Comprehensive assessment of the technical condition of the 10 kV rural electrical network using the MATLAB software at various load factors of the 10/0.4 kV transformer substation

Sergey Ivanovich Belov; Andrey Alexandrovich Tsedyakov; Mikhail Mikhailovich Galkin

doi:10.1117/12.2642911

6 July 2022 Comprehensive assessment of the technical condition of the 10 kV rural electrical network using the MATLAB software at various load factors of the 10/0.4 kV transformer substation

Sergey Ivanovich Belov, Andrey Alexandrovich Tsedyakov, Mikhail Mikhailovich Galkin

Author Affiliations +

Proceedings Volume 12296, International Conference on Remote Sensing of the Earth: Geoinformatics, Cartography, Ecology, and Agriculture (RSE 2022); 122960K (2022) https://doi.org/10.1117/12.2642911
Event: International Conference on Remote Sensing of the Earth: Geoinformatics, Cartography, Ecology, and Agriculture, 2022, Dushanbe, Republic of Tajikistan

Abstract

The article presents the results of a comprehensive assessment of the technical condition of a rural medium voltage electrical network, performed using the MATLAB software package. Simulation modeling of the steady state mode of the rural electrical network has been carried out for various load factors of transformer substations 10/0.4 kV. Calculation of electrical energy losses in overhead lines 10 kV, transformer substations 10/0.4 kV. The damage from the undersupply of electrical energy and the damage from the low quality of the voltage are also estimated. As a result of the experiments, it was revealed that the main share of the costs falls on the damage from the undersupply of electrical energy, and therefore, a set of measures is required to reduce the number of emergency outages of consumers.

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Sergey Ivanovich Belov, Andrey Alexandrovich Tsedyakov, and Mikhail Mikhailovich Galkin "Comprehensive assessment of the technical condition of the 10 kV rural electrical network using the MATLAB software at various load factors of the 10/0.4 kV transformer substation", Proc. SPIE 12296, International Conference on Remote Sensing of the Earth: Geoinformatics, Cartography, Ecology, and Agriculture (RSE 2022), 122960K (6 July 2022); https://doi.org/10.1117/12.2642911

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