Online predictive model fitting algorithm for supply inductance estimation

Bilal Arif, Luca Tarisciotti, Pericle Zanchetta, Patrick Wheeler, Marco Rivera

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

Abstract

This paper presents a finite control set Model Predictive Control (FS-MPC) approach for a grid-connected converter, particularly suitable for non-stiff grids where under low Short Circuit Ratio (SCR) the performance of the controller may get affected by variations in supply impedance value. In order to avoid this problem, a novel supply inductance estimator that is based on the grid currents variations between consecutive sampling instants fully integrated in the MPC algorithm, is proposed. The estimation is carried out in real-time and updates the predictive controller at every sampling instant, thus providing a quick adaptability to a change in supply inductance. Moreover, by knowing the estimated value of the supply impedance, the phase and amplitude difference between grid voltage and the voltage at the point of common coupling is compensated. The proposed approach has been verified through simulation and experiments on a 3-phase 2-level active front-end converter.

Original languageEnglish
Title of host publication2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1595-1602
Number of pages8
ISBN (Electronic)9781467371506
DOIs
Publication statusPublished - 27 Oct 2015
Event7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 - Montreal, Canada
Duration: 20 Sep 201524 Sep 2015

Publication series

Name2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015

Conference

Conference7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
Country/TerritoryCanada
CityMontreal
Period20/09/1524/09/15

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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