A Robust Augmented Nodal Analysis Approach to Distribution Network Solution. / Nduka, Onyema; Yu, Yue; Pal, Bikash; Okafor, Ephraim.

In: IEEE Transactions on Smart Grid, Vol. 11, No. 3, 2, 18.10.2019, p. 2140-2150.

Research output: Contribution to journalArticlepeer-review

Published

Standard

A Robust Augmented Nodal Analysis Approach to Distribution Network Solution. / Nduka, Onyema; Yu, Yue; Pal, Bikash; Okafor, Ephraim.

In: IEEE Transactions on Smart Grid, Vol. 11, No. 3, 2, 18.10.2019, p. 2140-2150.

Research output: Contribution to journalArticlepeer-review

Harvard

Nduka, O, Yu, Y, Pal, B & Okafor, E 2019, 'A Robust Augmented Nodal Analysis Approach to Distribution Network Solution', IEEE Transactions on Smart Grid, vol. 11, no. 3, 2, pp. 2140-2150. https://doi.org/10.1109/TSG.2019.2948282

APA

Nduka, O., Yu, Y., Pal, B., & Okafor, E. (2019). A Robust Augmented Nodal Analysis Approach to Distribution Network Solution. IEEE Transactions on Smart Grid, 11(3), 2140-2150. [2]. https://doi.org/10.1109/TSG.2019.2948282

Vancouver

Nduka O, Yu Y, Pal B, Okafor E. A Robust Augmented Nodal Analysis Approach to Distribution Network Solution. IEEE Transactions on Smart Grid. 2019 Oct 18;11(3):2140-2150. 2. https://doi.org/10.1109/TSG.2019.2948282

Author

Nduka, Onyema ; Yu, Yue ; Pal, Bikash ; Okafor, Ephraim. / A Robust Augmented Nodal Analysis Approach to Distribution Network Solution. In: IEEE Transactions on Smart Grid. 2019 ; Vol. 11, No. 3. pp. 2140-2150.

BibTeX

@article{e09854641d0c4ab4b1f7c80d238706d0,
title = "A Robust Augmented Nodal Analysis Approach to Distribution Network Solution",
abstract = "The ambition to decarbonize the source of energy for heat and transport sector through electricity from renewable energy has led to significant challenge in the way power distribution networks (DNs) are planned, designed and operated. Traditionally, DN was put in place to support the demand passively. Now with renewable generation, storage and demand side management through automation, provision of network support services have transformed the character of the DNs. Active management of the DN requires fast power flow analysis, state estimation, reactive power support etc. This paper proposes a method of power flow analysis which incorporates the challenges of distributed generator (DG) characteristics, demand side management and voltage support. The proposed approach reformulated the Jacobian matrix of the well-known modified augmented nodal analysis (MANA) method; thus, improving the robustness and solvability of the formulation. Reactive powers of the DGs, node voltages and currents of `non-constitutive' elements were the chosen state variables. The performance of this method is compared with the MANA. Results are discussed and the effectiveness of the proposed approach is demonstrated with two example case studies.",
author = "Onyema Nduka and Yue Yu and Bikash Pal and Ephraim Okafor",
year = "2019",
month = oct,
day = "18",
doi = "10.1109/TSG.2019.2948282",
language = "English",
volume = "11",
pages = "2140--2150",
journal = "IEEE Transactions on Smart Grid",
issn = "1949-3053",
publisher = "IEEE Press",
number = "3",

}

RIS

TY - JOUR

T1 - A Robust Augmented Nodal Analysis Approach to Distribution Network Solution

AU - Nduka, Onyema

AU - Yu, Yue

AU - Pal, Bikash

AU - Okafor, Ephraim

PY - 2019/10/18

Y1 - 2019/10/18

N2 - The ambition to decarbonize the source of energy for heat and transport sector through electricity from renewable energy has led to significant challenge in the way power distribution networks (DNs) are planned, designed and operated. Traditionally, DN was put in place to support the demand passively. Now with renewable generation, storage and demand side management through automation, provision of network support services have transformed the character of the DNs. Active management of the DN requires fast power flow analysis, state estimation, reactive power support etc. This paper proposes a method of power flow analysis which incorporates the challenges of distributed generator (DG) characteristics, demand side management and voltage support. The proposed approach reformulated the Jacobian matrix of the well-known modified augmented nodal analysis (MANA) method; thus, improving the robustness and solvability of the formulation. Reactive powers of the DGs, node voltages and currents of `non-constitutive' elements were the chosen state variables. The performance of this method is compared with the MANA. Results are discussed and the effectiveness of the proposed approach is demonstrated with two example case studies.

AB - The ambition to decarbonize the source of energy for heat and transport sector through electricity from renewable energy has led to significant challenge in the way power distribution networks (DNs) are planned, designed and operated. Traditionally, DN was put in place to support the demand passively. Now with renewable generation, storage and demand side management through automation, provision of network support services have transformed the character of the DNs. Active management of the DN requires fast power flow analysis, state estimation, reactive power support etc. This paper proposes a method of power flow analysis which incorporates the challenges of distributed generator (DG) characteristics, demand side management and voltage support. The proposed approach reformulated the Jacobian matrix of the well-known modified augmented nodal analysis (MANA) method; thus, improving the robustness and solvability of the formulation. Reactive powers of the DGs, node voltages and currents of `non-constitutive' elements were the chosen state variables. The performance of this method is compared with the MANA. Results are discussed and the effectiveness of the proposed approach is demonstrated with two example case studies.

U2 - 10.1109/TSG.2019.2948282

DO - 10.1109/TSG.2019.2948282

M3 - Article

VL - 11

SP - 2140

EP - 2150

JO - IEEE Transactions on Smart Grid

JF - IEEE Transactions on Smart Grid

SN - 1949-3053

IS - 3

M1 - 2

ER -