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
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