混合可再生能源路灯照明系统优化设计

Optimal Design of Stand-alone Hybrid Street Lighting System with Fuel Cells

商业用的独立照明系统一般是基于传统光伏电池和蓄电池配置而成。然而在远离赤道的地区无法满足一整年的工作要求。为了提高传统照明系统的实用性、经济性以及环保性,设计了一种由光伏电池、蓄电池组件和燃料电池组成的混合可再生能源系统来为路灯供电。在保证系统稳定可靠运行的同时,减少系统规模并尽可能降低成本是系统设计中的一个关键问题。为了减小系统的规模和成本,从能量管理的角度提出了一种解决该问题的新方法。建立了整个照明系统的仿真模型,通过定量分析确定了基于遗传算法的随机优化算法对整个系统成本进行优化,找出合理配置。使用的方法和结论可以为其他独立照明系统的设计提供帮助。

The commercialized stand-alone street lighting system based on the classical configuration coupling photovoltaic cells（PV） and battery cannot work all the year round in regions that are far from the equator. To improve the practicability,economy and environmental protection of the traditional system, this paper designs a kind of hybrid renewable energy street lighting system consisting of PV battery, storage battery and fuel battery to supply electricity for street lighting. It is significant to ensure the stable and reliable running of the system and at the same time reduce the system scale and cost. Therefore, this paper proposes a study of this problem by modeling the system from the perspective of energy management, chooses a genetic algorithm to design the hy-brid system optimally and evaluates the validity of the design method. The proposed method can also help the design of other stand-alone lighting systems.