Determining the Optimal Location for Multi-Contact Switching Systems

The paper highlights that integrating distributed power generation facilities into power supply systems for rural consumer with voltage up to 1000 volts leads to the challenges in managing the confguration of the associated electrical grids. To manage the configuration of power supply systems for rural consumers with voltage up to 1000 volts, it is proposed to use multicontact switching systems. However, there are currently no established methods or criteria for determining optimal locations for multi-contact switching systems in power supply systems for rural consumers with voltage up to 1000 volts that include distributed generation facilities. (Research purpose) The study aims to develop a method for determining the optimal placement of multicontact switching systems in rural electrical grids with voltage up to 1000 volts that include distributed generation facilities. (Materials and methods) An analysis is conducted to evaluate the implementation of configuration management devices in the examined power supply systems. The study explores the impact of installing multi-contact switching systems and identifies the main types of damage caused by power supply interruptions for agricultural consumers. Additionally, a method was developed to determine the optimal placement of multi-contact switching systems. (Results and discussion) The paper demonstrates the practical application of the developed methodology through a case study on the reconstruction of a rural electrical grid with distributed generation facilities. Among the proposed options, the optimal location for placing multi-contact switching systems was selected. (Conclusions) The installation of multi-contact switching systems helps mitigate damage from power interruptions for rural consumers. The choice of optimal locations for multi-contact switching systems is influenced by various factors, any of which can be decisive, depending on the specific circumstances. The developed methodology enables a comprehensive evaluation of all relevant factors, allowing for the most appropriate choice to maximize the overall efficiency of the power supply system. Using the proposed methodology to determine the optimal location for multi-contact switching systems results in a 55 percents damage reduction in the rural electrical grid caused by power outages.

1. Vinogradov A.V., Lansberg A.A., Vinogradova A.V. Analysis of the configuration of 0.4 kV electrical grids of the Orel region. Electrical Technology and Equipment in the Agro-Industrial Complex.2023. Vol. 70. N4(53). 22-29 (In Russian). DOI: 10.22314/2658-4859-2023-70-4-22-29.

2. Nepsha F.S., Varnavskiy K.A., Voronin V.A. et. al. Integration of renewable energy at coal mining enterprises: problems and prospects. Journal of Mining Institute. 2023. Vol. 261. 455-469 (In English). EDN: LNSCEY.

3. Dorjiev S.S., Bazarova E.G., Rosenblum M.I., Morenko K.S. Multi-unit modular wind farm for areas of low wind potential. IOP. Science and Engineering. 2021. N1035. 012010 (In English). DOI: 10.1088/1757-899X/1035/1/012010.

4. Oussama B., Lechelah A., Chaouki I., Kalinin V.F. A novel multilevel inverter’s design and implementation based on photovoltaic systems. Transactions TSTU. 2022. Vol. 28. N1. 55-65 (In English). DOI: 10.17277/vestnik.2022.01. pp.055-065.

5. Loskutov A.B., Sosnina E.N., Loskutov A.A. A new approach to the construction of electric distribution networks in Russia. Bulletin of Belgorod State Technological University named after V.G. Shukhov. 2011. N3. 147-151 (In Russian). EDN: OAKHAX.

6. Byk F.L., Myshkina L.S., Kozhevnikov M.V. Improving the stability of power supply in regions on the basis of smart local energy systems. Economy of Regions. 2023. N19 (1). 163-177 (In Russian). DOI: 10.17059/ekon.reg.2023-1-13.

7. Ilyushin P.V., Muzalev S.G. Microgrid’s control system approaches. Relay protection and automation. 2016. N3(24). 39-45 (In Russian). EDN: XACPCH.

8. Golovinsky I.A., Londer M.I. Intelligent agents of operational dispatch control of electric networks. I. Elements of architecture. Proceedings of the Russian Academy of Sciences. Energy. 2014. N1. 91-101 (In Russian). EDN: SBKDRP.

9. Brilinsky A.S., Grunina O.I. Digitalization of distribution networks as a way to implement self-healing functions. Proceedings of the Scientific and Technical Center of the Unified Energy System. 2019. N1(80). 69-82 (In Russian). EDN: ACKJAF.

10. Haakana J., Lassila J., Kaipia T. et al. Comparison of reliability indices from the perspective of network automation devices. IEEE Transactions on Power Delivery. 2010. Vol. 25. Iss. 3. 1547-1555 (In English). DOI: 10.1109/PESGM.2012.6344642.

11. Da Silva L.G.W., Pereira R.A.F., Mantovani J.R.S. Allocation of protective devices in distribution circuits using nonlinear programming models and genetic algorithms. Electric Power Systems Research. 2004. Vol. 69. Iss. 1. 77-84 (In English). DOI: 10.1016/J.EPSR.2003.08.010.

12. Vinogradov A.V. Types of multi-contact switching systems. Agricultural machinery and energy supply. 2019. N2(23). 12-26 (In Russian). EDN: DTXXYZ.

13. Stoliarov S.V. Methodology for assessing material damage from break in electricity supply of large-scale agricultural organizations. Economics of Agriculture of Russia. 2022. N5. 28-31 (In Russian). DOI: 10.32651/225-28.

14. Vinogradov A.V., Vinogradova A.V., Skiteva I.D., Panfilov A.A. Comparative analysis of reliability of power supply by areas of electric grids. Innovations in agriculture. 2018. N3(28). 39-46 (In Russian). EDN: YLSZEL.

15. Vinogradov A., Bolshev V., Vinogradova A. et al. Analysis of the power supply restoration time after failures in power transmission lines. Energies. 2020. N13. 2736 (In English). DOI: 10.3390/en13112736.

16. Sazykin V.G., Kudryakov A.G., Bakhmetov A.A. Criteria for optimizing the installation site of a recloser in a 6-10 kV distribution grid. Electrotechnical Systems and Complexes. 2018. N1(38). 33-39 (In Russian). DOI: 10.18503/2311-8318-2018-1(38)-33-39.

17. Vinogradova A., Vinogradov A., Bolshev V. et al. Allocation of 0.4 kV PTL sectionalizing units under criteria of sensitivity limits and power supply reliability. Applied Sciences. 2021. Vol. 11. N24. 11608 (In English). DOI: 10.3390/app112411608.