Reliability and availability modelling of uninterruptible power supply systems using Monte-Carlo simulation

M. Rahmat, S. Jovanovic, K.L. Lo

Research output: Contribution to journalArticle

Abstract

The purpose of this paper is to describe and discuss an approach to estimate the Reliability and Availability values of the Uninterruptible Power Supply (UPS) systems using Monte-Carlo simulation method. In this method, the failure rates (), and availability (A) of the major components in the UPS are simulated by the use of random number generators that produces deterministic reliability parameters that try to mimic results that would be obtained from field trials. Reliability parameters such as the system's Failure Rates (), Mean Time Between Failures (MTBF), System Availability (A), and System Unavailability (W), can be achieved and thus can be used as an indication of the reliability level of the UPS systems. In this paper, the method are applied to five UPS configurations (online with and without bypass, offline, line-interactive with buck/boost transformer and line-interactive with ferroresonant transformer), and comparisons on the results obtained from this method were made to the results from other reliability estimation method such as the Reliability Block Diagram (RBD), Boolean Truth Table and Field Data estimation method.
Original languageEnglish
Pages (from-to)374-380
Number of pages6
JournalInternational Review of Electrical Engineering
Volume1
Issue number3
Publication statusPublished - 2006

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Uninterruptible power systems
Electric power systems
Availability
Monte Carlo simulation

Keywords

  • reliability modelling
  • power supply systems
  • Monte-Carlo simulation
  • electrical engineering

Cite this

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title = "Reliability and availability modelling of uninterruptible power supply systems using Monte-Carlo simulation",
abstract = "The purpose of this paper is to describe and discuss an approach to estimate the Reliability and Availability values of the Uninterruptible Power Supply (UPS) systems using Monte-Carlo simulation method. In this method, the failure rates (), and availability (A) of the major components in the UPS are simulated by the use of random number generators that produces deterministic reliability parameters that try to mimic results that would be obtained from field trials. Reliability parameters such as the system's Failure Rates (), Mean Time Between Failures (MTBF), System Availability (A), and System Unavailability (W), can be achieved and thus can be used as an indication of the reliability level of the UPS systems. In this paper, the method are applied to five UPS configurations (online with and without bypass, offline, line-interactive with buck/boost transformer and line-interactive with ferroresonant transformer), and comparisons on the results obtained from this method were made to the results from other reliability estimation method such as the Reliability Block Diagram (RBD), Boolean Truth Table and Field Data estimation method.",
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Reliability and availability modelling of uninterruptible power supply systems using Monte-Carlo simulation. / Rahmat, M.; Jovanovic, S.; Lo, K.L.

In: International Review of Electrical Engineering, Vol. 1, No. 3, 2006, p. 374-380.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Reliability and availability modelling of uninterruptible power supply systems using Monte-Carlo simulation

AU - Rahmat, M.

AU - Jovanovic, S.

AU - Lo, K.L.

PY - 2006

Y1 - 2006

N2 - The purpose of this paper is to describe and discuss an approach to estimate the Reliability and Availability values of the Uninterruptible Power Supply (UPS) systems using Monte-Carlo simulation method. In this method, the failure rates (), and availability (A) of the major components in the UPS are simulated by the use of random number generators that produces deterministic reliability parameters that try to mimic results that would be obtained from field trials. Reliability parameters such as the system's Failure Rates (), Mean Time Between Failures (MTBF), System Availability (A), and System Unavailability (W), can be achieved and thus can be used as an indication of the reliability level of the UPS systems. In this paper, the method are applied to five UPS configurations (online with and without bypass, offline, line-interactive with buck/boost transformer and line-interactive with ferroresonant transformer), and comparisons on the results obtained from this method were made to the results from other reliability estimation method such as the Reliability Block Diagram (RBD), Boolean Truth Table and Field Data estimation method.

AB - The purpose of this paper is to describe and discuss an approach to estimate the Reliability and Availability values of the Uninterruptible Power Supply (UPS) systems using Monte-Carlo simulation method. In this method, the failure rates (), and availability (A) of the major components in the UPS are simulated by the use of random number generators that produces deterministic reliability parameters that try to mimic results that would be obtained from field trials. Reliability parameters such as the system's Failure Rates (), Mean Time Between Failures (MTBF), System Availability (A), and System Unavailability (W), can be achieved and thus can be used as an indication of the reliability level of the UPS systems. In this paper, the method are applied to five UPS configurations (online with and without bypass, offline, line-interactive with buck/boost transformer and line-interactive with ferroresonant transformer), and comparisons on the results obtained from this method were made to the results from other reliability estimation method such as the Reliability Block Diagram (RBD), Boolean Truth Table and Field Data estimation method.

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KW - Monte-Carlo simulation

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JO - International Review of Electrical Engineering

JF - International Review of Electrical Engineering

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