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

Xu Yang, Fuxing Zhang () and Honglei Miao
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Xu Yang: College of Systems Engineering, National University of Defense Technology, Deya Road No. 109, Changsha 410073, China
Fuxing Zhang: HNAC Technology Co., Ltd., No. 609 Lusong Road, Changsha 410205, China
Honglei Miao: HNAC Technology Co., Ltd., No. 609 Lusong Road, Changsha 410205, China

Mathematics, 2024, vol. 12, issue 24, 1-29

Abstract: 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.

Keywords: clustering islands; energy security; multimodal transport; constrained multiobjective optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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