Intelligent Ship Integrated Energy System and Its Distributed Optimal Scheduling Algorithm

被引：0
|
作者：
Teng F. [1 ]
Shan Q.-H. [2 ]
Li T.-S. [2 ,3 ]
机构：
[1] Marine Electrical Engineering College, Dalian Maritime University, Dalian
[2] Navigation College, Dalian Maritime University, Dalian
[3] College of Automation Engineering, University of Electronic Science and Technology of China, Chengdu
来源：
Shan, Qi-He (shanqihe@dlmu.edu.cn) | 1809年 / Science Press卷 / 46期
基金：
中国国家自然科学基金;
关键词：
Broad learning system; Distributed optimal scheduling; General noise; Integrated energy system; Intelligent Ship;
D O I：
10.16383/j.aas.c200176
中图分类号：
学科分类号：
摘要：
Shipping pollution seriously hinders the development of marine economy and becomes a key bottleneck in the construction of a powerful marine country. The emergence of intelligent ship provides an important means for the green maritime transportation and sustainable development of shipping industry. In order to further develop new energy on board, improve the comprehensive energy efficiency and reduce the emission of shipping pollution, this paper takes the energy conversion center as the hub and constructs the model of intelligent ship integrated energy system cored with the energy optimal scheduling system. Simultaneously, the objective function and relevant constraints of energy optimal scheduling, of the intelligent ship integrated energy system are established in the conditions of the special dynamical system's load demand, low pollution emission standard of navigation and the electrothermal coupling supply characteristics. On the other hand, combined with broad learning and multi-agent distributed optimization theory with generalized noise, a distributed optimal scheduling method is proposed. This method can not only predict the load demand of all periods of the whole voyage quickly and accurately, but also accommodate complex noises, which can realize the efficient energy optimal scheduling of the intelligent ship integrated energy system and ensure the economic, reliable and stable navigation of the intelligent ship. Finally, the simulation results show the effectiveness of the proposed distributed optimal scheduling method. Copyright © 2020 Acta Automatica Sinica. All rights reserved.
引用
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页码：1809 / 1817
页数：8
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