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Grid Parameters and Voltage Estimation Approach Integrating Data-Driven Converter Model

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems. Grid parameters vary through time during the faults and especially in the converter interfaced resources (CIRs) rich power grid, and thus accurate estimation is critical to avoid the mis-operation of the P&C systems. In this paper, a moving horizon estimation (MHE) as an observer is devised and applied to estimate the grid line parameters and grid voltages for protection enhancement. Due to the proprietary and confidentiality of CIRs, the proposed approach uses the black-box model to represent their dynamics. Leveraging the easily accessible measurements of output current from the black-box model of CIR and voltage at the point of common coupling, the proposed method estimates the grid impedance and grid voltage during normal and faulty operating conditions. The performance shows that the optimization-based observer was able to closely observe the accurate states and parameters, which can be utilized by the P&C systems.

Original languageEnglish
Title of host publicationIECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9781665464543
DOIs
StatePublished - 2024
Event50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024 - Chicago, United States
Duration: Nov 3 2024Nov 6 2024

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024
Country/TerritoryUnited States
CityChicago
Period11/3/2411/6/24

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Electricity and Office of Energy Efficiency & Renewable Energy under Contract DEAC05-00OR22725.

Keywords

  • Black-box
  • moving horizon estimation
  • parameter estimation
  • protection enhancement
  • state

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