Optimal operation of hybrid energy system for intelligent ship : An ultrahigh-dimensional model and control method

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

5 Scopus Citations
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Author(s)

  • Jingang Lai
  • Zhengcheng Dong

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number119077
Journal / PublicationEnergy
Volume211
Online published14 Oct 2020
Publication statusPublished - 15 Nov 2020

Abstract

Due to the upcoming regulations for decreasing emissions from shipping, the hybrid energy system is becoming a more popular and feasible option for large ships. This work focuses on the cooperation and optimal operation of onboard hybrid energy system and on-land shore power, in order to obtain cost savings from the perspective of shipping company. Firstly, this work proposes a novel concept, namely “data acquisition and sharing mechanism at shipping company level”, then the corresponding operation model and control methodology are developed. To be specific, the ship's energy-management is modelled as an ultrahigh-dimensional optimization problem, in which the binary/continuous hybrid encoding scheme is developed, and a high time-resolution (15 min per point) is achieved. Then, by analysing the variable-coupling characteristic, the proposed model is proved to be non-separable in the early evolution stage, and nearly separable in the later stage. Finally, the novel “power/time/random” variable-grouping and “guided mutation of context-vector” mechanisms are proposed for enhancing the co-evolutionary algorithm to optimize the model. Experimental results show that even when the model dimensionality increases to more than 3000, the evaluated system can strictly satisfy the regulations and constraints from both the port and ship, and also obtain great cost savings.

Research Area(s)

  • Energy management, Green port, Hybrid energy system, Intelligent ship, Optimal scheduling

Citation Format(s)

Optimal operation of hybrid energy system for intelligent ship : An ultrahigh-dimensional model and control method. / Tang, Ruoli; An, Qing; Xu, Fan; Zhang, Xiaodi; Li, Xin; Lai, Jingang; Dong, Zhengcheng.

In: Energy, Vol. 211, 119077, 15.11.2020.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review