LTS-Based Robust Hybrid SE Integrating Correlation

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

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


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
Issue number4
StatePublished - Jul 2017


  • 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


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