An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies

Hassan Al-Zarooni () and Hamdi Bashir ()
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Hassan Al-Zarooni: University of Sharjah
Hamdi Bashir: University of Sharjah

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 6, No 10, 1204-1226

Abstract: Abstract Despite the attention that the modeling and analyis of infrastructure interdependencies have received over the past two decades, only a small number of methods have been proposed for modeling interdependencies among substations (S/Ss) in electric power system (EPS) networks. For this reason, this paper proposes a novel approach that integrates interpretive structural modeling (ISM) and fuzzy cross-impact matrix multiplication applied to classification (MICMAC). While the ISM provides managers with a holistic visual view of interdependencies among S/Ss, fuzzy MICMAC analysis categorizes the S/Ss in terms of their driving and dependence powers. This categorization offers an advantageous tool for decision makers to distinguish between S/Ss and their mutual associations, which enables them to identify the critical S/Ss. For demonstration, the approach is applied to a model and analyzes the independencies within real EPS S/Ss.

Keywords: ISM; Fuzzy MICMAC; EPS-s/ss; Infrastructures; Interdependencies (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s13198-020-00977-w

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