An Energy Optimization Strategy for Hybrid Power Ships under Load Uncertainty Based on Load Power Prediction and Improved NSGA-II Algorithm

Diju Gao, Xuyang Wang, Tianzhen Wang, Yide Wang and Xiaobin Xu
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Diju Gao: Key Laboratory Marine Technology and Control Engineering, Ministry of Communications, Shanghai Maritime University, Shanghai 201306, China
Xuyang Wang: Key Laboratory Marine Technology and Control Engineering, Ministry of Communications, Shanghai Maritime University, Shanghai 201306, China
Tianzhen Wang: Key Laboratory Marine Technology and Control Engineering, Ministry of Communications, Shanghai Maritime University, Shanghai 201306, China
Yide Wang: Key Laboratory Marine Technology and Control Engineering, Ministry of Communications, Shanghai Maritime University, Shanghai 201306, China
Xiaobin Xu: School of Automation, Hangzhou Dianzi University, Hangzhou 100084, China

Energies, 2018, vol. 11, issue 7, 1-14

Abstract: In this paper, a hybrid ship powered by diesel generator sets and power batteries in series is considered. By analyzing the characteristics of hybrid ship cycle operating conditions, the load power of the hybrid ship under load uncertainty is firstly predicted. Then, considering the economy, emissions and continuous navigation time (endurance) of the hybrid ship, an energy optimization strategy based on the predicted load power is proposed to achieve the goal of minimum fuel consumption, minimum emissions and maximum endurance of ship operation. The experimental results show that, compared with the fuzzy logic rules based strategy, the fuel economy of the ship is increased by 9.6% and the ship’s endurance is increased by 24% for the proposed strategy.

Keywords: hybrid ship; energy management strategy; load prediction; multi-objective optimization (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 (5)

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