DOI QR코드

DOI QR Code

State‑of‑charge adaptive balancing strategy for distributed energy storage units with line impedance compensation

  • Wei Fang (School of Electrical & Information Engineering, Anhui University of Technology) ;
  • Mi Zhou (School of Electrical & Information Engineering, Anhui University of Technology) ;
  • Leiyu Wang (School of Electrical & Information Engineering, Anhui University of Technology) ;
  • Qingping Shi (School of Electrical & Information Engineering, Anhui University of Technology) ;
  • Xiaodong Liu (School of Electrical & Information Engineering, Anhui University of Technology) ;
  • Qianjin Zhang (School of Electrical & Information Engineering, Anhui University of Technology)
  • Received : 2024.11.14
  • Accepted : 2025.03.17
  • Published : 2025.11.20

Abstract

The charge/discharge of distributed energy storage units (ESU) is adopted in a DC microgrid to eliminate unbalanced power, which is caused by the random output of distributed energy and load fluctuation. However, the difference of line impedance causes diversity in the state-of-charge (SoC) between ESUs, which can lead to overcharging or overdischarging. Thus, this study proposed an adaptive SoC balancing strategy under weak communication by associating the droop coefficient, the output current, and the SoC of ESU. The integral of the local output current was introduced in the iteration of the line impedance compensation, while the local iteration signal was updated synchronously. With low bandwidth communication, the consistency algorithm considered the iteration signal of neighboring ESUs and was used to judge the finished compensation. Moreover, the compensated line impedance and the SoC were introduced into the adaptive droop law. Hence, the current sharing and SoC balancing of ESUs were guaranteed. The convergence proof of the iteration and the stability of the control system were presented in detail. Finally, an experimental prototype with several ESUs was built to verify the feasibility and effectiveness of the proposed strategy.

Keywords

Acknowledgement

This work was supported in part by the National Natural Science Foundation of China (52277169). The authors also wish to thank the Key Lab of Power Electronics & Motion Control Anhui University of Technology for their support.

References

  1. Sahoo, S.K., Sinha, A.K., Kishore, N.K.: Control techniques in AC, DC, and hybrid AC-DC Microgrid: A review. IEEE J. Emerg. Sel. Top. Power Electron. 6(2), 738-759 (2018)
  2. Nejabatkhah, F., Li, Y.W.: Overview of power management strategies of hybrid AC/DC microgrid. IEEE Trans. Power Electron. 30(12), 7072-7089 (2015)
  3. Guo, F., Wang, L., Wen, C., Zhang, D., Xu, Q.: Distributed voltage restoration and current sharing control in Islanded DC microgrid systems without continuous communication. IEEE Trans. Industr. Electron. 67(4), 3043-3053 (2020)
  4. Vuyyuru, U., Maiti, S., Chakraborty, C., Pal, B.C.: A series voltage regulator for the Radial DC microgrid. IEEE Trans. on Sustain. Energy. 10(1), 127-136 (2019)
  5. Yehia, D.M., Numair, M., Mansour, D.-E.A.: Novel IoT-based droop control for battery SoC balancing among multiple microgrids. IEEE Trans. Smart Grid 15(2), 1304-1316 (2024)
  6. Zhang, M., Xu, Q., Zhang, C., Nordström, L., Blaabjerg, F.: Decentralized coordination and stabilization of hybrid energy storage systems in DC microgrids. IEEE Trans. Smart Grid. 13(3), 1751-1761 (2022)
  7. Wu, H., Chai, L., Zhu, Z.-H., Tian, Y.-C.: Prescribed-time control for DC microgrids with battery energy storage systems. IEEE Trans. Industr. Inf. 20(10), 11896-11907 (2024)
  8. Lu, X., Sun, K., Guerrero, J.M., Vasquez, J.C., Huang, L.: Double-quadrant state-of-charge-based droop control method for distributed energy storage systems in autonomous DC microgrids. IEEE Trans. Smart Grid. 6(1), 147-157 (2015)
  9. Qi, N., Fang, W., Wang, W., Liu, X., Liu, S.: SoC balancing method for energy storage systems in DC microgrids using simplified droop control. J. Power Electron. 21, 1200-1212 (2021)
  10. Zhi, N., Ding, K., Du, L., Zhang, H.: An SOC-based virtual DC machine control for distributed storage systems in DC microgrids. IEEE Trans. Energy Convers. 35(3), 1411-1420 (2020)
  11. Mi, Y., Deng, J., Wang, X., Lin, S., Su, X., Fu, Y.: Multiagent distributed secondary control for energy storage systems with lossy communication networks in DC microgrid. IEEE Trans. Smart Grid. 14(3), 1736-1749 (2023)
  12. Xiong, Z., Luo, B., Wang, B.-C., Xu, X., Liu, X., Huang, T.: Decentralized multiagent reinforcement learning based state-of-charge balancing strategy for distributed energy storage system. IEEE Trans. Industr. Inf. 20(10), 12450-12460 (2024)
  13. Liu, C., Zhao, J., Wang, S., Lu, W., Qu, K.: Active identification method for line resistance in DC microgrid based on single pulse injection. IEEE Trans. Power Electron. 33(7), 5561-5564 (2018)
  14. Mohammed, N., Lashab, A., Ciobotaru, M., Guerrero, J.M.: Accurate reactive power sharing strategy for droop-based Islanded AC microgrids. IEEE Trans. Industr. Electron. 70(3), 2696-2707 (2023)
  15. Mi, Y., Guo, J., Fu, Y., Wang, C., Wang, P.: Accurate power allocation of multienergy storage Island DC microgrid based on virtual power rating. IEEE Trans. Power Electron. 38(1), 261-270 (2023)
  16. Zhang, Q., Zeng, Y., Liu, Y., Zhuang, X., Zhang, H., Hu, W.: An improved distributed cooperative control strategy for multiple energy storages parallel in Islanded DC microgrid. IEEE J. Emerg. Sel. Top. Power Electron. 10(1), 455-468 (2022)
  17. An, R., Liu, Z., Liu, J.: Successive-approximation-based virtual impedance tuning method for accurate reactive power sharing in Islanded microgrids[J]. IEEE Trans. Power Electron. 36(1), 87-102 (2021)
  18. Guo, Y., Ye, G., Zhao, D., Liu, W.: Some integral inequalities for Log-h-Convex interval-valued functions. IEEE Access. 7, 86739-86745 (2019)