Ship energy distribution optimization based on multi-objective Antlion algorithm

Wang Honglun; Dai Xiaoqiang; Cong Haozhe

doi:10.1109/CAC53003.2021.9728675

Ship energy distribution optimization based on multi-objective Antlion algorithm

Wang Honglun
, Dai Xiaoqiang
, Cong Haozhe

Jiangsu University of Science and Technology

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

1 Scopus citations

Abstract

In order to realize the optimal operation of multi-energy ship power system with the dual objectives of economy and environmental protection under the system constraints, the ship power system was studied, and a ship power management control strategy that coordinated economy and environmental protection was proposed. The latest intelligent algorithm, multi-objective Ant-lion algorithm, is adopted to solve the problem of energy management power allocation strategy, which can effectively suppress the load fluctuation and improve the environmental performance and economy. The simulation results show that the model can guide the power distribution of ship power network.

Original language	English
Title of host publication	Proceeding - 2021 China Automation Congress, CAC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4702-4707
Number of pages	6
ISBN (Electronic)	9781665426473
DOIs	https://doi.org/10.1109/CAC53003.2021.9728675
State	Published - 2021
Externally published	Yes
Event	2021 China Automation Congress, CAC 2021 - Beijing, China Duration: 22 Oct 2021 → 24 Oct 2021

Publication series

Name	Proceeding - 2021 China Automation Congress, CAC 2021

Conference

Conference	2021 China Automation Congress, CAC 2021
Country/Territory	China
City	Beijing
Period	22/10/21 → 24/10/21

Keywords

Ship power system
environmental performance
multi-objective Ant-lion algorithm
power allocation

Access to Document

10.1109/CAC53003.2021.9728675

Cite this

@inproceedings{137df3f09eb14c929f97facb4270687d,

title = "Ship energy distribution optimization based on multi-objective Antlion algorithm",

abstract = "In order to realize the optimal operation of multi-energy ship power system with the dual objectives of economy and environmental protection under the system constraints, the ship power system was studied, and a ship power management control strategy that coordinated economy and environmental protection was proposed. The latest intelligent algorithm, multi-objective Ant-lion algorithm, is adopted to solve the problem of energy management power allocation strategy, which can effectively suppress the load fluctuation and improve the environmental performance and economy. The simulation results show that the model can guide the power distribution of ship power network.",

keywords = "Ship power system, environmental performance, multi-objective Ant-lion algorithm, power allocation",

author = "Wang Honglun and Dai Xiaoqiang and Cong Haozhe",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 China Automation Congress, CAC 2021 ; Conference date: 22-10-2021 Through 24-10-2021",

year = "2021",

doi = "10.1109/CAC53003.2021.9728675",

language = "英语",

series = "Proceeding - 2021 China Automation Congress, CAC 2021",

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

pages = "4702--4707",

booktitle = "Proceeding - 2021 China Automation Congress, CAC 2021",

address = "美国",

}

Honglun, W, Xiaoqiang, D & Haozhe, C 2021, Ship energy distribution optimization based on multi-objective Antlion algorithm. in Proceeding - 2021 China Automation Congress, CAC 2021. Proceeding - 2021 China Automation Congress, CAC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 4702-4707, 2021 China Automation Congress, CAC 2021, Beijing, China, 22/10/21. https://doi.org/10.1109/CAC53003.2021.9728675

Ship energy distribution optimization based on multi-objective Antlion algorithm. / Honglun, Wang; Xiaoqiang, Dai; Haozhe, Cong.
Proceeding - 2021 China Automation Congress, CAC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 4702-4707 (Proceeding - 2021 China Automation Congress, CAC 2021).

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

TY - GEN

T1 - Ship energy distribution optimization based on multi-objective Antlion algorithm

AU - Honglun, Wang

AU - Xiaoqiang, Dai

AU - Haozhe, Cong

PY - 2021

Y1 - 2021

N2 - In order to realize the optimal operation of multi-energy ship power system with the dual objectives of economy and environmental protection under the system constraints, the ship power system was studied, and a ship power management control strategy that coordinated economy and environmental protection was proposed. The latest intelligent algorithm, multi-objective Ant-lion algorithm, is adopted to solve the problem of energy management power allocation strategy, which can effectively suppress the load fluctuation and improve the environmental performance and economy. The simulation results show that the model can guide the power distribution of ship power network.

AB - In order to realize the optimal operation of multi-energy ship power system with the dual objectives of economy and environmental protection under the system constraints, the ship power system was studied, and a ship power management control strategy that coordinated economy and environmental protection was proposed. The latest intelligent algorithm, multi-objective Ant-lion algorithm, is adopted to solve the problem of energy management power allocation strategy, which can effectively suppress the load fluctuation and improve the environmental performance and economy. The simulation results show that the model can guide the power distribution of ship power network.

KW - Ship power system

KW - environmental performance

KW - multi-objective Ant-lion algorithm

KW - power allocation

UR - https://www.scopus.com/pages/publications/85128068726

U2 - 10.1109/CAC53003.2021.9728675

DO - 10.1109/CAC53003.2021.9728675

M3 - 会议稿件

AN - SCOPUS:85128068726

T3 - Proceeding - 2021 China Automation Congress, CAC 2021

SP - 4702

EP - 4707

BT - Proceeding - 2021 China Automation Congress, CAC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 China Automation Congress, CAC 2021

Y2 - 22 October 2021 through 24 October 2021

ER -

Ship energy distribution optimization based on multi-objective Antlion algorithm

Abstract

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Conference

Keywords

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