Uncertainty Consideration in Power System Reliability Indices Assessment Using Fuzzy Logic Method

Fotuhi, M.; Ghafouri, Alireza

doi:10.1109/lescpe.2007.4437398

Cited by 7 publications

(5 citation statements)

References 9 publications

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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%

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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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Section: Literature Reviewmentioning

confidence: 99%

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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“…Fuzzy sets theory, whose rules are defined based on human logic and experts' skill, can model the uncertainty, mathematically. In [17], a fuzzy logic based method is applied to calculate reliability indices for generation and transmission systems. In [18], fuzzy sets theory is applied in reliability assessment for planning purpose, and the highest risk feeders are determined for remedial actions.…”

Section: Introductionmentioning

confidence: 99%

Reliability assessment of distribution system using fuzzy logic for modelling of transformer and line uncertainties

Shokrollahi¹,

Sangrody

Motalleb

et al. 2017

2017 North American Power Symposium (NAPS)

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Abstract-Reliability assessment of distribution system, based on historical data and probabilistic methods, leads to an unreliable estimation of reliability indices since the data for the distribution components are usually inaccurate or unavailable. Fuzzy logic is an efficient method to deal with the uncertainty in reliability inputs. In this paper, the ENS index along with other commonly used indices in reliability assessment are evaluated for the distribution system using fuzzy logic. Accordingly, the influential variables on the failure rate and outage duration time of the distribution components, which are natural or human-made, are explained using proposed fuzzy membership functions. The reliability indices are calculated and compared for different cases of the system operations by simulation on the IEEE RBTS Bus 2. The results of simulation show how utilities can significantly improve the reliability of their distribution system by considering the risk of the influential variables.

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“…From the uncertainty point of view, the reliability analysis in HLIII is more affected by unpredicted events and thus can be a more challenging issue in the power system analysis. In this regard, according to the failure statistics, most of the failures in a typical power system occur in the distribution systems [24]. This situation demonstrates the necessity of re-assessment of the traditional reliability evaluation techniques especially in the voltage level of distribution.…”

Section: Introductionmentioning

confidence: 99%

Consideration effect of uncertainty in the reliability indices of power systems using a scenario-based approach

Abbasi

Solookinejad

Fard

et al. 2015

Journal of Intelligent &Amp; Fuzzy Systems

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In power systems, reliability evaluations mainly depend on the precise forecasting of the reliability parameters of the internal components. Nonetheless, the procedure of calculating the reliability parameters such as failure rate and repair rate parameters is based on the failure statistics and measurements which can cause much inherent uncertainty and thus affecting the reliability indices of the system. Therefore, the main purpose of this work is to suggest a sufficient and easy-implemented approach based on scenario production to capture the uncertainty of the reliability parameters including the failure rate and repair rate variables. Here, the scenario generation process is constructed using the roulette wheel mechanism along with the probability density function of the random variables. Then, the proposed scenario based approach makes use of a scenario reduction mechanism to avoid high computational burden. This aspect of the proposed stochastic framework makes it useful for the optimization applications which require iterative analysis. In order to see the feasibility and satisfying performance of the proposed framework, an IEEE standard test system is used as the case study.

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Uncertainty Consideration in Power System Reliability Indices Assessment Using Fuzzy Logic Method

Cited by 7 publications

References 9 publications

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

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

Reliability assessment of distribution system using fuzzy logic for modelling of transformer and line uncertainties

Consideration effect of uncertainty in the reliability indices of power systems using a scenario-based approach

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