LTS-Based Robust Hybrid SE Integrating Correlation

Yacine Chakhchoukh, Vijay Vittal, Gerald T. Heydt, Hideaki Ishii

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The paper introduces a robust approach for hybrid power system static state estimation (SE) utilizing phasor measurement units (PMUs). The proposed PMU-based SE exploits the time and space correlation in the PMU measurements in order to provide rejection of bad measurements and improve the SE cyber security and accuracy. The SE robustness is introduced in two steps. The first step is to robustly fit multichannel or vector autoregressive models to adjacent PMUs. The second step replaces the classical weighted least squares algorithm with a robust regression estimator. The robustness is introduced by exploiting the least trimmed squares estimator. The effectiveness of the proposed robust PMU-based SE is assessed based on Monte Carlo simulations and compared with other existing robust SE methods. A theoretical analysis is provided to explain the improvement by higher PMU sampling rates and longer periods of SE.

Original languageEnglish (US)
Article number7762238
Pages (from-to)3127-3135
Number of pages9
JournalIEEE Transactions on Power Systems
Volume32
Issue number4
DOIs
StatePublished - Jul 1 2017

Fingerprint

Phasor measurement units
State estimation
Robustness (control systems)
Sampling

Keywords

  • Cyber-attacks
  • cyber-security
  • phasor measurement units
  • power state estimation
  • robust estimation
  • vector autoregressive models

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

LTS-Based Robust Hybrid SE Integrating Correlation. / Chakhchoukh, Yacine; Vittal, Vijay; Heydt, Gerald T.; Ishii, Hideaki.

In: IEEE Transactions on Power Systems, Vol. 32, No. 4, 7762238, 01.07.2017, p. 3127-3135.

Research output: Contribution to journalArticle

Chakhchoukh, Yacine ; Vittal, Vijay ; Heydt, Gerald T. ; Ishii, Hideaki. / LTS-Based Robust Hybrid SE Integrating Correlation. In: IEEE Transactions on Power Systems. 2017 ; Vol. 32, No. 4. pp. 3127-3135.
@article{cdaefb309b2646a38250dfe08d4eda1f,
title = "LTS-Based Robust Hybrid SE Integrating Correlation",
abstract = "The paper introduces a robust approach for hybrid power system static state estimation (SE) utilizing phasor measurement units (PMUs). The proposed PMU-based SE exploits the time and space correlation in the PMU measurements in order to provide rejection of bad measurements and improve the SE cyber security and accuracy. The SE robustness is introduced in two steps. The first step is to robustly fit multichannel or vector autoregressive models to adjacent PMUs. The second step replaces the classical weighted least squares algorithm with a robust regression estimator. The robustness is introduced by exploiting the least trimmed squares estimator. The effectiveness of the proposed robust PMU-based SE is assessed based on Monte Carlo simulations and compared with other existing robust SE methods. A theoretical analysis is provided to explain the improvement by higher PMU sampling rates and longer periods of SE.",
keywords = "Cyber-attacks, cyber-security, phasor measurement units, power state estimation, robust estimation, vector autoregressive models",
author = "Yacine Chakhchoukh and Vijay Vittal and Heydt, {Gerald T.} and Hideaki Ishii",
year = "2017",
month = "7",
day = "1",
doi = "10.1109/TPWRS.2016.2632723",
language = "English (US)",
volume = "32",
pages = "3127--3135",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

TY - JOUR

T1 - LTS-Based Robust Hybrid SE Integrating Correlation

AU - Chakhchoukh, Yacine

AU - Vittal, Vijay

AU - Heydt, Gerald T.

AU - Ishii, Hideaki

PY - 2017/7/1

Y1 - 2017/7/1

N2 - The paper introduces a robust approach for hybrid power system static state estimation (SE) utilizing phasor measurement units (PMUs). The proposed PMU-based SE exploits the time and space correlation in the PMU measurements in order to provide rejection of bad measurements and improve the SE cyber security and accuracy. The SE robustness is introduced in two steps. The first step is to robustly fit multichannel or vector autoregressive models to adjacent PMUs. The second step replaces the classical weighted least squares algorithm with a robust regression estimator. The robustness is introduced by exploiting the least trimmed squares estimator. The effectiveness of the proposed robust PMU-based SE is assessed based on Monte Carlo simulations and compared with other existing robust SE methods. A theoretical analysis is provided to explain the improvement by higher PMU sampling rates and longer periods of SE.

AB - The paper introduces a robust approach for hybrid power system static state estimation (SE) utilizing phasor measurement units (PMUs). The proposed PMU-based SE exploits the time and space correlation in the PMU measurements in order to provide rejection of bad measurements and improve the SE cyber security and accuracy. The SE robustness is introduced in two steps. The first step is to robustly fit multichannel or vector autoregressive models to adjacent PMUs. The second step replaces the classical weighted least squares algorithm with a robust regression estimator. The robustness is introduced by exploiting the least trimmed squares estimator. The effectiveness of the proposed robust PMU-based SE is assessed based on Monte Carlo simulations and compared with other existing robust SE methods. A theoretical analysis is provided to explain the improvement by higher PMU sampling rates and longer periods of SE.

KW - Cyber-attacks

KW - cyber-security

KW - phasor measurement units

KW - power state estimation

KW - robust estimation

KW - vector autoregressive models

UR - http://www.scopus.com/inward/record.url?scp=85021305242&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85021305242&partnerID=8YFLogxK

U2 - 10.1109/TPWRS.2016.2632723

DO - 10.1109/TPWRS.2016.2632723

M3 - Article

VL - 32

SP - 3127

EP - 3135

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

IS - 4

M1 - 7762238

ER -