Reliability measurement for mixed mode failures of 33/11 kilovolt electric power distribution stations.

The reliability of the electrical distribution system is a contemporary research field due to diverse applications of electricity in everyday life and diverse industries. However a few research papers exist in literature. This paper proposes a methodology for assessing the reliability of 33/11 Kilovolt high-power stations based on average time between failures. The objective of this paper is to find the optimal fit for the failure data via time between failures. We determine the parameter estimation for all components of the station. We also estimate the reliability value of each component and the reliability value of the system as a whole. The best fitting distribution for the time between failures is a three parameter Dagum distribution with a scale parameter [Formula: see text] and shape parameters [Formula: see text] and [Formula: see text]. Our analysis reveals that the reliability value decreased by 38.2% in each 30 days. We believe that the current paper is the first to address this issue and its analysis. Thus, the results obtained in this research reflect its originality. We also suggest the practicality of using these results for power systems for both the maintenance of power systems models and preventive maintenance models

Estimated scale and shape parameters of Dagum distribution for each component.

<p>Estimated scale and shape parameters of Dagum distribution for each component.</p

The summary of goodness of fit sorted by rank resulting from the <i>Kolmogorov-Smirnov</i> test.

<p>^♠: No answer.</p

Time between failures of the electric power distribution station for five years.

<p>Time between failures of the electric power distribution station for five years.</p

The failure functions of TBFs data of a Dagum random variable with

<p><b>, </b><b> and </b><b>, (a) Pdf, (b) CDF, (c) Reliability function and (d) Hazard function.</b></p

The fitting result for best six distributions of TBFs histogram.

<p>The fitting result for best six distributions of TBFs histogram.</p

Estimated reliability system values of the electric power distribution station for 30 days.

<p>Estimated reliability system values of the electric power distribution station for 30 days.</p

The details for goodness of fit for a Dagum distribution (3P).

<p>The details for goodness of fit for a Dagum distribution (3P).</p

The Dagum distribution fitting result with TBFs data histogram.

<p>The Dagum distribution fitting result with TBFs data histogram.</p