Risk Level Evaluation for Power System Facilities in Smart Grid

Reliability Centered Maintenance(RCM) is one of most widely used methods in the modern power system to schedule a maintenance cycle and determine the priority of inspection. In order to apply the RCM method to the Smart Grid, a precedence study for the new structure of rearranged system should be performed due to introduction of additional installation such as renewable and sustainable energy resources, energy storage devices and advanced metering infrastructure. This paper proposes a new method to evaluate the priority of maintenance and inspection of the power system facilities in the Smart Grid using the Risk Priority Number. In order to calculate that risk index, it is required that the reliability block diagram should be analyzed for the Smart Grid system. Finally, the feasible technical method is discussed to estimate the risk potential as part of the RCM procedure.

Authors:

• Sung-Hun Lee
• Yun-Seong Lee
• Jin-O Kim

Keywords:

• Expert System
• FMECA
• Fuzzy Theory
• Reliability Centered Maintenance
• Risk Priority Number

References:

[1] J, Moubra , "Reliabiltiy-Centered Maintenance", Butterworth-
Hinemann, 1995.
[2] John B. Bowles, "An Assessment of RPN Prioritization in a Failure
Modes Effects and Criticality Analysis", Proceedings Annual
Reliability and Maintainability Symposium, 2003.
[3] Kai Meng Tay, Chee Sing Teh, David Bong, "Development of a
Fuzzy-logic-based Occurrence Updating model for Process FMEA",
Proceedings of the International Conference on Computer and
Communication Engineering , 2008.
[4] Hai-Chao Ran, Li-Hua Sun, Ying-Jun Guo, Jin-Feng Zhang, "A Fuzzy
Method For Risk Quantitative Analysis of System Failure",
Proceedings of the 5th International Conference on Machine Learning
and Cybernetics, 2006.
[5] Dong Yuhua, Yu Datao, "Estimation of failure probability of oil and
gas transmission pipelines by fuzzy fault tree analysis", Journal of
Loss Prevention in the Process Industries, No.18, 2005, p83-88.
[6] Tong Wu, Guangyu Tu, Z Q Bo and A Klimek, "Fuzzy set theory and
fault tree analysis based method suitable for fault diagnosis of power
transformer", Intelligent Systems Applications to Power Systems, 2007.
[7] Sadaaki Miyamoto, "Fuzzy Sets in information retrieval and cluster
analysis", Kluwer Academic Publishers, 1990.