NDLI: A knowledge-based efficiency assessment system for distribution network using data envelopment analysis

Content Provider	IEEE Xplore Digital Library
Author	Tiefeng Zhang Lisong Liang Hua Lin Jie Lu Guangquan Zhang
Copyright Year	2010
Description	Author affiliation: North China Electric Power University, Baoding, China (Tiefeng Zhang) \|\| School of Electric&Electronic Engineering, North China Electric Power University, Baoding, China (Hua Lin) \|\| Faculty of Engineering and Information Technology, University of Technology Sydney, PO BOX 123, Broadway, NSW 2007, Australia (Lisong Liang; Jie Lu; Guangquan Zhang)
Abstract	Distribution network is the most important asset in electric utilities, to increase its efficiency, there is a need to effectively assess the efficiency of distribution network and provide solution for improvement. This paper presents a knowledge-based efficiency assessment system for distribution network using data envelopment analysis (DEA). From an input-output view, DEA method is used to calculate the efficiency of distribution lines and obtain gap information. Knowledge base is used to store facts and rules, facts include input-outputs data of DEA and other information about structure and operation of distribution lines. The rules can be empirical rules from domain expert or extracted from industry guidelines or government standards by knowledge worker. Considering the service requirements of power supply in rules, DEA assessment results can be effectively used or provided in the solution of improvement by reasoning. The knowledge base technology and DEA integration represents a step towards a real challenge of the near future. In this system, the final decision is based on DEA assessment results and reasoning. The suggested solution can assist decision maker in making planning to further strengthen distribution network in an efficient and effective manner.
Starting Page	331
Ending Page	336
File Size	1221045
Page Count	6
File Format	PDF
ISBN	9781424448395
ISSN	21511357
e-ISBN	9781424448401
DOI	10.1109/RCIS.2010.5507392
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-19
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering knowledge base Power generation economics electric utility Data engineering Information technology Guidelines data envelopment analysis assessment systems distribution network Power industry Australia Resource management Data envelopment analysis Power engineering and energy
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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