Title :
A Design Model for Multi-objective Optimization of Photovoltaic Battery Configuration Problem
Author_Institution :
E-Commerce Eng. with Law, Beijing Univ. of Posts & Telecommun., Beijing, China
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.
Keywords :
cells (electric); optimisation; photovoltaic cells; deep first search algorithm; multiobjective optimization; photovoltaic battery assignment; photovoltaic battery configuration problem; Batteries; Computational modeling; Computer architecture; Mathematical model; Optimization; Photovoltaic systems; depth-first search; multi-objective optimization model; photovoltaic battery configuration;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.202