基于遗传算法的非规则墙体光伏阵列的设计

Pv Array Design Based on Genetic Algorithm

提出一种基于遗传算法的非规则墙体上光伏阵列的设计模型.提出适用于非规则墙体上光伏阵列的编解码算法,以及相对应的选择算子、交叉算子、变异算子,利用加权平均的方式对遗传算法中的适应度函数进行定义,实现对光伏阵列的发电量最大化和单位发电成本最小化.最后通过在Matlab环境下仿真,验证了本文算法的有效性.

In this paper, we introduce a model of designing PV array on a wall on which there are several holes. This model based on genetic algorithm. We build an encoding and decoding model, then design the corresponding selection operator, crossover operator, muta- tion operator. In order to maximize the amount of annual power generation of the PV array and to minimize the unit cost, we define the fitness function of the genetic algorithm using the weighted average method. Finally, through the simulation in Matlab environment, we verify the effectiveness of the proposed algorithm.