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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zapata, C.J. Silva, S.C. Gonzalez, H.I. Burbano, O.L. Hernandez, J.A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Empresa de Energia del Casanare S. A, Yopal (Gonzalez, H.I.) || Univ. Tecnol. de Pereira, Pereira (Zapata, C.J.; Silva, S.C.; Burbano, O.L.) || Univ. de los Andes, Bogota (Hernandez, J.A.) |
| Abstract | One remedial action for improving service reliability in a power distribution system is to faster crew response to reduce outage durations. For planning activities, the application of this kind of remedial action requires the modeling of the repair process performed in the power distribution system. Thus, this paper presents a methodology which models the repair process performed in each service territory of a power distribution system using concepts of queuing theory and stochastic point processes and assesses the repair process performance by means of a procedure of sequential Monte Carlo simulation. Results of the application of this methodology to three power distribution systems show: 1. The input and service of the repair process model are not necessarily homogeneous Poisson processes; thus the Monte Carlo simulation method is required for the assessment of the repair process performance. 2. The index that better reflect the repair process performance is the mean waiting time. This methodology gives a base for the optimal scheduling of the repair resources in accordance with the failure process and the targets for reliability indices. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 2361053 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424422173 |
| DOI | 10.1109/TDC-LA.2008.4641852 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-13 |
| Publisher Place | Colombia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | power distribution reliability Power distribution Stochastic processes Maintenance engineering Probability distribution Power system reliability Electronic mail Maintenance Reliability reliability modeling |
| Content Type | Text |
| Resource Type | Article |
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