Power systems reliability estimation method

The paper highlights the reliability estimation tool for power system's reliability estimation study. The reliability estimation tool was applied to the different configurations of Uninterruptible Power Supply (UPS) systems Capacity, Isolated Redundant, Parallel Redundant, Distributed Redundant, and System plus System Redundant configurations. UPS reliability parameters such as failure rates, Mean Time Between Failures, and Availability can be estimated from the proposed system's reliability estimation methods. The suggested reliability estimation methods in this paper are the Reliability Block Diagram (RBD) and the Monte-Carlo simulation methods. The UPS system reliability estimation study found that the System plus System Redundant configuration gives the highest reliability and availability values compared to all other configurations. Studies has been conducted to investigate the effects of the reliability level of every component in the UPS system onto the overall system's reliability, thus making it possible to rank their contribution to system's reliability and thereby useful in establishing the area of improvement in the design of the highest UPS system's reliability.

[1]  P. O'Connor,et al.  Practical Reliability Engineering , 1981 .

[2]  Chanan Singh,et al.  Reliability Evaluation of Emergency and Standby Power Systems , 1985, IEEE Transactions on Industry Applications.

[3]  William Knight,et al.  Uninterruptible Power Supplies and Standby Power Systems , 2003 .

[4]  P. Bonnefoi.  introduction to dependability design , 1990 .

[5]  Chanan Singh,et al.  Reliability analysis of electric supply including standby generators and uninterruptible power supply system , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[6]  Jorge L. Romeu,et al.  Practical Reliability Engineering , 2003, Technometrics.

[7]  Mohd Khairil Rahmat,et al.  Reliability and availability modelling of uninterruptible power supply systems using Monte-Carlo simulation , 2006 .

[8]  T. Suntio,et al.  DC UPS System's Reliability Performance: Facts And Fiction , 1997, The Second International Telecommunications Energy Special Conference.

[9]  J. M. Hawkins,et al.  New concepts of reliability in powering the customer access network , 1996, Proceedings of Intelec'96 - International Telecommunications Energy Conference.

[10]  Victor Avelar,et al.  Mean Time Between Failure: Explanation and Standards , 2010 .