DocumentCode
2595153
Title
Incorporating experts knowledge in RTU placement procedure using fuzzy sets theory-a practical approach
Author
Dehghanian, P. ; Razi Kazemi, Ali ; Karami, G.
Author_Institution
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear
2011
fDate
9-13 Oct. 2011
Firstpage
1
Lastpage
10
Abstract
So far, the need for power systems to be control automated has been approached. Moreover, the advent of smart technological infrastructures calls for a more systematic and well-designed schemes for data acquisition process. Hence, Remote Terminal Units (RTUs) are going to be considered as a crucial part of smart grid puzzle in power distribution systems. This paper aims to present a novel practical approach to have the RTU placement dilemma unraveled in power distribution systems. Practically approaching in this paper, some pragmatic factors of major importance in this respect are introduced. A framework with which the utility´s experts´ knowledge could be efficiently exploited is presented and handled through a robust decision making (DM) method referred to as Analytical Hierarchical Process (AHP). To overcome the existing inaccuracies associated with the experts knowledge and to effectively deal with the existent uncertainties and imprecision in the conventional AHP approach, fuzzy sets theory is incorporated to reach the most reliable and optimal substations as the RTU placement candidates. The efforts are focused on the pragmatic aspects interrelated with the procedure. Being applied to a real distribution power system of Iran´s power grid, the applicability and practicality of the proposed fuzzy AHP (FAHP) method is well approved.
Keywords
decision making; fuzzy set theory; power distribution control; RTU placement procedure; analytical hierarchical process; data acquisition process; experts knowledge; fuzzy sets theory; power distribution systems; remote terminal units; robust decision making method; smart grid; Delta modulation; Remote terminal unit (RTU); analytical hierarchical process (AHP); automation; fuzzy analytical hierarchical process (FAHP); fuzzy sets; placement;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Energy Conference (INTELEC), 2011 IEEE 33rd International
Conference_Location
Amsterdam
ISSN
2158-5210
Print_ISBN
978-1-4577-1249-4
Electronic_ISBN
2158-5210
Type
conf
DOI
10.1109/INTLEC.2011.6099779
Filename
6099779
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