DocumentCode :
3355504
Title :
Multi-Objective Evaluation for Distribution Network Basing on Hierarchical DEA
Author :
Wen-xia liu ; Li-Xin Zhang ; Jian-Hua Zhang ; Yong-Feng Fan
Author_Institution :
Electr. & Electron. Eng. Dept., North China Electr. Power Univ., Beijing
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
4
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 envelopment analysis; power distribution reliability; analytic hierarchy process; data envelopment analysis method; distribution network multiobjective evaluation; distribution networks feeders; hierarchical DEA; reliability; subsection scheme synthesizing load; Cost function; Data envelopment analysis; Investments; Network synthesis; Power engineering and energy; Power generation economics; Power supplies; Power system economics; Power system reliability; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
Type :
conf
DOI :
10.1109/APPEEC.2009.4918506
Filename :
4918506
Link To Document :
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