Calculation of power losses in electrical networks with probabilistic specification of loads

Authors

  • Станислав Сергеевич Гиршин Omsk State Technical University, Omsk, Russia
  • Чаяна Павловна Монгуш Omsk State Technical University, Omsk, Russia
  • Сергей Владимирович Бирюков Omsk State Technical University, Omsk, Russia

DOI:

https://doi.org/10.25206/1813-8225-2018-157-31-35

Keywords:

power losses, losses of electricity, probability-statistical methods, Rayleigh law, mathematical expectation, mean-square current

Abstract

The paper considers the problem of calculating the power losses in a power transmission line with a probabilistic reference taking into account the temperature dependence of the resistance. A computational formula for power losses is constructed. There is constructed and analyzed dependence on power in the regime of deterministic and mathematical expectation of losses from the mathematical expectation of the current. As a result of the analysis of these dependencies, it is found that calculating the power losses in probabilistic form using the Rayleigh distribution gives the best results for not very large currents. At currents close to the allowed value, the effect of the curve begins to be predicted, where it is impossible to establish thermal equilibrium.

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Author Biographies

Станислав Сергеевич Гиршин, Omsk State Technical University, Omsk, Russia

кандидат технических наук, доцент (Россия), доцент кафедры «Электроснабжение промышленных предприятий».

Чаяна Павловна Монгуш, Omsk State Technical University, Omsk, Russia

аспирантка кафедры «Электроснабжение промышленных предприятий».

Сергей Владимирович Бирюков, Omsk State Technical University, Omsk, Russia

доктор технических наук, профессор (Россия), профессор кафедры «Физика».

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Abstract views: 7

Published

2018-03-07

How to Cite

[1]
Гиршин, С.С., Монгуш, Ч.П. and Бирюков, С.В. 2018. Calculation of power losses in electrical networks with probabilistic specification of loads. Omsk Scientific Bulletin. 1(157) (Mar. 2018), 31–35. DOI:https://doi.org/10.25206/1813-8225-2018-157-31-35.

Issue

Section

Electrical engineering. Power engineering

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