Multi-Level Optimal Power Flow Solver in Large Distribution Networks

Xinyang Zhou; Yue Chen; Zhiyuan Liu; Changhong Zhao; Lijun Chen

doi:10.1109/SmartGridComm47815.2020.9303000

Multi-Level Optimal Power Flow Solver in Large Distribution Networks

Xinyang Zhou, Yue Chen, Zhiyuan Liu, Changhong Zhao, Lijun Chen

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

2 Scopus Citations

Abstract

Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topology with a deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multilevel implementation of the primal-dual gradient algorithm to solve the voltage regulation OPF problems while preserving nodal voltage information and topological information within areas and subareas. Numerical results on a 4, 521-node system verify that the proposed algorithm can significantly improve the computational speed without compromising any optimality.

Original language	American English
Number of pages	6
DOIs	https://doi.org/10.1109/SmartGridComm47815.2020.9303000 https://doi.org/10.1109/SmartGridComm47815.2020.9303000
State	Published - 11 Nov 2020
Event	2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020 - Tempe, United States Duration: 11 Nov 2020 → 13 Nov 2020

Conference

Conference	2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020
Country/Territory	United States
City	Tempe
Period	11/11/20 → 13/11/20

Bibliographical note

See NREL/CP-5D00-77786 for preprint

NREL Publication Number

NREL/CP-5D00-79161

Keywords

distributed algorithms
gradient methods
large-scale systems
privacy preservation
voltage control

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Zhou, X., Chen, Y., Liu, Z., Zhao, C., & Chen, L. (2020). Multi-Level Optimal Power Flow Solver in Large Distribution Networks. Paper presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020, Tempe, United States. https://doi.org/10.1109/SmartGridComm47815.2020.9303000, https://doi.org/10.1109/SmartGridComm47815.2020.9303000

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title = "Multi-Level Optimal Power Flow Solver in Large Distribution Networks",

abstract = "Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topology with a deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multilevel implementation of the primal-dual gradient algorithm to solve the voltage regulation OPF problems while preserving nodal voltage information and topological information within areas and subareas. Numerical results on a 4, 521-node system verify that the proposed algorithm can significantly improve the computational speed without compromising any optimality.",

keywords = "distributed algorithms, gradient methods, large-scale systems, privacy preservation, voltage control",

author = "Xinyang Zhou and Yue Chen and Zhiyuan Liu and Changhong Zhao and Lijun Chen",

note = "See NREL/CP-5D00-77786 for preprint; 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020 ; Conference date: 11-11-2020 Through 13-11-2020",

year = "2020",

month = nov,

day = "11",

doi = "10.1109/SmartGridComm47815.2020.9303000",

language = "American English",

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Zhou, X , Chen, Y, Liu, Z, Zhao, C & Chen, L 2020, 'Multi-Level Optimal Power Flow Solver in Large Distribution Networks', Paper presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020, Tempe, United States, 11/11/20 - 13/11/20. https://doi.org/10.1109/SmartGridComm47815.2020.9303000, https://doi.org/10.1109/SmartGridComm47815.2020.9303000

TY - CONF

T1 - Multi-Level Optimal Power Flow Solver in Large Distribution Networks

AU - Zhou, Xinyang

AU - Chen, Yue

AU - Liu, Zhiyuan

AU - Zhao, Changhong

AU - Chen, Lijun

N1 - See NREL/CP-5D00-77786 for preprint

PY - 2020/11/11

Y1 - 2020/11/11

N2 - Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topology with a deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multilevel implementation of the primal-dual gradient algorithm to solve the voltage regulation OPF problems while preserving nodal voltage information and topological information within areas and subareas. Numerical results on a 4, 521-node system verify that the proposed algorithm can significantly improve the computational speed without compromising any optimality.

AB - Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topology with a deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multilevel implementation of the primal-dual gradient algorithm to solve the voltage regulation OPF problems while preserving nodal voltage information and topological information within areas and subareas. Numerical results on a 4, 521-node system verify that the proposed algorithm can significantly improve the computational speed without compromising any optimality.

KW - distributed algorithms

KW - gradient methods

KW - large-scale systems

KW - privacy preservation

KW - voltage control

UR - http://www.scopus.com/inward/record.url?scp=85099438059&partnerID=8YFLogxK

U2 - 10.1109/SmartGridComm47815.2020.9303000

DO - 10.1109/SmartGridComm47815.2020.9303000

M3 - Paper

AN - SCOPUS:85099438059

T2 - 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020

Y2 - 11 November 2020 through 13 November 2020

ER -

Multi-Level Optimal Power Flow Solver in Large Distribution Networks

Abstract

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Keywords

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