基于贪心算法的小型楼宇太阳能系统优化设计

Optimization Design of Small Building Solar System Based on Greedy Algorithm

针对小型楼宇太阳能系统的设计问题,根据量纲和谐原理,对全年发电总量最大,单位发电量费用小的双目标进行量纲统一化,转化为寿命期内经济效益最大的单目标,将一个看似无法解决的复杂双目标问题转化为单目标规划问题,从而大幅降低了问题复杂度。该模型首先根据不同型号电池和逆变器的各项参数,确定电池型号及数量与逆变器型号间的最优组合方式,并计算最优组合方式下单位面积产生的经济效益,以此对电池性能排序。然后根据电池性能的优劣顺序及限制条件,利用贪心算法得到小屋外表电池铺设方案。最终,评价了所建立的模型,并对问题作了进一步推广。

This paper focuses on the design of the solar lodge by unifying the target of maximizing annual power generation amount and minimizing unit capacity cost based on the dimensional homogeneity theory. The seemingly irresolvable and complex double objective problem is translated into the single objective problem of maximizing the life period of economic benefits. Firstly,the model determines the optimal combination of cell type and number and type of inverter based on the parameters of different types of battery and inverter,and calculates the optimal combinations of unit area of the economic benefits to sort on the cell performance. Then,we use greedy algorithm to get the outside battery laying scheme of the solar lodge. Finally,we evaluate our model and promote it further.