Multi-Level Optimal Power Flow Solver in Large Distribution Networks: Preprint

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

Multi-Level Optimal Power Flow Solver in Large Distribution Networks: Preprint

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

Power Systems Engineering

Research output: Contribution to conference › Paper

Abstract

Solving optimal power flow (OPF) problem for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution networks of tree topology with deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multi-level implementation of the primal-dual gradient algorithm for solving 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 verifies that the proposed algorithm can significantly improve computational speed without compromising any optimality.

Original language	American English
Number of pages	9
State	Published - 2020
Event	IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm) - Duration: 11 Nov 2020 → 13 Nov 2020

Conference

Conference	IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm)
Period	11/11/20 → 13/11/20

Bibliographical note

See NREL/CP-5D00-79161 for paper as published in proceedings

NREL Publication Number

NREL/CP-5D00-77786

Keywords

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

Access to Document

https://www.nrel.gov/docs/fy21osti/77786.pdf

Cite this

@conference{0b41110967bb423bab0b268cd2f5dd46,

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

abstract = "Solving optimal power flow (OPF) problem for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution networks of tree topology with deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multi-level implementation of the primal-dual gradient algorithm for solving 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 verifies that the proposed algorithm can significantly improve 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-5D00-79161 for paper as published in proceedings; IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm) ; Conference date: 11-11-2020 Through 13-11-2020",

year = "2020",

language = "American English",

}

TY - CONF

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

AU - Zhou, Xinyang

AU - Chen, Yue

AU - Liu, Zhiyuan

AU - Zhao, Changhong

AU - Chen, Lijun

N1 - See NREL/CP-5D00-79161 for paper as published in proceedings

PY - 2020

Y1 - 2020

N2 - Solving optimal power flow (OPF) problem for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution networks of tree topology with deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multi-level implementation of the primal-dual gradient algorithm for solving 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 verifies that the proposed algorithm can significantly improve computational speed without compromising any optimality.

AB - Solving optimal power flow (OPF) problem for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution networks of tree topology with deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multi-level implementation of the primal-dual gradient algorithm for solving 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 verifies that the proposed algorithm can significantly improve computational speed without compromising any optimality.

KW - distributed algorithms

KW - gradient methods

KW - large-scale systems

KW - privacy preservation

KW - voltage control

M3 - Paper

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

Y2 - 11 November 2020 through 13 November 2020

ER -

Multi-Level Optimal Power Flow Solver in Large Distribution Networks: Preprint

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

Access to Document

Fingerprint

Cite this