Dynamic-state-estimation scheme including nonlinear measurement-function considerations

S. J. Huang, K. R. Shih

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

An algorithm that includes nonlinear measurement-function considerations is proposed. To enhance the robustness of the method, the exponential weight function was embedded and the nonlinear measurement function was integrated with the state-estimation model. In this way, the method can be employed in different scenarios while the estimation performance can be maintained effectively. This approach has been tested on different power systems under various operating conditions, where normal operation, bad measurement, sudden load change and topology error are all investigated. The performance indices under different test cases were also evaluated. Test results support the feasibility of the proposed method for dynamic-state-estimation applications.

Original languageEnglish
Pages (from-to)673-678
Number of pages6
JournalIEE Proceedings: Generation, Transmission and Distribution
Volume149
Issue number6
DOIs
Publication statusPublished - 2002 Nov

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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