A fuzzy logic based approach to determine system well-being indices

A new approach is presented in this paper to determine the degree of system well‐being in the form of healthy, marginal and at risk state indices using the fuzzy logic concepts. Conventional well‐being method uses a crisp deterministic criterion to divide power system comfort zone into the healthy a...

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Bibliographic Details
Published in:European transactions on electrical power 2008-09, Vol.18 (6), p.636-654
Main Authors: Fotuhi-Firuzabad, Mahmud, Abiri-Jahromi, Amir
Format: Article
Language:English
Subjects:
Applied sciences
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
fuzzy criteria
healthy
marginal
Miscellaneous
Operation. Load control. Reliability
Power networks and lines
power system
reliability
risk
well-being
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Summary:A new approach is presented in this paper to determine the degree of system well‐being in the form of healthy, marginal and at risk state indices using the fuzzy logic concepts. Conventional well‐being method uses a crisp deterministic criterion to divide power system comfort zone into the healthy and marginal states. In this regard, the main drawback is associated with categorising the system performance in the comfort zone into the healthy and marginal states. To overcome this problem, a new approach is developed that categorises the states as healthy or marginal using fuzzy logic. The technique together with the effects on the system risk and the system health and margin probabilities of factors such as lead time, system peak load variation and load forecast uncertainty are illustrated by application to the IEEE‐RTS. Copyright © 2007 John Wiley & Sons, Ltd.
ISSN:1430-144X
1546-3109
DOI:10.1002/etep.215