Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model

Behnaz Papari; Robert Cox; Chris S. Edrington; Gokhan Ozkan; Phuong H. Hoang; Naireeta Deb

doi:10.1109/ESTS.2019.8847883

Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model

Behnaz Papari
, Robert Cox
, Chris S. Edrington
, Gokhan Ozkan
, Phuong H. Hoang
, Naireeta Deb

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

14 Scopus citations

Abstract

Distributed energy management has been recognized as a promising solution for fast load scheduling in the ship power systems (SPSs). In the case of a power shortage, a reliable and accurate load shedding mechanism is necessary to avoid losing the significant loads. This paper proposes a distributed energy management framework in SPSs considering the load shedding possibility in the structure. The proposed method is constructed based on a multi-agent distributed consensus-based structure employing the alternating direction method of multipliers (ADMM). Through a recursive distributed formulation, the optimal load scheduling is satisfied and the extra uncharged loads with the least priorities are determined. Due to the nonlinearity of the problem formulation, a new optimization algorithm based on the firefly algorithm is proposed to solve the problem. In addition, a satisfactory modification method is developed to improve the search ability of the algorithm and avoid the premature convergence. A notional SPS is used to validate the performance of the proposed approach.

Original language	English
Title of host publication	2019 IEEE Electric Ship Technologies Symposium, ESTS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	605-611
Number of pages	7
ISBN (Electronic)	9781538675601
DOIs	https://doi.org/10.1109/ESTS.2019.8847883
State	Published - Aug 2019
Externally published	Yes
Event	2019 IEEE Electric Ship Technologies Symposium, ESTS 2019 - Washington, United States Duration: Aug 14 2019 → Aug 16 2019

Publication series

Name	2019 IEEE Electric Ship Technologies Symposium, ESTS 2019

Conference

Conference	2019 IEEE Electric Ship Technologies Symposium, ESTS 2019
Country/Territory	United States
City	Washington
Period	08/14/19 → 08/16/19

Funding

This material is based upon research supported by, or in part by, the U.S. Office of Naval Research under award numbers N00014-16-1-2956 and N00014-17-1-2239.

Keywords

Distributed load shedding
Ship power system
energy management
optimization

Access to Document

10.1109/ESTS.2019.8847883

Cite this

Papari, B., Cox, R., Edrington, C. S., Ozkan, G., Hoang, P. H., & Deb, N. (2019). Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model. In 2019 IEEE Electric Ship Technologies Symposium, ESTS 2019 (pp. 605-611). Article 8847883 (2019 IEEE Electric Ship Technologies Symposium, ESTS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ESTS.2019.8847883

@inproceedings{4cf9382301c04f33a97679b13ccb02bc,

title = "Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model",

abstract = "Distributed energy management has been recognized as a promising solution for fast load scheduling in the ship power systems (SPSs). In the case of a power shortage, a reliable and accurate load shedding mechanism is necessary to avoid losing the significant loads. This paper proposes a distributed energy management framework in SPSs considering the load shedding possibility in the structure. The proposed method is constructed based on a multi-agent distributed consensus-based structure employing the alternating direction method of multipliers (ADMM). Through a recursive distributed formulation, the optimal load scheduling is satisfied and the extra uncharged loads with the least priorities are determined. Due to the nonlinearity of the problem formulation, a new optimization algorithm based on the firefly algorithm is proposed to solve the problem. In addition, a satisfactory modification method is developed to improve the search ability of the algorithm and avoid the premature convergence. A notional SPS is used to validate the performance of the proposed approach.",

keywords = "Distributed load shedding, Ship power system, energy management, optimization",

author = "Behnaz Papari and Robert Cox and Edrington, \{Chris S.\} and Gokhan Ozkan and Hoang, \{Phuong H.\} and Naireeta Deb",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Electric Ship Technologies Symposium, ESTS 2019 ; Conference date: 14-08-2019 Through 16-08-2019",

year = "2019",

month = aug,

doi = "10.1109/ESTS.2019.8847883",

language = "English",

series = "2019 IEEE Electric Ship Technologies Symposium, ESTS 2019",

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

pages = "605--611",

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Papari, B, Cox, R, Edrington, CS, Ozkan, G, Hoang, PH & Deb, N 2019, Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model. in 2019 IEEE Electric Ship Technologies Symposium, ESTS 2019., 8847883, 2019 IEEE Electric Ship Technologies Symposium, ESTS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 605-611, 2019 IEEE Electric Ship Technologies Symposium, ESTS 2019, Washington, United States, 08/14/19. https://doi.org/10.1109/ESTS.2019.8847883

Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model. / Papari, Behnaz; Cox, Robert; Edrington, Chris S. et al.
2019 IEEE Electric Ship Technologies Symposium, ESTS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 605-611 8847883 (2019 IEEE Electric Ship Technologies Symposium, ESTS 2019).

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

TY - GEN

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AU - Cox, Robert

AU - Edrington, Chris S.

AU - Ozkan, Gokhan

AU - Hoang, Phuong H.

AU - Deb, Naireeta

PY - 2019/8

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N2 - Distributed energy management has been recognized as a promising solution for fast load scheduling in the ship power systems (SPSs). In the case of a power shortage, a reliable and accurate load shedding mechanism is necessary to avoid losing the significant loads. This paper proposes a distributed energy management framework in SPSs considering the load shedding possibility in the structure. The proposed method is constructed based on a multi-agent distributed consensus-based structure employing the alternating direction method of multipliers (ADMM). Through a recursive distributed formulation, the optimal load scheduling is satisfied and the extra uncharged loads with the least priorities are determined. Due to the nonlinearity of the problem formulation, a new optimization algorithm based on the firefly algorithm is proposed to solve the problem. In addition, a satisfactory modification method is developed to improve the search ability of the algorithm and avoid the premature convergence. A notional SPS is used to validate the performance of the proposed approach.

AB - Distributed energy management has been recognized as a promising solution for fast load scheduling in the ship power systems (SPSs). In the case of a power shortage, a reliable and accurate load shedding mechanism is necessary to avoid losing the significant loads. This paper proposes a distributed energy management framework in SPSs considering the load shedding possibility in the structure. The proposed method is constructed based on a multi-agent distributed consensus-based structure employing the alternating direction method of multipliers (ADMM). Through a recursive distributed formulation, the optimal load scheduling is satisfied and the extra uncharged loads with the least priorities are determined. Due to the nonlinearity of the problem formulation, a new optimization algorithm based on the firefly algorithm is proposed to solve the problem. In addition, a satisfactory modification method is developed to improve the search ability of the algorithm and avoid the premature convergence. A notional SPS is used to validate the performance of the proposed approach.

KW - Distributed load shedding

KW - Ship power system

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Papari B, Cox R, Edrington CS, Ozkan G, Hoang PH, Deb N. Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model. In 2019 IEEE Electric Ship Technologies Symposium, ESTS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 605-611. 8847883. (2019 IEEE Electric Ship Technologies Symposium, ESTS 2019). doi: 10.1109/ESTS.2019.8847883

Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model

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