A Fuzzy Logic Energy Management Strategy for a Photovoltaic/Diesel/Battery Hybrid Ship Based on Experimental Database

Yupeng Yuan, Tianding Zhang, Boyang Shen, Xinping Yan and Teng Long
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Yupeng Yuan: Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China
Tianding Zhang: Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China
Boyang Shen: Department of Engineering, University of Cambridge, Cambridge CB3 0FA, UK
Xinping Yan: National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China
Teng Long: Department of Engineering, University of Cambridge, Cambridge CB3 0FA, UK

Energies, 2018, vol. 11, issue 9, 1-15

Abstract: Energy management strategy is a key technology of hybrid power ships. In recent years, renewable energy ship technologies have become a popular research field and one promising development direction to realize reasonable utilization of energy resource, as well as energy conservation and emission reduction. Among these technologies, the solar energy hybrid ship technology is currently attracting attention all over the word. In this paper, a 5000-car space solar energy hybrid ship is used as the research objective, and an energy management strategy that is based on fuzzy logic is proposed to distribute the ship power generation, solar energy, and battery output power according to the ship’s electrical load demand, and the fuzzification and stochasticity of solar energy. By comparing the simulation results with real ship testing results, it is identified that the proposed fuzzy logic energy management strategy can optimize the operation conditions of individual power generation sources, improve the overall performance of power system, and reduce the ship’s overall fuel consumption.

Keywords: solar energy; fuzzy logic; hybrid power ship; energy management strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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