Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch

Phuong H. Hoang; Chris S. Edrington; Behnaz Papari; Gokhan Ozkan; Hyo Sung Ahn

doi:10.1109/PSC50246.2020.9131238

Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch

Phuong H. Hoang
, Chris S. Edrington
, Behnaz Papari
, Gokhan Ozkan
, Hyo Sung Ahn

Power Systems Resilience

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

This paper presents an algorithm for a distributed constrained optimization problem. The studied problem has a strictly convex objective function, affine constraints, and an undirected and connected communication topology. The algorithm is based on singular perturbation theory, dynamic average consensus, and saddle point dynamics methods to tackle the problem in a fully distributed manner. An analysis of the global optimal solution is presented. Additionally, to demonstrate the effectiveness of the proposed algorithm, it is applied to a simulated energy network by a demonstration of two simulations of the economic dispatch problem.

Original language	English
Title of host publication	Clemson University Power Systems Conference, PSC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193847
DOIs	https://doi.org/10.1109/PSC50246.2020.9131238
State	Published - Mar 2020
Event	2020 Clemson University Power Systems Conference, PSC 2020 - Clemson, United States Duration: Mar 10 2020 → Mar 13 2020

Publication series

Name	Clemson University Power Systems Conference, PSC 2020

Conference

Conference	2020 Clemson University Power Systems Conference, PSC 2020
Country/Territory	United States
City	Clemson
Period	03/10/20 → 03/13/20

Access to Document

10.1109/PSC50246.2020.9131238

Cite this

Hoang, P. H., Edrington, C. S., Papari, B., Ozkan, G., & Ahn, H. S. (2020). Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch. In Clemson University Power Systems Conference, PSC 2020 Article 9131238 (Clemson University Power Systems Conference, PSC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PSC50246.2020.9131238

Hoang, Phuong H. ; Edrington, Chris S. ; Papari, Behnaz et al. / Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch. Clemson University Power Systems Conference, PSC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Clemson University Power Systems Conference, PSC 2020).

@inproceedings{3949f241caaf4759a72ca54a102540ae,

title = "Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch",

abstract = "This paper presents an algorithm for a distributed constrained optimization problem. The studied problem has a strictly convex objective function, affine constraints, and an undirected and connected communication topology. The algorithm is based on singular perturbation theory, dynamic average consensus, and saddle point dynamics methods to tackle the problem in a fully distributed manner. An analysis of the global optimal solution is presented. Additionally, to demonstrate the effectiveness of the proposed algorithm, it is applied to a simulated energy network by a demonstration of two simulations of the economic dispatch problem.",

author = "Hoang, \{Phuong H.\} and Edrington, \{Chris S.\} and Behnaz Papari and Gokhan Ozkan and Ahn, \{Hyo Sung\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Clemson University Power Systems Conference, PSC 2020 ; Conference date: 10-03-2020 Through 13-03-2020",

year = "2020",

month = mar,

doi = "10.1109/PSC50246.2020.9131238",

language = "English",

series = "Clemson University Power Systems Conference, PSC 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Clemson University Power Systems Conference, PSC 2020",

}

Hoang, PH, Edrington, CS, Papari, B, Ozkan, G & Ahn, HS 2020, Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch. in Clemson University Power Systems Conference, PSC 2020., 9131238, Clemson University Power Systems Conference, PSC 2020, Institute of Electrical and Electronics Engineers Inc., 2020 Clemson University Power Systems Conference, PSC 2020, Clemson, United States, 03/10/20. https://doi.org/10.1109/PSC50246.2020.9131238

Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch. / Hoang, Phuong H.; Edrington, Chris S.; Papari, Behnaz et al.
Clemson University Power Systems Conference, PSC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9131238 (Clemson University Power Systems Conference, PSC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch

AU - Hoang, Phuong H.

AU - Edrington, Chris S.

AU - Papari, Behnaz

AU - Ozkan, Gokhan

AU - Ahn, Hyo Sung

PY - 2020/3

Y1 - 2020/3

N2 - This paper presents an algorithm for a distributed constrained optimization problem. The studied problem has a strictly convex objective function, affine constraints, and an undirected and connected communication topology. The algorithm is based on singular perturbation theory, dynamic average consensus, and saddle point dynamics methods to tackle the problem in a fully distributed manner. An analysis of the global optimal solution is presented. Additionally, to demonstrate the effectiveness of the proposed algorithm, it is applied to a simulated energy network by a demonstration of two simulations of the economic dispatch problem.

AB - This paper presents an algorithm for a distributed constrained optimization problem. The studied problem has a strictly convex objective function, affine constraints, and an undirected and connected communication topology. The algorithm is based on singular perturbation theory, dynamic average consensus, and saddle point dynamics methods to tackle the problem in a fully distributed manner. An analysis of the global optimal solution is presented. Additionally, to demonstrate the effectiveness of the proposed algorithm, it is applied to a simulated energy network by a demonstration of two simulations of the economic dispatch problem.

UR - https://www.scopus.com/pages/publications/85089137622

U2 - 10.1109/PSC50246.2020.9131238

DO - 10.1109/PSC50246.2020.9131238

M3 - Conference contribution

AN - SCOPUS:85089137622

T3 - Clemson University Power Systems Conference, PSC 2020

BT - Clemson University Power Systems Conference, PSC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Clemson University Power Systems Conference, PSC 2020

Y2 - 10 March 2020 through 13 March 2020

ER -

Hoang PH, Edrington CS, Papari B, Ozkan G, Ahn HS. Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch. In Clemson University Power Systems Conference, PSC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9131238. (Clemson University Power Systems Conference, PSC 2020). doi: 10.1109/PSC50246.2020.9131238

Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch

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