Energy Management of Hybrid Power Ship System Using Adaptive Moth Flame Optimization Based on Multi-Populations-Reference-Cited by-同舟云学术

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Energy Management of Hybrid Power Ship System Using Adaptive Moth Flame Optimization Based on Multi-Populations

Published:2024-01 Issue:1 Volume:39 Page:1711-1727
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Xu Lei¹,Luo Xiaoyuan¹^ORCID,Wen Yintang¹^ORCID,Wu Tao²^ORCID,Wang Xinyu¹,Guan Xinping³^ORCID

Affiliation:

1. School of Electrical Engineering, Yanshan University, Qinhuangdao, China

2. Department of Frontier and Innovation Research, Wuhan Second Ship Design and Research Institute, Wuhan, China

3. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Science and Technology Plan of Hebei Education Department

Nature Science Foundation of Hebei Province

Open Research Fund of Jiangsu Collaborative Innovation Center for Smart Distribution Network

Nanjing Institute of Technology

Hebei Graduate Innovation Funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/10375285/10111022.pdf?arnumber=10111022

Reference47 articles.

1. Two-level model predictive control energy management strategy for hybrid power ships with hybrid energy storage system

2. Hybrid power and propulsion systems for ships: Current status and future challenges

3. Optimal Sizing of Shipboard Carbon Capture System for Maritime Greenhouse Emission Control

4. Energy optimal dispatching of ship's integrated power system based on deep reinforcement learning

5. Reduction of maritime GHG emissions and the potential role of E-fuels

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