Real-time identification method for LCL filters used with grid converters

Ville Pirsto, Jarno Kukkola, F M Mahafugur Rahman, Marko Hinkkanen

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

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Abstract

This paper presents a real-time algorithm for identifying the inductance and capacitance values of LCL filters used with grid converters. As a side product, the grid inductance seen from the point of common coupling is also estimated. A wideband excitation signal is added to the converter voltage reference. During the excitation, the converter currents and the converter voltage reference are sampled. The samples are preprocessed in real time by removing DC biases and significant grid-frequency harmonics. Parameters of a discrete-time model are estimated at each sampling instant with a recursive estimation algorithm. The model parameter estimates are translated into inductance and capacitance values. The method can be embedded to a control system of PWM-based converters in a plug-in manner. Only the DC-link voltage and converter currents need to be measured. Simulation and experimental results are presented for a 12.5-kVA grid converter system to evaluate the proposed method.
Original languageEnglish
Title of host publicationProceedings of the 11th IEEE Energy Conversion Congress and Exposition, ECCE 2019
PublisherIEEE
Pages3729-3736
Number of pages8
ISBN (Electronic)978-1-7281-0395-2
DOIs
Publication statusPublished - 29 Sept 2019
MoE publication typeA4 Conference publication
EventIEEE Energy Conversion Congress and Exposition - Baltimore, United States
Duration: 29 Sept 20193 Oct 2019
Conference number: 11

Publication series

NameIEEE Energy Conversion Congress and Exposition
PublisherIEEE
ISSN (Print)2329-3721
ISSN (Electronic)2329-3748

Conference

ConferenceIEEE Energy Conversion Congress and Exposition
Abbreviated titleECCE
Country/TerritoryUnited States
CityBaltimore
Period29/09/201903/10/2019

Keywords

  • Grid converter
  • LCL
  • Real-time identification
  • Recursive parameter estimation

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