Improving network parameter error detection via multiple measurement scans

Yuzhang Lin, Ali Abur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It was previously shown that normalized Lagrange multipliers in state estimation could be effectively used for network parameter error detection and identification. However, it was also observed that there could exist a number of 'insensitive' normalized Lagrange multipliers corresponding to certain parameters which might lead to detection failure. This paper derives the relationship between Lagrange multipliers and parameter errors and explains the reasons behind detection failures. Furthermore, it facilitates the identification of insensitive normalized Lagrange multipliers. These results are then used to clarify the significance of incorporating multiple measurement scans as a way of avoiding detection failure and to derive a new approach for estimating the necessary number of scans to guarantee parameter error detection. Simulation results using the IEEE 14-bus system are presented to verify the proposed solution.

Original languageEnglish (US)
Title of host publication2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509051670
DOIs
StatePublished - Dec 9 2016
Event2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 - Minneapolis, United States
Duration: Sep 6 2016Sep 9 2016

Publication series

Name2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016

Conference

Conference2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
Country/TerritoryUnited States
CityMinneapolis
Period9/6/169/9/16

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Improving network parameter error detection via multiple measurement scans'. Together they form a unique fingerprint.

Cite this