A Fuzzy-Based Power System Reliability Evaluation

Abdelaziz, A.R.

doi:10.1080/073135699269299

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…To overcome this critical problem, a methodology based on FL has been frequently proposed as a tool for directly manipulating the linguistic terms used in making the criticality assessment (Abdelaziz, 1999; Bowles and Pelaez, 1995a, b; Cayrac et al , 1996; Kieselbach, 1997; Moss and Woodhouse, 1999; Papic and Aronov, 1996; Pelaez and Bowles, 1994). With this methodology the linguistic terms that maintenance personnel employs in making a criticality assessment for a FMECA can be directly manipulated, with some advantages if compared to strictly numerical methods (Bowles and Pelaez, 1995a):…”

Section: Fmeca Theory and The Criticality Assessment Problemmentioning

confidence: 99%

Fuzzy criticality assessment model for failure modes and effects analysis

Braglia

Frosolini²,

Montanari³

2003

International Journal of Quality &Amp; Reliability Management

149

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This paper presents a tool for reliability and failure mode analysis based on an advanced version of the popular failure mode, effects and criticality analysis (FMECA) procedure. To help the analyst formulating efficiently effective criticality assessments of the possible causes of failure, the fuzzy logic technique is adopted. Particular attention has been devoted to support the maintenance staff with a fuzzy criticality assessment model easy to implement and design. To test the proposed methodology, an actual application concerning a process plant in milling field for human consumption flour is showed in the paper

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Section: Fmeca Theory and The Criticality Assessment Problemmentioning

confidence: 99%

Fuzzy criticality assessment model for failure modes and effects analysis

Braglia

Frosolini²,

Montanari³

2003

International Journal of Quality &Amp; Reliability Management

149

View full text Add to dashboard Cite

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“…Fuzzy logic is introduced to emulate language-based decision making [24,25]. Until now, it has been used for the reliability assessment procedure, describing the probability of the system states to reduce the simulation burden during the assessment [26][27][28][29]. The fuzzy sets are thereby used to represent the system states' probability, such as load distribution or wind speed probability.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The fuzzy sets are thereby used to represent the system states' probability, such as load distribution or wind speed probability. In some works [26][27][28], this goes directly into the assessment method; in others, the fuzzy logic is utilised together with the Monte Carlo simulation to incorporate uncertainties in the system description [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy‐based frequency security evaluation of wind‐integrated power systems

Steinkohl

Peyghami

Wang

et al. 2021

IET Energy Syst Integration

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The transition to renewable energy-based power systems is fast progressing. One of the main challenges in keeping a power system with high operational reliability is to maintain the system frequency. As synchronous generator units are being replaced with powerelectronic converters, the rotating mass and the system inertia are decreasing. Virtual synchronous machine (VSM) control is a modern control technique that aims to compensate for the reduction in inertia. The usage of power electronic-based converter units equipped with VSM control has to be managed and scheduled by system operators. An assessment of the operational frequency reliability is used to evaluate different service usages. A method is proposed that allows the comparison of different frequency management strategies. The proposed method uses fuzzy logic to evaluate the system risk for abnormal frequency and the system effort in the form of frequency control usage. This allows to quickly compare different frequency management strategies whilst keeping in mind many different reliability indices. The proposed method is validated with a modified IEEE Reliability Test System with integrated wind power capacity.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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“…Emergency response systems and emergency logistics for general activities are considered as an important component in smart cities. After unpredictable events, we need to make sure that emergency vehicles can reach the destination area in a timely manner, survivors and properties have been moved in order to increase the capacity of emergency response and reduce the loss of life and property [2].…”

Section: Introductionmentioning

confidence: 99%