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

Author

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  • Hassan Al-Zarooni

    (University of Sharjah)

  • Hamdi Bashir

    (University of Sharjah)

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.

Suggested Citation

  • Hassan Al-Zarooni & Hamdi Bashir, 2020. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1204-1226, December.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:6:d:10.1007_s13198-020-00977-w
    DOI: 10.1007/s13198-020-00977-w
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