Data-driven robust extended computer-aided harmonic power flow analysis. / Nduka, Onyema; Ahmadi, Ali.

In: IET Generation, Transmission and Distribution, Vol. 14, No. 20, 16.07.2020, p. 4398-4409.

Research output: Contribution to journalArticlepeer-review

E-pub ahead of print

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Data-driven robust extended computer-aided harmonic power flow analysis. / Nduka, Onyema; Ahmadi, Ali.

In: IET Generation, Transmission and Distribution, Vol. 14, No. 20, 16.07.2020, p. 4398-4409.

Research output: Contribution to journalArticlepeer-review

Harvard

Nduka, O & Ahmadi, A 2020, 'Data-driven robust extended computer-aided harmonic power flow analysis', IET Generation, Transmission and Distribution, vol. 14, no. 20, pp. 4398-4409. https://doi.org/10.1049/iet-gtd.2020.0922

APA

Nduka, O., & Ahmadi, A. (2020). Data-driven robust extended computer-aided harmonic power flow analysis. IET Generation, Transmission and Distribution, 14(20), 4398-4409. https://doi.org/10.1049/iet-gtd.2020.0922

Vancouver

Nduka O, Ahmadi A. Data-driven robust extended computer-aided harmonic power flow analysis. IET Generation, Transmission and Distribution. 2020 Jul 16;14(20):4398-4409. https://doi.org/10.1049/iet-gtd.2020.0922

Author

Nduka, Onyema ; Ahmadi, Ali. / Data-driven robust extended computer-aided harmonic power flow analysis. In: IET Generation, Transmission and Distribution. 2020 ; Vol. 14, No. 20. pp. 4398-4409.

BibTeX

@article{b087a7d81b084172b51da1b111bd5162,
title = "Data-driven robust extended computer-aided harmonic power flow analysis",
abstract = "The surge in the uptake of harmonic producing loads in 21st century smart distribution networks has necessitated that robust data-driven approaches for harmonic assessment be developed. Moreover, there exists abundant harmonic data which can be leveraged on for the construction of this harmonic assessment tool. This is the objective of this paper. Large volumes of time-stamped data acquired from a practical distribution network in Edmonton, Canada, have been used to construct a time-dependent cross-coupled harmonic model that has been combined with a formulated iterative time-dependent robust extended computer-aided harmonic power flows. The constructed harmonic power flow formulation also considers the constraints relating to the power conservation principle at the fundamental frequency. Practical network conditions including untransposed lines, load unbalance and skin effects of conductors have been thoroughly modelled. The proposed method has been applied to practical radial and weakly-meshed medium voltage distribution networks and it demonstrated robustness to initialisation of the iterative procedure. Moreover, findings from this detailed data-driven technique reveal that harmonic impacts in the distribution networks depend on the quantum of harmonic levels, type of network and location of the harmonic sources.",
author = "Onyema Nduka and Ali Ahmadi",
year = "2020",
month = jul,
day = "16",
doi = "10.1049/iet-gtd.2020.0922",
language = "English",
volume = "14",
pages = "4398--4409",
journal = "IET Generation, Transmission and Distribution",
issn = "1751-8695",
publisher = "Institution of Engineering and Technology",
number = "20",

}

RIS

TY - JOUR

T1 - Data-driven robust extended computer-aided harmonic power flow analysis

AU - Nduka, Onyema

AU - Ahmadi, Ali

PY - 2020/7/16

Y1 - 2020/7/16

N2 - The surge in the uptake of harmonic producing loads in 21st century smart distribution networks has necessitated that robust data-driven approaches for harmonic assessment be developed. Moreover, there exists abundant harmonic data which can be leveraged on for the construction of this harmonic assessment tool. This is the objective of this paper. Large volumes of time-stamped data acquired from a practical distribution network in Edmonton, Canada, have been used to construct a time-dependent cross-coupled harmonic model that has been combined with a formulated iterative time-dependent robust extended computer-aided harmonic power flows. The constructed harmonic power flow formulation also considers the constraints relating to the power conservation principle at the fundamental frequency. Practical network conditions including untransposed lines, load unbalance and skin effects of conductors have been thoroughly modelled. The proposed method has been applied to practical radial and weakly-meshed medium voltage distribution networks and it demonstrated robustness to initialisation of the iterative procedure. Moreover, findings from this detailed data-driven technique reveal that harmonic impacts in the distribution networks depend on the quantum of harmonic levels, type of network and location of the harmonic sources.

AB - The surge in the uptake of harmonic producing loads in 21st century smart distribution networks has necessitated that robust data-driven approaches for harmonic assessment be developed. Moreover, there exists abundant harmonic data which can be leveraged on for the construction of this harmonic assessment tool. This is the objective of this paper. Large volumes of time-stamped data acquired from a practical distribution network in Edmonton, Canada, have been used to construct a time-dependent cross-coupled harmonic model that has been combined with a formulated iterative time-dependent robust extended computer-aided harmonic power flows. The constructed harmonic power flow formulation also considers the constraints relating to the power conservation principle at the fundamental frequency. Practical network conditions including untransposed lines, load unbalance and skin effects of conductors have been thoroughly modelled. The proposed method has been applied to practical radial and weakly-meshed medium voltage distribution networks and it demonstrated robustness to initialisation of the iterative procedure. Moreover, findings from this detailed data-driven technique reveal that harmonic impacts in the distribution networks depend on the quantum of harmonic levels, type of network and location of the harmonic sources.

U2 - 10.1049/iet-gtd.2020.0922

DO - 10.1049/iet-gtd.2020.0922

M3 - Article

VL - 14

SP - 4398

EP - 4409

JO - IET Generation, Transmission and Distribution

JF - IET Generation, Transmission and Distribution

SN - 1751-8695

IS - 20

ER -