风光等清洁能源已越来越多的应用到船舶中。船舶风光互补辅助发电系统在设计时，往往依传统经验对风力发电机、太阳能板和蓄电池之间进行数量及参数的配置，势必会造成系统配置不合理、运行效率低的问题。为了更精准的在系统各个部件之间进行配置，从节约成本的角度出发，通过建立风力发电机和太阳能板的数学模型，采用改进遗传算法对船舶风光互补辅助发电系统各个部件在数量和参数上进行优化配置，并对配置算法进行仿真验证，极大地提高了系统的运行效率，节约了系统初始成本和维护成本，为船舶风光互补辅助发电系统的设计提供了一种有效的解决方案。
Wind and solar energy and other clean energy as an auxiliary power generation has been more and more applied to the ship. In the design of the wind and solar complementary power generation system, traditional experience is often used to optimize the quantity and cost of the wind turbine, solar panels and batteries. In order to be more accurate in the configuration between the various parts of the system, from the point of view of cost savings, The mathematical model of wind turbine and solar panel is established, and the genetic algorithm is used to optimize the number and parameters of each component of the wind solar hybrid power generation system. And the optimal configuration algorithm is simulated and verified. It greatly improves the efficiency of the system, saves the initial cost and maintenance cost and provides an effective solution for the design of the hybrid system.
2019,41(1): 107-110 收稿日期：2017-07-28
DOI：10.3404/j.issn.1672-7649.2019.01.020
分类号：U665.2
基金项目：辽宁省自然科学基金资助项目（20170540082）
作者简介：马川(1984-),男,博士研究生,研究方向为船舶自动与智能化、太阳能风能发电
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