基于遗传算法的风／光互补发电系统的优化设计  

Optimization design of wind/photovoltaic hybrid power systems based on genetic algorithms

作　　者：张伯泉[1] 杨宜民[1] 陈璟华[1] 刘志煌[1] 

机构地区：[1]广东工业大学自动化学院,广州510090

出　　处：《仪器仪表学报》2006年第z3期2315-2317,共3页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(60534040);广东省自然科学基金(05001819)

摘　　要：风能和太阳能是丰富清洁的可再生能源,风力发电和太阳能光伏发电是重要的后续能源,并将为能源结构的调整和环境的保护做出巨大贡献。本文设计了一种风／光互补发电系统,由于风／光互补发电系统具有强非线性,很难建立精确的数学模型,因此用传统的方法对其进行优化设计很难达到理想的效果。本文设计了一种遗传算法,并用该算法对一个已经运行的风／光互补发电系统进行了优化设计,结果证明了遗传算法在风／光互补发电系统优化设计中的有效性。最后,提出风／光互补发电系统的运行也具有非线性特点,用遗传算法对其进行动态管理是今后值得探讨的一个问题。Wind energy and solar energy are clean, abundant and renewable. Wind power and photovoltaic power are important alternative energy, which will contribute to adjusting energy structures and protecting enviorments. This paper designs a wind/photovoltaic hybrid power systems, and points out that it is strongly non-linear which makes it very hard to construct precise mathematical model and very hard to optimize it. In this paper,a new genetic algorithm is designed which is used to optimize a running wind/photovoltaic hybrid systems. The result shows the genetic algorithm is effective in the optimization design of wind/photovoltaic hybrid systems. At the end of this paper, it puts forward the running of wind/photovoltaic hybrid systems is also non-linear, which should be researched for its dynamic management.

关 键 词：遗传算法 风力发电 太阳能发电 风-光互补发电 优化设计 

分 类 号：TH7-55[机械工程—仪器科学与技术]