Influence of low-voltage electrical switching and protecting devices and parameters of electrical equipment on electricity losses in workshop power supply networks

THE PURPOSE. To develop an algorithm for estimating electricity losses, taking into account the influencing factors in the main circuits of shop power supply. To study the influence of the main parameters of electrical equipment on the equivalent resistance of the distribution busbar. METHODS. We use element-by-element methods for calculating active power losses using equivalent resistance on the example of a section of the main circuit of the shop network. Factors affecting the equivalent busbar resistance, such as the root-mean-square load factor, the load graph shape factor, the resistance of the contact connections of switching devices, and the ambient temperature, are investigated. RESULTS. The values of the resistances of the branch lines from the busbar are calculated taking into account the heating of the conductors and the resistances of the circuit breakers and magnetic starters installed on the line during the element-by-element calculation. The relations in the value of the equivalent resistance of the busbar to the values of the resistances of the contact connections of low-voltage electrical devices installed on the branch lines from the busbar, the values of the resistances of the branch lines taking into account heating, the value of the resistance of the busbar and the values of the resistance due to the heating of the busbar are revealed. CONCLUSIONS. The share of each of the studied parameters in the value of the equivalent resistance of the busbar is determined. The value of the relative error in determining the equivalent resistance of the busbar depending on the number of connected electric receivers and taking into account the studied parameters is calculated. The estimation of the value of the electricity losses of the section of the main scheme of the shop network was carried out in accordance with the daily schedule of the load of consumers.

1. Gracheva EI, Shakurova ZM, Abdullazyanov RE. Comparative analysis of the most common deterministic methods for determining energy losses in workshop networks. Problems of Energy. 2019;5:87-96.

2. Gracheva EI, Gorlov AN, Shakurova ZM. Analysis and evaluation of energy savings in the systems of in-plant power supply. Energy problems. 2020;2:65-74.

3. Gracheva EI, Naumov OV. Loss of electricity and the effectiveness of the operation of equipment workshop networks. Monograph. M .: RUSAINS, 2017.168 p.

4. Vokhidov AD, Dadabaev ShT, Razokov FM. On the problems of improving the reliability of the power supply system of the first lift pumping station. Reliability. 2016;16;4 (59):36-39.

5. Dadabaev ShT. Development of a mathematical model of the control system of pumping units of the irrigation station of the first lift. Proceedings of the Tula State University. Technical sciences. 2017;9-1:532-536.

6. Petrov TI, Safin AR. Modification of the synchronous motor model for topological optimization. (2020) E3S Web of Conferences, 178, paper № 01016.

7. Feizifar B, Usta Ö. A new failure protection algorithm for circuit breakers using the power loss of switching arc incidents.Turkish Journal of Electrical Engineering & Computer Sciences. 2019;27(3):1982–1997. doi: https://doi.org/10.3906/elk-1805-84.

8. Lei C, Tian W, Zhang Y, Fu Ret, al. Probability-based circuit breaker modeling for power system fault analysis. IEEE Applied Power Electronics Conference and Exposition (APEC), Tampa, FL, USA, 2017. P. 979–984. doi: https://doi.org/10.1109/apec.2017.7930815.

9. Busom N, et al. Efficients martmetering based on homo morphicen cryption. Computer Communications. 2016;82:95-101.

10. Konyukhova EA. Design of power supply systems for industrial enterprises (theory and examples). Knorus Publishing House, 2016.

11. Tsvetkov AN, Kornilov VY, Safin AR, et al. An Experimental Bench for the Study of Electric Drives of a Horsehead Pump. Journal of Advanced Research in Dynamical and Control Systems (JARDCS) 05-special issue. 2020;V.12:1294-1298. doi: 10.5373/JARDCS/V12SP5/20201888.

12. Konyukhova EA. Economic-mathematical model of the working part of the power supply system of an object at medium and low voltage. Electricity. 2018, No. 9.

13. William H. Kersting Distribution System Modeling and Analysis. Second Edition. CRC Press, 2007.

14. Safin AR, Khusnutdinov RR, Kopylov AM, et al. Development of a method for topological optimization of electric machines based on a genetic algorithm. Bulletin of the KSEU, 2019;4 (40):77-85.

15. Lasso H, Ascanio C, Guglia M. A model for calculating technical losses in the secondary energy distribution network. IEEE/PES Transmission & Distribution Conference and Exposition: Latin America. 2006. p.1-6.

16. Safin A, Kopylov A, Gibadullin R, et al. Thermal Model of a Linear Electric Machine. 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA), Lipetsk, Russia. 2019. pp. 426-428.

17. Tashkhodjaev MI, Hodjiev AA. Prospects for the use of composite wires in the conditions of sharply continental climate. International techno-economic journal. 2018;1:91-97.

18. Tashkhodjaev MI. Application of high temperature composite wires in the conditions of sharply continental climate // Bulletin of the PITTU named after Academician M. Oshimi. Scientific and technical journal. 2017;1(2):30-35.