Modeling the repair process of a power distribution system

• Main Authors: Zapata, C.J., Silva, S.C., Gonzalez, H.I., Burbano, O.L., Hernandez, J.A.
• Format: Conference Proceeding
• Language: English
• Subjects: Electronic mail; Maintenance; Maintenance engineering; Power distribution; power distribution reliability; Power system reliability; Probability distribution; Reliability; reliability modeling; Stochastic processes
• DOI: 10.1109/TDC-LA.2008.4641852

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.