Time-Domain Modeling of a Distribution System to Predict Harmonic Interaction Between PV Converters

G. Todeschini, S. Balasubramaniam, P. Igic

Research output: Contribution to journalArticle

1 Citation (Scopus)
12 Downloads (Pure)

Abstract

Due to the interaction converter control, pre-existing distortion and grid impedance, the harmonic levels caused by renewable energy sources are continuously changing, and their assessment requires the use of dedicated computer models. Several time-domain models have been proposed to carry out this analysis, however, they fall short of at least one requirement: Either they do not provide accurate results, or they require an excessively long simulation time. This paper presents a novel time-domain model to address the gap described above: The proposed model employs average functions and a novel switching emulator. Therefore, it is referred to as 'average model with switching emulator' (AMSE). The proposed model is compared with existing models, and the results indicate that the AMSE meet both requirements stated above, as it accurately represents harmonic distortion while reducing significantly the simulation time. The second part of the paper discusses mitigating solutions to harmonic amplification in systems with a high penetration of VSCs, and shows the effectiveness of using an active filter to reduce harmonic levels in system experiencing resonance conditions.

Original languageEnglish
Article number8649726
Pages (from-to)1450-1458
Number of pages9
JournalIEEE Transactions on Sustainable Energy
Volume10
Issue number3
DOIs
Publication statusPublished - 22 Feb 2019

Bibliographical note

Open Access. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/

Keywords

  • Active filter
  • average model (AM)
  • detailed model (DM)
  • harmonic analysis
  • photovoltaic (PV) energy
  • renewable energy source (RES)
  • resonance
  • voltage source converter (VSC)

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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