On the failure of power system automatic generation control due to measurement noise

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper discusses a class of measurement noise that has the potential to destabilize power systems with automatic generation control (AGC). AGC is responsible for maintaining nominal frequency and interchange power between balancing areas as scheduled. The results in this paper show that AGC is robust to measurement white noise. However, when the intensity of the measurement noise depends on the system state, the AGC system fails to meet its performance requirements. The measurement noise is modeled as a stochastic process, while the overall power system dynamic behavior is described by a stochastic differential equation (SDE) model. The impact of measurement noise is evaluated through a set of differential equations describing the evolution of the statistics of the system states, which are derived from the SDE model. Mitigation strategies to address this problem are also discussed.

Original languageEnglish (US)
Title of host publication2014 IEEE PES General Meeting / Conference and Exposition
PublisherIEEE Computer Society
EditionOctober
ISBN (Electronic)9781479964154
DOIs
StatePublished - Oct 29 2014
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

Publication series

NameIEEE Power and Energy Society General Meeting
NumberOctober
Volume2014-October
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2014 IEEE Power and Energy Society General Meeting
Country/TerritoryUnited States
CityNational Harbor
Period7/27/147/31/14

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'On the failure of power system automatic generation control due to measurement noise'. Together they form a unique fingerprint.

Cite this