NDLI: The application of sites selection based on AHP-SVM in 500KV substation

Content Provider	IEEE Xplore Digital Library
Author	Yi Yang Qiushi Du Jinying Zhao
Copyright Year	2010
Description	Author affiliation: Department of Information Engineering, Shenyang Institute of Engineering, Shenyang 110136 (Yi Yang) \|\| School of Business and Administration, North China Electric Power University, Baoding 071003 (Qiushi Du) \|\| School of Electronic and Information Engineering, North China Electric Power University, Baoding 071003 (Jinying Zhao)
Abstract	In this paper, a set of comprehensive evaluation index system for selection of transmission and transformation station site was established, based on the analysis of status of transmission and transformation station site project from Baotou to Hohhot. In order to make subjective coincide well with objective, AHP was used to determine the various evaluation index weight and the method of support vector machine classification was introduced into comprehensive evaluation of transmission and transformation station site project, because of many factors involved in the comprehensive evaluation of transmission power station site project. In the article, the empirical study and comprehensive evaluation of transmission and transformation station site project from Baotou to Hohhot were made respectively, so the scientific of the evaluation was improved. This project research also increases capability and reliability of power supply for distribution system in western Inner Mongolia.
Starting Page	1225
Ending Page	1229
File Size	286861
Page Count	5
File Format	PDF
ISBN	9781424473311
e-ISBN	9781424473304
DOI	10.1109/ICLSIM.2010.5461156
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Substation Substations Analytic Hierarchy Process Power supplies Geology Power generation economics Support Vector Machine Environmental economics Information analysis Support vector machines Investments Power system reliability 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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