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Fuzzy logic‐based concept for high‐voltage substation risk management against lightning
Author(s) -
Grujić Aleksandra,
Stojković Zlatan
Publication year - 2016
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22233
Subject(s) - fuzzy logic , risk management , software , computer science , reliability engineering , scope (computer science) , sensitivity (control systems) , electric power system , lightning (connector) , visualization , engineering , risk analysis (engineering) , data mining , artificial intelligence , electronic engineering , power (physics) , programming language , medicine , physics , management , quantum mechanics , economics
This paper presents the methodology, algorithms, and application of the expanded version of the software tool formed by means of the powerful AutoCAD software and the programming language Visual Basic, enabling both the estimation and visualization of the 3D lightning protection (LP) zone for a high‐voltage substation (HVS) and risk management against lightning. Although HVS is outside the scope of IEC 62305‐2, its methodology is adapted in this paper to the case of HVS. The approximate reasoning algorithm for risk management against lightning is based on the implementation of fuzzy sets that describe the measure of the HVS LP and the corresponding risk. Sensitivity analysis pertaining to the risk from the lightning flash (LF) and the corresponding economic evaluation have been carried out for the actual 220 and 110 kV HVSs in function of the impulse current magnitude and protective measure implementation. The formed software tool application enables the formation of the map of risk in the function of the considered facility and the impulse current of the LF, which will represent the constituent part of the future information system of electric power transmission and distribution organizations intended for risk management. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.