A Design Model for Multi-objective Optimization of Photovoltaic Battery Configuration Problem

Jie Heng
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Abstract

On the basis of geographical characteristics data of Datong city, Shanxi Province in China, this paper presents a deep first search algorithm for solving photovoltaic battery assignment problem. It uses a multi-objective optimal procedure to decide the fitness batteries in combination of different capacity or type as a basic element group, and then find the solution for a given building. Several reasons are considered in this model: the sun angle and economy reasons. The results of computation al experiments show that proposed method performs well and reliable, and the procedure can be used as an effective method to provide solution for photovoltaic battery assignment.
光伏电池配置问题多目标优化设计模型
基于山西省大同市的地理特征数据,提出了一种求解光伏电池分配问题的深度优先搜索算法。采用多目标优化程序,确定不同容量或类型的健身电池组合作为基本单元组,并针对给定建筑寻找解决方案。在这个模型中考虑了几个原因:太阳角度和经济原因。计算实验结果表明,该方法性能良好、可靠,可作为解决光伏电池分配问题的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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