An energy allocation strategy for hybrid ship DC power system based on genetic algorithm

ABSTRACT High fluctuating loads incur poor fuel efficiencies of diesel generators in ship electrical propulsion systems. To improve emission and fuel consumption, the battery/super capacitor hybrid energy storage system (ESS), which takes advantage of the two complementary technologies to provide large power and energy capacities, is installed in shipboard DC power system. This paper deals with the model of the hybrid power system and the optimal control of power allocation between energy storage units and diesel generators by using genetic algorithms. Simulation research on the effect of ship electric propulsion system, made by ESS in three modes of operation, is carried out by using the software Matlab. Results show that high frequency load variations are covered with the energy storage and system efficiency increases due to reducing generator power variations.

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