DocumentCode :
2605610
Title :
Optimal subsection of distribution network feeders based on value engineering
Author :
Liu, Wenxia ; Yang, Xu ; Ye, Meng ; Zhang, Jianhua
Author_Institution :
Dept. of Inf., North China Electr. Power Univ., Beijing, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
Installing subsection switches on distribution network feeders is an effective measure to improve system reliability. In this paper, based on value engineering, a new method is presented to determine optimal subsection scheme. By application of value engineering theory, a new objective function is constructed. The new objective function, based on cost-benefit analysis, is constructed by reference to theory of value, function and cost in value engineering. The new objective function could more clearly reflect the value relationship between improved reliability and increased input costs. This proposed method not only broadens the applicable scope of value engineering, but also makes better combination of reliability and economy. Finally, the proposed method has been tested on the IEEE RBTS-2 bus system. Test results indicate that solution solved by the improved function is more superior to that of the original objective function, which has proved effectiveness and scientific of this new method.
Keywords :
power distribution reliability; value engineering; IEEE RBTS-2 bus system; distribution network feeders; optimal subsection scheme; system reliability; value engineering theory; Cost benefit analysis; Cost function; Genetic algorithms; Power engineering and energy; Power generation economics; Power supplies; Power system management; Power system reliability; Reliability engineering; Switches; Cost-benefit; Distribution Network; Genetic Algorithm; Optimal section; Value Engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348334
Filename :
5348334
Link To Document :
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