a risk assessment model based on fuzzy logic for electricity distribution system asset management

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2014
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Abstract
Electricity distribution systems are considered as the most critical sectors in countries because of the essentiality of power supplement security, socioeconomic security, and way of life. According to the central role of electricity distribution systems, risk analysis helps decision maker determine the most serious risk items to allocate the optimal amount of resources and time. Probability-impact (PI) matrix is one of the most popular methods for assessment of the risks involved in the system. However, the traditional PI matrix is criticized for its inability to take into account the inherent uncertainty imposed by real-world systems. On the other hand, fuzzy sets are capable of handling the uncertainty. Thus, in this paper, fuzzy risk assessment model is developed in order to assess risk and management for electricity distribution system asset protection. Finally, a comparison analysis is conducted to show the effectiveness and the capability of the new risk assessment model.
Reference Key
yazdani2014decisiona Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Alireza Yazdani;Shahram Shariati;Abdolreza Yazdani-Chamzini
Journal british journal of midwifery
Year 2014
DOI
10.5267/j.dsl.2014.3.003
URL
http://www.growingscience.com/dsl/Vol3/dsl_2014_10.pdf
Keywords
Fuzzy logic risk assessment ETC including tables

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