2004
DOI: 10.1016/j.ijepes.2004.07.004
|View full text |Cite
|
Sign up to set email alerts
|

A new approach to real-time reliability analysis of transmission system using fuzzy Markov model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
14
0

Year Published

2007
2007
2023
2023

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 28 publications
(14 citation statements)
references
References 9 publications
0
14
0
Order By: Relevance
“…Some of the aforementioned traditional methods have been adopted for real-time reliability evaluation. Tanrioven et al [10] developed a real-time power system reliability analysis method based on a fuzzy Markov model. Ching et al [11] proposed a new method to update real-time reliability based on data recorded by instruments and sensors installed on a system with stochastic simulation.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Some of the aforementioned traditional methods have been adopted for real-time reliability evaluation. Tanrioven et al [10] developed a real-time power system reliability analysis method based on a fuzzy Markov model. Ching et al [11] proposed a new method to update real-time reliability based on data recorded by instruments and sensors installed on a system with stochastic simulation.…”
Section: Introductionmentioning
confidence: 99%
“…Each method has its advantages and disadvantages. For example, Markov models have state space explosion problems [9,10,34]. The major limitation of stochastic simulation is that the monitoring value has to be a scalar; in real situations, however, many monitoring values usually exist [11].…”
Section: Introductionmentioning
confidence: 99%
“…The reliability concepts have extensively been incorporated into fuzzy computations in numerous cases [11][12][13][14][15]. It is well-accepted that a fuzzy perspective offers distinct advantages concerning the reliability issues; it considers the uncertainty of input data (failure rates, repair rates and so on).…”
Section: Introductionmentioning
confidence: 99%
“…Generally speaking, fuzzy reliability based on CFA has covered a wide variety of subjects in power systems [8,9,[11][12][13][14][15][16]. To provide secure operation of a power system, the ability of its protection systems must be investigated in depth and it is well-accepted that the reliability of a power system [18,19] is strongly related to the reliability of its relevant protection systems [20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…Although the failures are more likely to occur in the distribution network, failures in generation and transmission sections produce much more damages in the system, so they are more important [2]. Adequacy evaluation of generation and transmission system to properly supply the consumers' demand is defined as the reliability evaluation of composite systems [1].…”
Section: Introductionmentioning
confidence: 99%