = "33",
pages = "1004--1012",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Forecast-based anticipatory frequency control in power systems

AU - Ganger, David

AU - Zhang, Junshan

AU - Vittal, Vijay

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - Anticipatory control

KW - Automatic generation control

KW - Forecasting

KW - Load frequency control

KW - Model predictive control

KW - Renewable energy

KW - Renewable forecasts

KW - Secondary control.

UR - http://www.scopus.com/inward/record.url?scp=85047188361&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85047188361&partnerID=8YFLogxK

U2 - 10.1109/TPWRS.2017.2705761

DO - 10.1109/TPWRS.2017.2705761

M3 - Article

VL - 33

SP - 1004

EP - 1012

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

IS - 1

ER -