基于遗传算法的太阳能光伏电池板优化铺设:基于遗传算法的太阳能光伏电池板优化铺设
The optimal laying way design of photovoltalc cell based on genetic algorithm
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作 者:卫召[1] 王义晶[2]
WEI Zhao, WANG Yi-jing (1. School of Materiols Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China; 2. School of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo 454000, China)
机构地区:[1]河南理工大学材料科学与工程学院,河南焦作454000 [2]河南理工大学数学与信息科学学院,河南焦作454000
出 处:《电子设计工程》 2015年第2期 54-56页,共3页
International Electronic Elements
摘 要:传统太阳能建筑中太阳能电池板的排布不够合理,既浪费空间又破坏建筑墙体。本文使用数学建模的方法对太阳能光伏电池板的优化铺设做出探讨。在探求电池板摆放规律后,通过分析建立多目标规划函数,借助完全背包问题的数学模型,运用遗传算法进行求解,得到平面内最佳的电池板排布方式,实现了光伏发电总量最大,单位发电量成本最低的双重目标。
Traditional solar panels' layout of solar building is not reasonable, not only waste room, but also destroy building wall. This article deals with this problem with mathematical modeling. Multi-objective planning function is established after the laying law of photovoltaie cell was found. And it can be transformed into the modeling for full knapsack problem because they are very similarly. The optimal laying way design of photovoltaic cell is available when maximum profit objective function was solved by Genetic Algorithm. It can make the cost of electricity minimum, and the highest electric energy production.
关键词:多目标规划函数 完全背包问题 遗传算法 Matlab
multi-objective planning function ; full knapsack problem ; genetic algorithm ; Matlab ;