Time-domain harmonic state estimation of nonlinear load power systems with under-determined condition based on the extended Kalman filter

Rafael Cisneros-Magaña, Aurelio Medina, Olimpo Anaya-Lara

Research output: Contribution to journalArticle

4 Citations (Scopus)
60 Downloads (Pure)

Abstract

This contribution presents a time-domain methodology for harmonic state estimation of power systems with nonlinear loads based on the extended Kalman filter (EKF). The output variables measurements to be used in the state estimation algorithm are selected from the simulation of the propagated harmonics in the system with an under-determined condition of the measurement matrix. The state estimation results are compared against the actual time-domain system response; both results closely agree hence verifying the effectiveness of the EKF to solve the time-domain power system state estimation. Several sampling frequencies and measurement noise are applied to assess the effects on the state estimation process, the error covariance matrix, residuals and on the execution time
Original languageEnglish
Article numbere2242
JournalInternational Transactions on Electrical Energy Systems
Early online date15 Jul 2016
DOIs
Publication statusPublished - 1 Feb 2017

Keywords

  • extended Kalman filter
  • harmonics
  • noise
  • nonlinear network
  • sampling frequency
  • state estimation

Fingerprint Dive into the research topics of 'Time-domain harmonic state estimation of nonlinear load power systems with under-determined condition based on the extended Kalman filter'. Together they form a unique fingerprint.

  • Cite this