Tensor-Based Harmonic Analysis of Distribution Systems

Muhammad Ramzan, Ali Othman and Neville R. Watson ()
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Muhammad Ramzan: Transpower New Zealand Ltd., 22 Boulcott Street, Wellington P.O. Box 1021, New Zealand
Ali Othman: Electrical & Computer Engineering Department, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
Neville R. Watson: Electrical & Computer Engineering Department, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand

Energies, 2022, vol. 15, issue 20, 1-14

Abstract: Over the past few decades, there have been rapid advances in solid-state technology as well as a reduction in cost. This, coupled with the functionality and efficiency improvements they afford, has resulted in a massive increase in the use of electronic devices. Where traditionally, there were a few well-known nonlinear loads that needed to be considered, now there are numerous low-power devices. Although individually insignificant, collectively, they are very significant. This paper presents a tensor-based harmonic analysis approach that is capable of capturing important interactions while being computationally efficient enough to model a large distribution system. Numerical experiments are used to highlight the advantages of the tensor framework. Numerous papers have investigated the tensor parametrisation or its mathematical equivalent—harmonically coupled admittance matrices (also known as frequency coupling matrices). However, this paper, for the first time, demonstrates how these models can be applied to perform harmonic modelling of a complete low voltage (LV) distribution system.

Keywords: tensors; harmonic analysis; nonlinear devices; frequency domain (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: 2022
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