Enhancing Network Parameter Error Detection and Correction via Multiple Measurement Scans

Yuzhang Lin, Abur Ali

Research output: Contribution to journalArticlepeer-review


Although the normalized Lagrange multiplier (NLM) method has been shown to be very effective for network parameter error identification, errors in parameters corresponding to insensitive NLMs still remain difficult to detect and correct. This paper proposes an enhanced method for detecting and correcting network parameter errors based on multiple measurement scans. The method is developed by first deriving the relationship between parameter errors and the associated Langrage multipliers in state estimation. This is then used to clarify the reason behind the sensitivity issue of NLMs and the improvements made by performing multiple scans. An approach for estimating the necessary number of scans for satisfying various detection requirements is also proposed. Moreover, a local parameter error correction procedure based on multiple scans is presented, with detailed discussion of the local network selection and the number of required measurement scans. Simulation results in a very large utility system in North America illustrate the effectiveness of the analysis and methods proposed in this paper.

Original languageEnglish (US)
Pages (from-to)2417-2425
Number of pages9
JournalIEEE Transactions on Power Systems
Issue number3
StatePublished - May 2017


  • Lagrange multiplier
  • multiple measurement scans
  • parameter error
  • state estimation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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