Algorithms for estimating equivalent resistances of in-plant electrical networks

THE PURPOSE. Investigation of the degree of influence of the characteristics of in- plant electrical networks on the reliability of the results in the algorithms for estimating equivalent resistances. METHODS. When solving this problem, a study of the radial power supply scheme of the tool shop section was carried out with the calculation and modeling of equivalent and reference values of the circuit resistances. Algorithms and methods for estimating the values of equivalent resistances have been developed, taking into account the main technical characteristics of in-plant networks.

RESULTS. The data of calculations of the equivalent resistance values of the circuits with an assessment of the heating factor of the conductors and the resistance factor of the contact devices are analyzed. The proportions of the influence of the resistances of the contact equipment and lines, taking into account the number of electric power receivers connected to the power point, on the value of the equivalent resistances of the circuit are revealed.

CONCLUSION. The article develops algorithms for estimating the values of equivalent resistances of in-plant power supply circuits. Nomograms are presented that take into account the number and length of the circuit lines with the allocation of the zone of accounting for the resistances of contact equipment in the equivalent resistances of the circuits. The obtained algorithms and results are recommended to be used to clarify the amount of power and electrical energy losses in the intra- factory networks, which will increase the reliability of calculations.

1. Grachieva EI, Naumov OV. Power losses and efficiency of functioning of equipment of shop networks. Monograph. Moscow: «Rusains», 201. 168 p.

2. Grachieva EI, Naumov OV, Gorlov AN, et al. Algorithms and probabilistic models of the parameters of the functioning of the intra-factory power supply. Energy problems. 2021;1:93- 104.

3. Grachieva EI, Shakurova ZM, Abdullazyanov RE. Comparative analysis of the most common deterministic methods for determining electricity losses in shop networks. Problems of power engineering. 2019;5:87-96

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

5. Grachieva EI, Gorlov AN, Shakurova ZM. Estimation of electric power losses in intra- factory electric networks. Bulletin of the PITTU named after Academician M. Osimi. 2019;4 (13):38-50

6. Safin AR, Khusnutdinov RR, Kopylov AM. 2019. The method topological optimization for design linear electric machines. Proceedings of Intern. Science and Technology Conference EastConf, 1–2 March 2019, Vladivostok, pp. 134–139.

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

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

9. Toshkhodzhayeva MI. Improving the reliability of the power supply system as a factor of sustainable provision of the national economy with electricity (on the example of Khujand, RT) / M. I. Toshkhodzhayeva. Bulletin of the TSUPBP. Social Sciences Series. 2015;3(3):71-77.

10. Toshkhodzhayeva MI. Calculation of electric networks with distributed generation by the two-node method on the example of consumers of industrial enterprises. Bulletin of the PITTU named after Academician M. Osimi. 2019;3(12):38-44

11. 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):77-85.12.

12. «Modification of the synchronous motor model for topological optimization» (2020) E3S Web of Conferences. 178. paper № 01016.

13. Bo T, Wei Q, Ze W. Monitoring IGBT's Health Condition via Junction Temperature Variations. In Proceedings of the 2014 IEEE Ap-plied Power Electronics Conference and Exposition - APEC 2014, Fort Worth, TX, USA. 16-20 March 2014. pp.2550-2555.

14. Cazacu E. Losses and temperature rise within power transformers subjected to distorted currents.15th International Conference on Electrical Machines, Drives and Power Systems (ELMA). 2017. pp.192-196.

15. Dupont I, Avenas Y. Preliminary evaluation of thermo-sensitive electrical parameters based on the forward voltage for online chip temperature measurements of IGBT devices. IEEE Trans. Ind. Appl. 2015;51:4688-4698.

16. Gheorghita CM, Adam M. About contact resistance of the electrical equipment.2017 International Conference on Modern Power Systems (MPS).Cluj-Napoca. 2017. pp. 298-301.

17. He X, Guo A. A traction three-phase to single-phase cascade converter substation in an advanced traction power supply system. Energies, 2015;8(9):9915-9929.

18. Souza RT, Costa EG. Characterization of contacts degradation in circuit breakers through the dynamic contact resistance, Transmission & Distribution Conference and Exposition. Latin America (PES T&D-LA). Medellin. 2014. pp.367-370

19. Shaodi H, Li X. Early warning of electric equipment current-carrying fault based on equivalent resistance analysis. Chinese Journal of Scientific Instrument, 2016;34(3):541-546.

20. Shin D, Golosnoy IO, McBride JW. Advanced Aircraft Power Electronics Systems the impact of simulation, standards and wide band-gap devices. IEEE Transactions on Cjmponents, Pfckagingand Manufacturing Technology, 2018. pp.1-8

21. Choi UM, Blaabjerg F, Lannuzzo F. Junction temperature estimation method for a 600 V, 30 a IGBT module during converter operation. Microelectron.Reliab. 2015;55:2022-2026.