Grid Impedance Estimation for DC/AC Converter Applications Using Moving Horizon Estimation on Cloud-Computing

  • Jesus D. Vasquez-Plaza
  • , Omar F. Rodriguez-Martinez
  • , Carlos J. Delgado
  • , Daniel D. Campo-Ossa
  • , Adriana C. Luna
  • , Fabio Andrade

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

5 Scopus citations

Abstract

In this paper, an estimation approach using Moving Horizon Estimator (MHE) is proposed to estimate online the grid impedance between DC/AC converters and the main grid. The proposed approach estimates the states, i.e., DC/AC converter output current, grid voltage, and grid impedance parameters using only voltage and current measurements at the connection point. The MHE is computed online from the Amazon Web Services, which receives the measurements via UDP protocol. Experimental results show that the proposed approach using MHE closely estimates the grid impedance parameters.

Original languageEnglish
Title of host publication2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages380-384
Number of pages5
ISBN (Electronic)9798350336962
DOIs
StatePublished - 2023
Event2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 - San Juan, United States
Duration: Nov 6 2023Nov 9 2023

Publication series

Name2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023

Conference

Conference2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
Country/TerritoryUnited States
CitySan Juan
Period11/6/2311/9/23

Funding

This work was supported in part by the U.S. Department of Energy under Grant DE-SC0020281 and by the Thematic Network 723RT0150 “Red para la integración a gran escala de energías renovables en sistemas eléctricos (RIBIERSE-CYTED)” financed by the call for Thematic Networks of the CYTED (Ibero-American Program of Science and Technology for Development) for 2022. This research was supported in part by an appointment to the Department of Defense (DOD) Research Participation Program administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and the DOD. ORISE is managed by ORAU under DOE contract number DE-SC0014664. All opinions expressed in this paper are the author’s and do not necessarily reflect the policies and views of DOD, DOE, or ORAU/ORISE

Keywords

  • cloud-computing
  • DC/AC Converters
  • Grid impedance estimation
  • moving horizon estimation
  • online estimation

Fingerprint

Dive into the research topics of 'Grid Impedance Estimation for DC/AC Converter Applications Using Moving Horizon Estimation on Cloud-Computing'. Together they form a unique fingerprint.

Cite this