Research of the quality of functioning of low-voltage electric devices as a part of electrical complexes

THE PURPOSE. To investigate the problem of evaluating the energy-efficient operation of low-voltage switching devices installed in electrical complexes, to analyze the current state of the Russian market of electrical devices and to develop an algorithm and models of the main technical characteristics of circuit breakers of electromagnetic starters and contactors of various manufacturers.

METHODS. In solving this problem, the ratio of the nominal current of the device and the resistance of contacts and contact connections of devices of some manufacturing plants is investigated. The analysis of experimental data showed what kind of functional dependences of contact resistances on the rated current have.

RESULTS. Approximating functions have been developed based on the results of experimental studies of the value of contact resistances from the main nominal parameters of automatic machines, electromagnetic starters and contactors of some manufacturers.

CONCLUSION. The article develops an algorithm and models for evaluating the energy efficiency of operation of low-voltage electrical devices, allowing to specify the amount of power (electricity) losses in equipment and recommended to increase the reliability of calculating electricity losses in low-voltage networks of electrical complexes.

1. Gracheva EI, Naumov OV. Loss of electricity and the effectiveness of the operation of equipment workshop networks. Monograph. M .: RUSAINS, 2017. 168 p.

2. 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.

3. Gracheva 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.

4. Gracheva 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

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

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

7. Abdullazyanov EYu, Gracheva EI, Gorlov AN, et al. Influence of low-voltage electrical devices and electrical equipment parameters on electricity losses in shop networks. Problems of power engineering. 2021;3:3-13.

8. Varnavsky KA, Matveev VN. Analysis of ways to improve the efficiency of operation of power supply systems of industrial enterprises. Promyshlennaya energetika. 2016;4:14-18.

9. Gayibov TSh, Eshonkulov EB, Aitbayev NA. Equivalence of searching for optimal values of regulated parameters when minimizing power losses in electric networks. Exact science. 2018;31:15-18.

10. Vlasyuk IV, Paramonov SYu, Belov SI. Improving the operational reliability of circuit breakers in networks with a voltage of 0.4 kV, used in the agro-industrial complex. International Technical and Economic Journal. 2018;1:51-58.

11. Egorov EG, Ivanova SP, Luiya NYu, Afanasyev AV, et al. Investigation of the breaking capacity of automatic circuit breakers in the short-circuit mode. Electrical engineering. 2018;8:12-15.

12. Kolodyazhny VV. Possibilities of modern automatic circuit breakers. Power plants and technologies. 2016;2(1):43-49.

13. 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.

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

15. Afrakhte H, Bayat P. Energy management system for smart house with multi-sources using Pi-Ca controller. 4th lranian Conference on Renewable Energy and Distributed Generation, ICREDG. 2016. 4. pp. 24-31.

16. Lin X, Lei Y, Zhu Y. A Novel Superconducting magnetic Energy Storage system design based on a Three-Level T-type Converter and ITS Energy-Shaping Control Strategy. Electric Power Systems Research. 2018;162:64-73/

17. Zhang Q., Ma D., Zhang H. A Novel Energy Function-Based Stability Evaluation and Nonlinear Control Approach for Energy Internet Sun. 2017. IEEE Transactions on Smart Grid 8. 2017 (3):1195-1210.

18. Smart Power Grids - Talking about a Revolution. IEEE Emerging Technology Portal, 2009 г.