Bivariate stochastic model of current harmonic analysis in the low voltage distribution grid
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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2021
Major/Subject
Mcode
Degree programme
Language
en
Pages
17
190-206
190-206
Series
Proceedings of the Estonian Academy of Sciences, Volume 70, issue 2
Abstract
This paper presents a bottom-up bivariate analysis approach to estimate current harmonics by taking account of network and load variations. The current harmonics assessment in the presence of existing and future nonlinear loads is vital to study their impact on the distribution grid. The traditional harmonic analysis models consider only stable loads while neglecting the harmonic interaction among the devices. Modern nonlinear loads operate under different working modes and configurations. Thermal stability, harmonic cancellation, and dynamic network parameters influence the current harmonic estimations. In this paper, a probabilistic approach is presented to model harmonic emission in the low voltage distribution grid under network and load uncertainties. A case study is used to demonstrate effectiveness of the proposed model.Description
Funding Information: This work was supported by the Estonian Research Council grant PSG 142. The publication costs of this article were covered by the Estonian Academy of Sciences. Publisher Copyright: © 2021 Authors.
Keywords
Current harmonics, Load modelling, Network uncertainties, Probabilistic assessment
Other note
Citation
Iqbal, M N, Kütt, L, Daniel, K, Jarkovoi, M, Asad, B & Shabbir, N 2021, ' Bivariate stochastic model of current harmonic analysis in the low voltage distribution grid ', Proceedings of the Estonian Academy of Sciences, vol. 70, no. 2, pp. 190-206 . https://doi.org/10.3176/proc.2021.2.08
