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Electrical Automatic Control System Based on the Internet of Things

  • Jiyong, Jin (School of Mechatronics Engineering, Zhongyuan University of Technology)
  • Received : 2022.04.29
  • Accepted : 2022.10.14
  • Published : 2022.12.31

Abstract

Grid-connected distributed power generation has been widely used in green energy generation. However, due to the distributed characteristics, distributed power generation is difficult to be dynamically allocated and monitored in the electrical control process. In order to solve this problem, this research combined the Internet of Things (IoT) with the automatic control system of electrical engineering to improve the control strategy of the power grid inverter according to the characteristics of the IoT system. In the research, a connection system of the power grid inverter and the IoT controller were designed, and the application effect was tested by simulation experiments. The results showed that the power grid inverter had strong tracking control ability for current and power control. Meanwhile, the electrical control system of the IoT could independently and dynamically control the three-phase current and power. The given value was reached within 50 ms after the step signal was input, which could protect the power grid from being affected by the current. The overall system could realize effective control, dynamic control and protective control.

Keywords

Acknowledgement

This research was supported by the China Textile Industry Federation Higher Education Teaching Reform Research Project (No. 2021BKJGLX505).

References

  1. B. Hu, Z. Chen, Z. Zhang, S. Liu, and W. Deng, "Model predictive flexible power control for grid-connected inverter under unbalanced network," IET Power Electronics, vol. 13, no. 16, pp. 3580-3589, 2020. https://doi.org/10.1049/iet-pel.2020.0242
  2. H. Tang, K. Lv, B. Bak-Jensen, J. R. Pillai, and Z. Wang, "Deep neural network-based hierarchical learning method for dispatch control of multi-regional power grid," Neural Computing and Applications, vol. 34, pp. 5063-5079, 2022. https://doi.org/10.1007/s00521-021-06008-4
  3. H. Kim, J. Park, and H. Jung, "Automatic control system based on IoT data identification," Indonesian Journal of Electrical Engineering and Computer Science, vol. 19, no. 3, pp. 1525-1532, 2020.
  4. A. H. Bagdadee, M. Z. Hoque, and L. Zhang, "IoT based wireless sensor network for power quality control in smart grid," Procedia Computer Science, vol. 167, pp. 1148-1160, 2020. https://doi.org/10.1016/j.procs.2020.03.417
  5. G. Milan, L. Vassio, I. Drago, and M. Mellia, "RL-IoT: reinforcement learning to interact with IoT devices," in Proceedings of 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), Barcelona, Spain, 2021, pp. 1-6.
  6. W. Zhu, Z. Wang, and Z. Zhang, "Renovation of automation system based on Industrial Internet of Things: a case study of a sewage treatment plant," Sensors, vol. 20, no. 8, article no. 2175, 2020. https://doi.org/10.3390/s20082175
  7. P. Thakur and V. K. Sehgal, "Emerging architecture for heterogeneous smart cyber-physical systems for industry 5.0," Computers & Industrial Engineering, vol. 162, article no. 107750, 2021. https://doi.org/10.1016/j.cie.2021.107750
  8. A. Bernadic, I. Brnadic, V. Grude, and Z. Leonowicz, "Impact of characteristics of block-transformers on inrush currents and voltage distortions at the connection point of wind parks," in Proceedings of 2012 11th International Conference on Environment and Electrical Engineering, Venice, Italy, 2012, pp. 59-63.
  9. V. N. Sheludko, Y. V. Sentyabrev, and A. V. Grigoriev, "Electrical engineering strategy," Russian Electrical Engineering, vol. 92, no. 3, pp. 123-128,
  10. R. Lu, N. Liu, D. Li, X. Luo, and Y. Fan, "Intelligent monitoring analysis of power grid monitoring information based on big data mining," Journal of Physics: Conference Series, vol. 1992, article no. 032132, 2021. https://doi.org/10.1088/1742-6596/1992/3/032132
  11. S. Nakamura, T. Enokido, and M. Takizawa, "Information flow control based on capability token validity for secure IoT: implementation and evaluation," Internet of Things, vol. 15, article no. 100423, 2021. https://doi.org/10.1016/j.iot.2021.100423