基于贪婪算法的太阳能小屋光伏电池组合分析  

Analysis and Design of House Solar Photovoltaic Cells' Combination Based on Greedy Algorithm

作　　者：刘月华[1] 吕永标[1] 雷春霞[1] 王义康[1] 

机构地区：[1]中国计量学院理学院,浙江杭州310018

出　　处：《电子科技》2013年第4期102-105,109,共5页Electronic Science and Technology

摘　　要：利用Hay天空散射各向异性法,将屋顶部分的实测太阳辐射总量折算到不同方位角和倾斜角阵列平面上的相应值,基于朝向和倾角等因素,利用贪婪算法,首先求解效益最优电池的排序,然后进行逆变器的选配,从而得到电池组合的基本设计方案。在基本可行设计方案的基础上,根据成本—效益目标规划模型和贪婪算法构建逆变器选配的多步优化算法,最终得出架空条件下太阳能光伏电池的优化组合设计方案,有效提高了电池组的工作效率。According to the anisotropic Hay＇s model of the sky-diffuse radiation and the calculation of solar total radiation, the calculation of solar radiation of tilted surface with various tilt angle and azimuth angle can be got. Taking into account the tilt angle and the azimuth angle, we firstly get the cells with benefits evaluation, and then match the inverter by greedy algorithm. But only the local optimum solution can be found by this method. For the solution to be more precise, a multi-step optimization algorithm is constructed to make the inverter matched based on the cost-benefit goal programming model and the greedy algorithm, by which the optimum combination of solar photo- voltaic cells in the overhead conditions under the laying of the program can eventually be obtained, effectively impro- ving the work efficiency of the battery pack.

关 键 词：贪婪算法 光伏电池 最优组合设计 成本效益分析法 多目标规划 

分 类 号：TM615[电气工程—电力系统及自动化]