Frequency-Domain Nonlinear Modeling Approaches for Power Systems Components—A Comparison

Marco Faifer, Christian Laurano, Roberto Ottoboni, Sergio Toscani and Michele Zanoni
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Marco Faifer: DEIB (Dipartimento di Elettronica, Informazione e Bioingegneria), Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy
Christian Laurano: DEIB (Dipartimento di Elettronica, Informazione e Bioingegneria), Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy
Roberto Ottoboni: DEIB (Dipartimento di Elettronica, Informazione e Bioingegneria), Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy
Sergio Toscani: DEIB (Dipartimento di Elettronica, Informazione e Bioingegneria), Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy
Michele Zanoni: Ricerca sul Sistema Energetico S.p.A., via Rubattino 54, 20134 Milano, Italy

Energies, 2020, vol. 13, issue 10, 1-14

Abstract: Harmonic simulations play a key role in studying and predicting the impact of nonlinear devices on the power quality level of distribution grids. A frequency-domain approach allows higher computational efficiency, which has key importance as long as complex networks have to be studied. However, this requires proper frequency-domain behavioral models able to represent the nonlinear voltage–current relationship characterizing these devices. The Frequency Transfer Matrix (FTM) method is one of the most widespread frequency domain modeling approaches for power system applications. However, others suitable techniques have been developed in the last years, in particular the X-parameters approach, which comes from radiofrequency and microwave applications, and the simplified Volterra models under quasi-sinusoidal conditions, that have been specifically tailored for power system devices. In this paper FTM, X-parameters and simplified Volterra approaches are compared in representing the nonlinear voltage –current relationship of a bridge rectifier feeding an ohmic-capacitive dc load. Results show that the X-parameters model reaches good accuracy, which is slightly better than that achieved by the FTM and simplified Volterra models, but with a considerably larger set of coefficients. Simplified Volterra models under quasi-sinusoidal conditions allows an effective trade-off between accuracy and complexity.

Keywords: nonlinearity; modelling; power systems; harmonic analysis; harmonic balance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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