• DocumentCode
    2342010
  • Title

    Optimal allocation for improving system reliability using AHP

  • Author

    Lee, Gwo-Luh ; Lin, Horng-Jyh ; Yu, Tse-Wei ; Chen, Jong-Yih ; Ma, Chih-Chieh ; Chyou, Shang-Lee

  • Author_Institution
    Vanung Univ., Taoyuan
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    159
  • Lastpage
    163
  • Abstract
    In this research we discussed some reliability allocation methods and reliability optimization in high concentration photovoltaic (HCPV) system design. First, the analytic hierarchy process (AHP) method was applied to look for the representative and adequate effort function in a logic and objective way. Then, a revised effort minimization algorithm was conducted to calculate the promoted reliability of the constituent components of a system under minimum effort demand. An example from the literature was demonstrated and the result shows that the effort function is more objective and the combine process with the revised effort minimization algorithm is available. The feasibilities among the components of a system can be fitted accordingly. Besides, the solving procedure under the request of reaching a systempsilas reliability goal can be processed entirely and effectively. The derived algorithm is also suitable for complex reliability models.
  • Keywords
    minimisation; photovoltaic power systems; power generation reliability; AHP; analytic hierarchy process; complex reliability models; high concentration photovoltaic system; optimal allocation; reliability allocation methods; reliability optimization; revised effort minimization algorithm; system reliability; Algorithm design and analysis; Cost function; Councils; Design optimization; Logic; Minimization methods; Photovoltaic systems; Power system reliability; Solar power generation; Testing; Analytic Hierarchy Process; Effort function; Reliability allocation method; Revised effort minimization algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1887-9
  • Electronic_ISBN
    978-1-4244-1888-6
  • Type

    conf

  • DOI
    10.1109/ICSET.2008.4746992
  • Filename
    4746992