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An SVM-T3SD policy driven method for IT infrastructure selection in Smart Grid

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8 Author(s)
Mansouri, S.S. ; Sch. of ECE, Univ. of Tehran, Tehran, Iran ; Hassanpour, N. ; Fereidunian, A. ; Ghafouri, A.
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This paper presents a decision-maker expert system, referred to as SVM-T3SD (Support Vector Machines for Tricotyledon Theory of System Design) to select a proper IT infrastructure for a Smart Grid. The proposed SVM-T3SD is a policy-driven decision making method combining the SVM, Fuzzy and T3SD concepts. The practical data are taken from the Greater Tehran Electrical Distribution Company (GTEDC) and three alternative IT infrastructures - Spread Spectrum (SS), Distribution Line Carrier (DLC) and Leased Line (LL) - are considered in this study. Conclusively, it is revealed that the method is as effective as previously proposed methods, yet more efficient, due to employing fewer rules to construct the expert system rule-base.

Published in:

Smart Grids (ICSG), 2012 2nd Iranian Conference on

Date of Conference:

24-25 May 2012