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

• Published in: Energies (Basel) Vol. 11; no. 9; p. 2211
• Main Authors: Yuan, Yupeng, Zhang, Tianding, Shen, Boyang, Yan, Xinping, Long, Teng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 2018
• Subjects: Alternative energy sources; Diesel fuels; Electrical loads; Emissions control; Energy conservation; Energy management; energy management strategy; Energy utilization; Fuzzy logic; hybrid power ship; Photovoltaics; Ships; Solar energy; Solar power; Stochasticity; Strategy; Technology
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en11092211

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.