A methodology to include real-life failure data in the failure rate estimation of power distribution systems

Authors

MOJTABA GILVANEJAD
HOSSEIN ASKARIAN ABYANEH
KAZEM MAZLUMI

DOI

10.3906/elk-1509-5

Abstract

Random failure rates are usually assumed as constant values in reliability calculations. In this paper, this topic is investigated using stochastic models of uncertain phenomena like lightning, cold load pickup, and overloading, which result in random failures. An algorithm is developed to estimate the random failure rates in distribution networks during their lifetime. This algorithm stochastically generates the random failures as well as sustained failures as a result of equipment wear-out state due to the aging process and finally estimates the total number of temporary/sustained failures in a period of the network lifetime. The results of applying this algorithm to a real case study show that there is slight time-dependency between the random failure rate of the network and its lifetime.

Keywords

Cold load pickup, lightning, overloading, random failure

First Page

1082

Last Page

1094

Recommended Citation

GILVANEJAD, MOJTABA; ABYANEH, HOSSEIN ASKARIAN; and MAZLUMI, KAZEM (2017) "A methodology to include real-life failure data in the failure rate estimation of power distribution systems," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25: No. 2, Article 33. https://doi.org/10.3906/elk-1509-5
Available at: https://journals.tubitak.gov.tr/elektrik/vol25/iss2/33