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The duration of the restoration of power supply in the non-automated 6-10 kV distribution networks can be in the range of 3-10 or more hours. About 60% of this time goes to the search and localization of the damaged site and only 40% of the time is occupied by repair work. Improving the reliability of power supply is associated with network partitioning with the help of automated decentralized managed reclosers. Depending on the conditions of deployment and the chosen application of reclosers, it becomes necessary to determine the optimal locations for their location in the network. In solving the problem, the definition of optimization criteria is required: the total annual under-supply of electricity; the number and duration of customer shutdowns. The calculations taking into account the influence of the decentralized system of sectioning showed a decrease in the number and duration of cut-offs. Depending on the option of sectioning the lines, the total under-supply of electricity through the grid is reduced by 69.7-83.5%. The results of calculating the parameters influencing the reliability of power supply showed that in various sections of the configuration the reliability of the power supply to consumers of specific sections of the network varies not in proportion to the change in the total under-supply of electricity. Depending on the chosen optimization criterion, it is necessary to adhere to the proposed approaches to the choice of locations for placement of reclosers.


Recloser, decentralized control, distribution network, optimization, reliability criteria.

Vasilii G. Sazykin

D.Sc. (Eng.), Professor, the Department of application of electric energy, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia.

Alexander G. Kudryakov

Ph.D. (Eng.), Associate Professor, Department of application of electric energy, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia.

Alexander A. Bagmetov

Laboratory assistant, Department of application of electric energy, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia.

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