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储能优化技术在太阳能路灯系统中的应用
引用本文:曹旭鹏,高瞻,潘明明,吴书静,张晓俊,陶智. 储能优化技术在太阳能路灯系统中的应用[J]. 电子工程师, 2012, 0(4): 75-78
作者姓名:曹旭鹏  高瞻  潘明明  吴书静  张晓俊  陶智
作者单位:苏州大学物理科学与技术学院,苏州 215006
摘    要:将蓄电池飞轮储能模型应用于太阳能路灯系统中。该模型以成本最小化为目标,以系统的稳定性、实用性和低能耗为约束条件,分别采用线性规划和遗传算法对所建的数学模型进行优化计算。研究结果表明,2种优化方法均能找到稳定的最优解,且遗传算法优于线性规划算法。

关 键 词:太阳能路灯  蓄电池  飞轮  遗传算法  线性规划

Research of Storage Optimization Technology in the Application of Solar Street Lamp System
Cao Xupeng,Gao Zhan,Pan Mingming,Wu Shujing,Zhang Xiaojun,Tao Zhi. Research of Storage Optimization Technology in the Application of Solar Street Lamp System[J]. Electronic Engineer, 2012, 0(4): 75-78
Authors:Cao Xupeng  Gao Zhan  Pan Mingming  Wu Shujing  Zhang Xiaojun  Tao Zhi
Affiliation:(Department of Physics Science and Technology, Soochow University, Suzhou 215006, China)
Abstract:This paper researches a battery - flywheel energy storage model and applies it to the solar sys tem. The object is to minimize the initial investment of the storage section, with the stability, practicability of system and reducing energy consumption as constraints. Respectively, we use linear programming and genetic algo rithms to optimize the calculation. The results show that the two optimization methods both can find the stable optimal solution, and the performance of genetic algorithm is better than the linear programming algorithm.
Keywords:solar street lamps  battery  flywheel  genetic algorithm  linear programming
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