DocumentCode
3217910
Title
Multi-objective evaluation for distribution network reconstruction basing on hierarchical data envelopment analysis
Author
Liu Wen-xia ; Zhang Li-xin ; Zhang Jian-hua ; Fan Yong-feng
Author_Institution
Key Lab. of Power Syst. Protection, North China Electr. Power Univ., Beijing
fYear
2009
fDate
15-18 March 2009
Firstpage
1
Lastpage
6
Abstract
Studying the optimal subsection of distribution networks feeders, a subsection scheme synthesizing load and the length of subsections is presented. Hierarchical data envelopment analysis (DEA) method is proposed for multi-objective evaluation of subsection schemes. First, the scientific assessment system is established by using the analytic hierarchy process (AHP) and the weights of assessment criteria are derived from the judgment matrix. Secondly, the actual index data is used to structure DEA model, the schemes are evaluated quantificational with regard to different assessment criteria. Finally, each scheme is evaluated comprehensively. Using this method and the evaluation system to evaluate the subsection schemes, the evaluation results show that the assessment method is scientific and effective; the subsection method presented in this paper can better meet the economic and reliability requirements and is simple and practical.
Keywords
data analysis; distribution networks; risk management; analytic hierarchy process; assessment method; distribution network reconstruction; distribution networks feeders; hierarchical data envelopment analysis; multiobjective evaluation; scientific assessment system; Costs; Data envelopment analysis; Investments; Maintenance; Power generation economics; Power supplies; Power system economics; Power system planning; Power system reliability; Switches; analytic hierarchy process; data envelopment analysis; optimal efficiency index; optimal subsection;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-3810-5
Electronic_ISBN
978-1-4244-3811-2
Type
conf
DOI
10.1109/PSCE.2009.4840158
Filename
4840158
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