Estimation of Power Distribution Reliability Indices Based on Limited Maintenance Data


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Abstract


Reliability is a key issue in the design and operation of power distribution system. Reliability indices such as SAIDI and SAIFI measure the overall reliability of the system which can be used to establish or optimize the maintenance strategies for distribution system. However, calculating these indices are challenging due to the availability of appropriate and sufficient information and data. One of the basic inputs for calculation of reliability indices is the number of the customers which have been affected per each interruption. In some cases the undistributed energy for each interruption and average customer’s consumption can be used to calculate the number of customers per each interruption. In this study such approach is illustrated by a case study
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Keywords


Reliability Indices; Distribution system; Maintenance dataReliability Indices; Distribution System; Maintenance Data

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References


W. Li, Reliability Assessment of Electrical Power Systems Using Monte Carlo Methods (Springer, US, 1994)

A.M. Leite Da Silva, A. Cassula, R. Billinton, L. Manso, Integrated Reliability Evaluation of Generation, Transmission and Distribution Systems, Generation, Transmission and Distribution, IEE Proceedings, vol.149 n.1, Jan 2002, pp.1-6.

T. Lantharthong, , N. Phanthuna, Techniques for Reliability Evaluation in Distribution System Planning, Proceedings of world Academy of Science, Engineering and Technology, vol. 64, 2012, pp. 391-395.

A. Chowdhury, D. Koval, Power Distribution System Reliability: Practical Methods and Applications (John Wiley & Sons, 2011).

R.E. Brown, Electric Power Distribution Reliability ( CRC Press, 2002).

A. Barabadi, Reliability model selection and validation using Weibull probability plot-A case study, Electric Power Systems Research, vol. 101, pp. 96-101.

IEEE Std 1366-2012(Revision of IEEE Std 1366-2003), IEEE Guide for Electric Power Distribution Reliability Indices, (The Institute of Electrical and Electronics Engineers, Inc. 2012.)

N. Amjady, M. Ehsan, Evaluation of Power Systems Reliability by an Artificial Neural Network, Power Systems, IEEE Transactions on, vol.14 n.1, Feb 1999, pp.287-292.

R. Billinton, P. Wang, Teaching distribution system reliability evaluation using Monte Carlo simulation, Power Systems, IEEE Transactions on , vol.14 n.2, May 1999, pp.397-403.

A. Barabadi, Reliability and spare parts provision considering operational environment: A Case Study, International Journal of Performability Engineering, vol. 8 n. 5, September 2012, pp. 497-506.

R. Billinton, R. N. Allan, Reliability Evaluation of Power Systems (Plenum press New York, 1984).

C.M. Warren, The effect of reducing momentary outages on distribution reliability indices, Power Delivery, IEEE Transactions on, vol 7 n.3, 1992, pp. 1610-1617

IEEE Std 1366-1998, IEEE Guide for Electric Power Distribution Reliability Indices (The Institute of Electrical and Electronics Engineers, Inc. 1999).

IEEE Std 1366-2003 (Revision of IEEE Std 1366-1998), IEEE Guide for Electric Power Distribution Reliability Indices (The Institute of Electrical and Electronics Engineers, Inc. 2004).

C.A. Warren, R. Ammon, G. Welch, A survey of distribution reliability measurement practices in the US, Power Delivery, IEEE Transactions on , vol.14 n.1, Jan 1999, pp.250-257.


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