An Improved Constrained Multiobjective Optimization for Energy Multimodal Transport Among Clustering Islands

被引：0
作者：
Yang, Xu [1 ]
Zhang, Fuxing [2 ]
Miao, Honglei [2 ]
机构：
[1] Natl Univ Def Technol, Coll Syst Engn, Deya Rd 109, Changsha 410073, Peoples R China
[2] HNAC Technol Co Ltd, 609 Lusong Rd, Changsha 410205, Peoples R China
来源：
MATHEMATICS | 2024年 / 12卷 / 24期
基金：
中国国家自然科学基金;
关键词：
clustering islands; energy security; multimodal transport; constrained multiobjective optimization; 90-10; EVOLUTIONARY ALGORITHM; HANDLING METHOD; CONSTRUCTION; MODEL;
D O I：
10.3390/math12243926
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Clustering islands located close to each other and sharing some common characteristics offer diverse and unique opportunities for tourism, trade, and research, and especially take a crucial part in the military. Remote from inland, islands have relatively limited resources, which makes them dependent on imported energy sources such as oil and gas or renewable energy. However, there are few studies about the energy security of clustering islands. To this end, this study proposes a novel energy optimization framework that aims to optimize the use of their different types of energy among clustering islands and improve the stability of the whole energy internet via a multilayer transportation network. The transportation network also enables islands to serve as emergency power sources for each other in some emergency situations. Specifically, we construct an assignment model that considers multimodal transport, multiobjective, and multiple constraints. To address this issue, we develop an unconstrained-individuals guiding constrained multiobjective optimization algorithm, named uiCMOA. Experimental results demonstrate the effectiveness of the transportation network and the efficiency of the proposed algorithm.
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页数：29
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