Reliability evaluation of distribution systems with nonexponential down times
This paper describes an analytical technique and a Monte Carlo simulation approach for determining the reliability indices of distribution systems. The proposed analytical method is based on the 'device of stages' technique so that the impact of equipment aging can be incorporated into the...
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| Veröffentlicht in: | IEEE transactions on power systems 1997-05, Vol.12 (2), p.579-584 |
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| container_end_page | 584 |
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| container_title | IEEE transactions on power systems |
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| creator | Asgarpoor, S. Mathine, M.J. |
| description | This paper describes an analytical technique and a Monte Carlo simulation approach for determining the reliability indices of distribution systems. The proposed analytical method is based on the 'device of stages' technique so that the impact of equipment aging can be incorporated into the model. Two types of stage configurations are described. For each configuration, the parameters of their probability density functions are estimated using the method of matching moments. The Monte Carlo simulation approach utilizes the component state duration sampling method. A computer program has been developed to implement these methods. The application of the concepts presented in the paper are illustrated by the analysis of a practical configuration. |
| doi_str_mv | 10.1109/59.589607 |
| format | Article |
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The proposed analytical method is based on the 'device of stages' technique so that the impact of equipment aging can be incorporated into the model. Two types of stage configurations are described. For each configuration, the parameters of their probability density functions are estimated using the method of matching moments. The Monte Carlo simulation approach utilizes the component state duration sampling method. A computer program has been developed to implement these methods. 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| ispartof | IEEE transactions on power systems, 1997-05, Vol.12 (2), p.579-584 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Aging Information analysis Information science Log-normal distribution Markov processes Monte Carlo methods Power system reliability Probability density function Senior members Student members |
| title | Reliability evaluation of distribution systems with nonexponential down times |
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