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Vector-Norm Based Truncation of Harmonic Transfer Functions in Black-Box Electronic Power Systems
Energinet, Elnetanalyse, DK-7000 Fredericia, Denmark..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-1835-2963
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems. Aalborg Univ, AAU Energy, DK-9220 Aalborg, Denmark..ORCID iD: 0000-0002-6327-9729
2022 (English)In: IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, ISSN 2644-1284, Vol. 3, p. 163-173Article in journal (Refereed) Published
Abstract [en]

Power systems equipped with power electronic converters can be modeled by harmonic transfer functions (HTFs) in a black-box manner for dynamic analysis. This paper studies the truncation of HTFs. It is proposed to define the gain function of an HTF as the norm of its central-column vector. Then, the error bound of the gain function in relation to the truncation order is explicitly derived, which can be used as an indicator for the HTF truncation. Compared with existing solutions, the proposed method is practical in truncating black-box systems with unknown internal parameters, since the truncation error bound can be estimated by the central-column elements of the HTF, which can be easily measured through frequency scan. The truncation approach is finally verified on a three-phase electronic power system by electromagnetic transient simulations.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 3, p. 163-173
Keywords [en]
Harmonic analysis, Power system harmonics, Power system dynamics, Finite wordlength effects, Frequency-domain analysis, Industrial electronics, Transfer functions, Time-periodic system, harmonic transfer function, truncation, frequency scan, black-box system
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-310228DOI: 10.1109/OJIES.2022.3147486ISI: 000764858500001Scopus ID: 2-s2.0-85124175966OAI: oai:DiVA.org:kth-310228DiVA, id: diva2:1647313
Note

QC 20220325

Available from: 2022-03-25 Created: 2022-03-25 Last updated: 2022-06-25Bibliographically approved

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Sandberg, HenrikWang, Xiongfei

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • asciidoc
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