Calibration of the distribution network reliability model based on failure data. Case Study

Chernysheva, Anastasiia; Adamec, Vadim; Tulsky, Vladimir N.; Vanin, Artem

doi:10.1109/reepe.2019.8708769

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…Failure rate refers to units' failure per unit time while repair time refers to the number of repairs per unit time [15]. In most cases, the fault data is obtained from the historical data recorded which then are fitted through the selected distribution functions in order to see the graph pattern of the failure data [8]. Edimu et al [9] stated that the failure data is modelled by empirical models which are by standard PDF for the reliability performance analysis.…”

Section: Probability Distribution Functionmentioning

confidence: 99%

“…The reliability indices are used for the calculation of energy clarity by calculating the average system index. The main reliability indices used are system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI) and customer average interruption duration index (CAIDI) [8]. In most research, reliability performance analysis is analyzed based on the average customer interruption indices [9], which is based on the value of reliability indices.…”

Section: Introductionmentioning

confidence: 99%

“…In most research, reliability performance analysis is analyzed based on the average customer interruption indices [9], which is based on the value of reliability indices. System reliability indices can be obtained from customer reliability indices or directly from failure data [8]. However, this system reliability indices performance only provides information about the customers without underlying probability distribution which only show the numerical value of the overall system performance without showing the specific changes of the reliability analysis in the stated duration.…”

Section: Introductionmentioning

confidence: 99%

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Reliability performance of distribution network by various probability distribution functions

Fauzi

Roslan

Ridzuan

2023

IJECE

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Electricity is one of the essential sources for the daily basis activities. The continuous electricity supplied to the customers is one of the main goals for electricity provider. Reliability is one of the main aspects that is focused more on the planning of the power system especially in distribution network. The performance of reliability in the system is evaluated with three main reliability indices: system average interruption frequency index, system average interruption duration index, and customer average interruption duration index. These indices will only give information about the overall condition of the power system without showing the details about the specific of the consumers such as the amount interruptions experienced by customer in the system. In this paper, probability distribution function (PDF) observing the behavior of the components in the system is used in the reliability analysis. Weibull distribution, also known as Weibull family, is one of the most common PDF used in reliability analysis. As Weibull distribution is also related to several distributions, such as exponential and Rayleigh, these types of distributions are applied in the output reliability analysis to observe the performance of reliability in the system. IEEE 9-bus is used as distribution network and carried out using Monte-Carlo simulation.

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Section: Probability Distribution Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reliability performance of distribution network by various probability distribution functions

Fauzi

Roslan

Ridzuan

2023

IJECE

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“…In addition, indices like Loss of Load Cost (LOLC), Maximum Continuous Interruption Duration (MCID), and Expected Interruption Cost (ECOST) are also specific in some countries, such as Brazil, and are not as general as previously mentioned ones [16][17][18].…”

Section: Reliability Criteria Of Pdnsmentioning

confidence: 99%

A Simple PSO-Based Method for Power Distribution System Components Reliability Parameters Calibration

Shojaeian

Rizi

2021

Acta Marisiensis. Seria Technologica

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In this paper, a proposed algorithm based on Particle Swarm Optimization (PSO) is used to present a simple method for data calibration of reliability indices in electrical power distribution networks. The main feature of the proposed method is its comprehensiveness, since the whole reliability indices can be calibrated using a proper objective function. In order to evaluate the effectiveness of the suggested algorithm, calculations are made on the well-known IEEE-RBTS Bus2 test system. The results confirm the simplicity and validation of the proposed method, and verify that by applying the proposed method, the computation speed for data calibration can be reduced as well.

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Research on the Impact of Extreme Weather on Freshwater Fishery Power Grid Based on Resilience Analysis

Lin

Liu

et al. 2022

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)

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Calibration of the distribution network reliability model based on failure data. Case Study

Cited by 3 publications

References 3 publications

Reliability performance of distribution network by various probability distribution functions

Reliability performance of distribution network by various probability distribution functions

A Simple PSO-Based Method for Power Distribution System Components Reliability Parameters Calibration

Research on the Impact of Extreme Weather on Freshwater Fishery Power Grid Based on Resilience Analysis

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