Electric charging station with accumulator energy storage system for charging dump trucks

This paper considers the joint operation of the electric charging station for mining dump trucks with the battery energy storage system to compensate the peak loads and consumption dips, which helps to improve the stability of power system operation, helps to improve the utilization rate of electrical equipment, and reduces the modernization costs of power system equipment. In order to fully realize the peak load compensation effect of the battery energy storage system, a strategy to directly control the charge and discharge of the battery energy storage system is proposed. Considering the limited battery capacity and limited grid power, a model is established to calculate the charge and discharge capacity of the energy storage system, which is dynamically centered between the lowest and highest points of the load power graph over time to realize the dynamic adjustment of the load boundary value to optimize the power distribution in the power system. According to different initial conditions, such as the capacity and power of an energy storage system of a battery energy storage system for a charging station of a quarry electric dump truck, its charging and discharging control is realized. The proposed charging station control method allows dynamic adjustment of load limits during charging and discharging of the energy storage battery system. It utilizes dynamic iterative algorithms for different energy storage configurations, thereby providing direct control of charging and discharging of the energy storage battery. At the same time, the number of charging and discharging of the battery can be effectively limited, which is useful for extending the lifetime of the hybrid charging station. It is contemplated to directly control the charging and discharging power of the hybrid charging station, which is aimed at maximizing the utilization of the energy storage capacity of the battery, and achieving peak load reduction.

Abramov E. Yu. Electric charging station with accumulator energy storage system for charging dump trucks. MIAB. Mining Inf. Anal. Bull. 2024;(11−1):222—238. [In Russ]. DOI: 10.25018/0236_1493_2024_111_0_222.

Abramov E. Yu., assistant, Novosibirsk State Technical University, 630073, Novosibirsk, K. Marx Ave., 20. e-mail: e.abramov@corp.nstu.ru, ORCID ID: 0000−0002−5013−3288.

1. Lindgren L., Grauers A., Ranggård J., Mäki R. Drive-Cycle Simulations of Battery Electric Large Haul Trucks for Open-Pit Mining with Electric Roads. Energies. 2022, vol. 15, no. 4871, pp. 1−19. DOI: 10.3390/en15134871.

2. Lingyu M., Guofa W., Khay W. Large-Scale Li-Ion Battery Research and Application in Mining Industry. Energies. 2022, vol. 15(11), pp. 1−31. DOI: 10.3390/en15113884.

3. Schatz R. S., Nieto A., Lvov S. N. Long-term economic sensitivity analysis of light duty underground mining vehicles by power source. International Journal of Mining Science and Technology. 2017, vol. 27, iss. 3, pp. 567−571. DOI: 10.1016/j.ijmst.2017.03.016.

4. Szurlej T., Ostapów L., Mendyka P. Functional structure of battery drive for selfpropelled mining rig used in room-pillar ore exploitation system. New Trends in Production Engineering. 2019, vol. 2, iss. 1, pp. 112−120. DOI: 10.2478/ntpe-2019−0012.

5. Välisalo T. Firefighting in case of Li-Ion battery fire in underground conditions: Literature study. VTT Technical Research Centre of Finland. VTT Research Report No. VTT-R-00066−19.

6. Shishkin P. V., Efremenkov E. A., Qi M. Development of a Mathematical Model of Operation Reliability of Mine Hoisting Plants. Mathematics. 2024, vol. 12, 1843. DOI: 10.3390/math12121843.

7. Tu A. N., Copp D. A., Byrne R. H., Chalamala B. R. Market Evaluation of Energy Storage Systems Incorporating Technology Specific Nonlinear Models. IEEE Transactions on Power Systems. 2019, vol. 34(5).

8. Shchurov N. I., Dedov S. I., Malozyomov B. V., Shtang A. A., Klyuev R. V., Andriashin S. N. Degradation of Lithium-Ion Batteries in an Electric Transport Complex. Energies. 2021, vol. 14, p. 8072. https://doi.org/10.3390/en14238072.

9. Filina O., Yashagina A., Salnikova O. Determination of the characteristic points of approximation for traction electric machines of electric rolling. Proceedings 2021 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2021. 2021, pp. 791–796.

10. Mohamed A. R., Best R. J., Liu X. A Comprehensive Robust Techno-Economic Analysis and Sizing Tool for the Small-Scale PV and АСНЭ[J]. IEEE Transactions on Energy Conversion. 2022, vol. 37(1), pp. 560–572.

11. Khalikov I. H., Kukartsev V. A., Kukartsev V. V., Tynchenko V. S., Tynchenko Y. A., Qi M. Review of Methods for Improving the Energy Efficiency of Electrified Ground Transport by Optimizing Battery Consumption. Energies. 2023, vol. 16, p. 729. DOI: 10.3390/ en16020729.

12. Sigrist L., Lobato E., Rouco L. Energy storage systems providing primary reserve and peak shaving in small isolated power systems: An economic& Energy Systems, assessment. International Journal of Electrical Power. 2013, vol. 53(1), pp. 675–683.

13. Zhang S., Mishra Y., Ledwich G. The operating schedule for battery energy storage companies in electricity market. Journal of Modern Power Systems & Clean Energy. 2013, vol. 1(3, pp. 275–284.

14. Cao B., Zhang Y., Shi Y., Ren R., Wu H., Zhang W., Wang D., Zhang T., Xiong J. Extracellular organic matter (EOM) distribution characteristic in algae electro-dewatering process. Journal of Environmental Management. 2020, vol. 265, p. 9. DOI: 10.1016/j. jenvman.2020.110541.

15. Gericke P. B., Gericke B. L. Formation of a single diagnostic criterion for evaluation of the technical condition of mining equipment. Mining equipment and electromechanics. 2021, no. 2, pp. 17–22. [In Russ]. DOI: 10.26730/1816−4528−2021−217−22.

16. Mazumdar J. All electric operation of ultraclass mining haultrucks. Industry Applications Society Annual Meeting, 2013 IEEE. 2013, pp. 1–5.

17. Voitovich E. V., Kononenko R. V., Konyukhov V. Y., Tynchenko V., Kukartsev V. A., Tynchenko Y. A. Designing the Optimal Configuration of a Small Power System for Autonomous Power Supply of Weather Station Equipment. Energies. 2023, vol. 16, 5046. DOI: 10.3390/en16135046.

18. Uno K., Imaie K., Maekawa K., Smith G., Suyama A., Hatori J. Development of mining machinery and future outlook for electrification. Hitachi Review. 2013, vol. 62, no. 2, pp. 99–106.

19. Konyukhov V. Y., Oparina T. A., Zagorodnii N. A., Efremenkov E. A., Qi M. Mathematical Analysis of the Reliability of Modern Trolleybuses and Electric Buses. Mathematics. 2023, vol. 11, 3260. DOI: 10.3390/math11153260.

20. Martyushev N. V., Sorokova S. N., Efremenkov E. A., Valuev D. V., Qi M. Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport. Mathematics. 2023, vol. 11, 3317. DOI: 10.3390/math11153317.

21. Sorokova S. N., Qi M. Mathematical Modeling of the State of the Battery of Cargo Electric Vehicles. Mathematics. 2023, vol. 11, 536. DOI: 10.3390/math11030536.