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

Research output: Contribution to journalConference article

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)
Article number6939464
JournalIEEE Power and Energy Society General Meeting
Volume2014-October
Issue numberOctober
DOIs
StatePublished - Oct 29 2014
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

Fingerprint

Differential equations
Interchanges
White noise
Robust control
Random processes
Dynamical systems
Statistics
Control systems

ASJC Scopus subject areas

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

Cite this

On the failure of power system automatic generation control due to measurement noise. / Zhang, Jiangmeng; Dominguez-Garcia, Alejandro D.

In: IEEE Power and Energy Society General Meeting, Vol. 2014-October, No. October, 6939464, 29.10.2014.

Research output: Contribution to journalConference article

@article{2e32e1eca336408fbf7fdf7f207e34ab,
title = "On the failure of power system automatic generation control due to measurement noise",
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.",
author = "Jiangmeng Zhang and Dominguez-Garcia, {Alejandro D.}",
year = "2014",
month = "10",
day = "29",
doi = "10.1109/PESGM.2014.6939464",
language = "English (US)",
volume = "2014-October",
journal = "IEEE Power and Energy Society General Meeting",
issn = "1944-9925",
number = "October",

}

TY - JOUR

T1 - On the failure of power system automatic generation control due to measurement noise

AU - Zhang, Jiangmeng

AU - Dominguez-Garcia, Alejandro D.

PY - 2014/10/29

Y1 - 2014/10/29

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84930987026&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84930987026&partnerID=8YFLogxK

U2 - 10.1109/PESGM.2014.6939464

DO - 10.1109/PESGM.2014.6939464

M3 - Conference article

AN - SCOPUS:84930987026

VL - 2014-October

JO - IEEE Power and Energy Society General Meeting

JF - IEEE Power and Energy Society General Meeting

SN - 1944-9925

IS - October

M1 - 6939464

ER -