DocumentCode :
722474
Title :
Optimal retrofitting of a hybrid propulsion system using NSGA-II algorithm for trailing suction hopper dredger
Author :
Keyi Zhan ; Haibo Gao ; Hui Chen ; Zhiguo Lin
Author_Institution :
Sch. of Energy & Power Eng., Wuhan Univ. of Technol., Wuhan, China
fYear :
2015
fDate :
21-24 June 2015
Firstpage :
201
Lastpage :
206
Abstract :
Traditional trailing suction hopper dredgers (TSHDs) are generally equipped with diesel engines as single power source. The diesel engines must be sized to cater for the maximum power demand, so they are significantly oversized most of the time. To solve this problem, an optimal retrofitting concept is proposed for matching main power equipments in hybrid propulsion system for a TSHD. The nondominated sorting genetic algorithm II (NSGA-II) is adopted to optimize the hybrid propulsion system design. Power equipments here include main engine, Variable Speed Drive (VSD), battery bank. The optimization is concerned with minimization of total installation weight and fuel consumption, also with limiting the value of State of Charge (SOC) by using graduated system of punishment. The different solutions are reflected in final Pareto front.
Keywords :
Pareto optimisation; diesel engines; electric propulsion; genetic algorithms; hybrid power systems; power apparatus; variable speed drives; NSGA-II algorithm; Pareto optimization; SOC; TSHD; VSD; battery bank; diesel engines; fuel consumption; hybrid propulsion system; optimal retrofitting concept; power equipment; state of charge; trailing suction hopper dredger; variable speed drive; Batteries; Engines; Fuels; Power demand; Propulsion; Sorting; System-on-chip; NSGA-II; graduated system of punishment; hybrid propulsion; trailing suction hopper dredger;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Ship Technologies Symposium (ESTS), 2015 IEEE
Conference_Location :
Alexandria, VA
Print_ISBN :
978-1-4799-1856-0
Type :
conf
DOI :
10.1109/ESTS.2015.7157888
Filename :
7157888
Link To Document :
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