• DocumentCode
    1835792
  • Title

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

  • Author

    Jie Heng

  • Author_Institution
    E-Commerce Eng. with Law, Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    2
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    226
  • Lastpage
    229
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.202
  • Filename
    6642730