Incorporating experts knowledge in RTU placement procedure using fuzzy sets theory-a practical approach

Payman Dehghanian, Ali Asghar Razi Kazemi, Ghasem Karami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC)
PublisherIEEE Press
Pages1-10
Number of pages10
ISBN (Electronic)978-1-4577-1250-0, 978-1-4577-1248-7
ISBN (Print)978-1-4577-1249-4
DOIs
Publication statusPublished - Oct 2011

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Dehghanian, P., Kazemi, A. A. R., & Karami, G. (2011). Incorporating experts knowledge in RTU placement procedure using fuzzy sets theory-a practical approach. In 2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC) (pp. 1-10). IEEE Press. https://doi.org/10.1109/intlec.2011.6099779