Issue |
E3S Web Conf.
Volume 114, 2019
International Conference of Young Scientists “Energy Systems Research 2019”
|
|
---|---|---|
Article Number | 03001 | |
Number of page(s) | 8 | |
Section | Reliability and Safety of Energy Systems | |
DOI | https://doi.org/10.1051/e3sconf/201911403001 | |
Published online | 04 September 2019 |
Improving the efficiency of electric network equipment operational service
Novosibirsk State Technical University, Karl Marks str. 20, Novosibirsk, Russia
Maintenance and repair (M&R) of electric network equipment is one of the crucial methods for reliable power supplying. For implementing the condition based maintenance strategy is necessary to solve a number of problems, including prioritizing of preventive measures order and determining optimal time of their periodic. This paper points out two specific aspects: 1) development of an adequate reliability simulation model to optimize the operational factors of electric network equipment; 2) advantages of the proposed M&R optimization methodology in the operational process of real distribution system. Developed probabilistic mathematical model of M&R allows determining criteria for obtaining the optimal solution according to the results of numerical calculations procedures. Described mathematical model is based on the theory of controlled Markov processes. This mathematical method allows describing “ageing” systems. The main advantages of the model are the possibility of considering all random processes for described type of equipment and obtaining the analytical solutions for basic reliability and economical indexes. Based on this, the criterions and strategy for choosing an optimal time intervals of M&R procedures have been formed. Improving the efficiency of M&R of electrical equipment is considered on a real distribution network.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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