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State of Charge Balancing for Distributed Battery Units Based on Adaptive Virtual Power Rating in a DC Microgrid

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Abstract

This paper proposes an adaptive virtual power rating method for state of charge (SoC) balancing among distributed battery units (BUs) in a DC microgrid. The virtual power rating is flexibly determined according to the SoC to obtain the droop gain of BU, and the balanced SoC is achieved by means of the modified droop controller. Because an accurate power sharing among BUs is satisfied by using only virtual power rating, SoC balancing performance is consistently ensured regardless of the line resistance difference. Moreover, the voltage restoration to keep the grid voltage at a desired value is easily realized without PI controller, and the proposed control strategy is implemented based on the distributed control method with simple low-bandwidth communication. The system stability is investigated, and the performance of the control method is demonstrated through both simulations and experiments.

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References

  1. Natori K, Tanaka T, Takahashi Y, Sato Y (2017) A study on high-efficiency floating multi-terminal power flow controller for next-generation DC power networks. In: 2017 IEEE energy conversion congress and exposition (ECCE), pp 2631–2637

  2. Hu J, Duan J, Ma H, Chow MY (2017) Distributed adaptive droop control for optimal power dispatch in DC-microgrid. IEEE Trans Ind Electron 99:1

    Google Scholar 

  3. Sanjeev P, Padhy NP, Agarwal P (2017) Autonomous power control and management between standalone DC microgrids. IEEE Trans Ind Inform 99:1

    Google Scholar 

  4. Chen F et al (2017) Cost-based droop schemes for economic dispatch in islanded microgrids. IEEE Trans Smart Grid 8(1):63–74

    Article  Google Scholar 

  5. Hoang KD, Lee D, Lee H (2018) Accurate current sharing and PCC voltage restoration in LVDC microgrid without communication network. In: 2018 IEEE energy conversion congress and exposition (ECCE), pp 2067–2072

  6. Dam D, Lee H (2018) A power distributed control method for proportional load power sharing and bus voltage restoration in a DC microgrid. IEEE Trans Ind Appl 54(4):3616–3625

    Article  Google Scholar 

  7. Morstyn T, Hredzak B, Agelidis VG (2016) Cooperative multi-agent control of heterogeneous storage devices distributed in a DC microgrid. IEEE Trans Power Syst 31(4):2974–2986

    Article  Google Scholar 

  8. Dragicevic T, Guerrero JM, Vasquez JC, Škrlec D (2014) Supervisory control of an adaptive-droop regulated DC microgrid with battery management capability. IEEE Trans Power Electron 29(2):695–706

    Article  Google Scholar 

  9. Yang Q, Jiang L, Zhao H, Zeng H (2017) Autonomous voltage regulation and current sharing in islanded multi-inverter DC microgrid. IEEE Trans Smart Grid 99:1

    Google Scholar 

  10. Li C, Dragicevic T, Diaz NL, Vasquez JC, Guerrero JM (2014) Voltage scheduling droop control for State-of-Charge balance of distributed energy storage in DC microgrids. In: 2014 IEEE international energy conference (ENERGYCON), pp 1310–1314

  11. Shahbazi M, Kazemtabrizi B, Dent C (2016) Coordinated control of DC voltage magnitudes and state of charges in a cluster of DC microgrids. In: 2016 IEEE PES innovative smart grid technologies conference Europe (ISGT-Europe), pp 1–5

  12. Xia Y, Yu M, Yang P, Peng Y, Wei W (2019) Generation-storage coordination for islanded DC microgrids dominated by PV generators. IEEE Trans Energy Convers 34(1):130–138

    Article  Google Scholar 

  13. Morstyn T, Savkin AV, Hredzak B, Agelidis VG (2018) Multi-agent sliding mode control for state of charge balancing between battery energy storage systems distributed in a DC microgrid. IEEE Trans Smart Grid 9(5):4735–4743

    Article  Google Scholar 

  14. Diaz NL, Dragicevic T, Vasquez JC, Guerrero JM (2014) Intelligent distributed generation and storage units for DC microgrids—a new concept on cooperative control without communications beyond droop control. IEEE Trans Smart Grid 5(5):2476–2485

    Article  Google Scholar 

  15. Lu X, Sun K, Guerrero JM, Vasquez JC, Huang L (2014) State-of-charge balance using adaptive droop control for distributed energy storage systems in DC microgrid applications. IEEE Trans Ind Electron 61(6):2804–2815

    Article  Google Scholar 

  16. Lu X, Sun K, Guerrero JM, Vasquez JC, Huang L (2015) 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

    Article  Google Scholar 

  17. Shafiee Q, Dragičević T, Vasquez JC, Guerrero JM (2014) Hierarchical control for multiple DC-microgrids clusters. IEEE Trans Energy Convers 29(4):922–933

    Article  Google Scholar 

  18. Meng L et al (2017) Review on control of DC microgrids and multiple microgrid clusters. IEEE J Emerg Sel Top Power Electron 5(3):928–948

    Google Scholar 

  19. Hoang KD, Lee H (2019) Accurate power sharing with balanced battery state of charge in distributed DC microgrid. IEEE Trans Ind Electron 66(3):1883–1893

    Article  Google Scholar 

  20. Tah A, Das D (2016) An enhanced droop control method for accurate load sharing and voltage improvement of isolated and interconnected DC microgrids. IEEE Trans Sustain Energy 7(3):1194–1204

    Article  Google Scholar 

  21. Barcellona S, Brenna M, Foiadelli F, Longo M, Piegari L (2015) Analysis of ageing effect on Li-polymer batteries. Sci World J 2015:979321

    Article  Google Scholar 

  22. Johnson BK, Lasseter RH, Alvarado FL, Adapa R (1993) Expandable multiterminal DC systems based on voltage droop. IEEE Trans Power Deliv 8(4):1926–1932

    Article  Google Scholar 

  23. Nasir M, Jin Z, Khan HA, Zaffar NA, Vasquez JC, Guerrero JM (2019) A Decentralized control architecture applied to DC nanogrid clusters for rural electrification in developing regions. IEEE Trans Power Electron 34(2):1773–1785

    Article  Google Scholar 

  24. Peyghami S, Mokhtari H, Loh PC, Davari P, Blaabjerg F (2016) Distributed primary and secondary power sharing in a droop-controlled LVDC microgrid with merged AC and DC characteristics. IEEE Trans Smart Grid 99:1

    Google Scholar 

  25. Anand S, Fernandes BG, Guerrero J (2013) Distributed control to ensure proportional load sharing and improve voltage regulation in low-voltage DC microgrids. IEEE Trans Power Electron 28(4):1900–1913

    Article  Google Scholar 

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Acknowledgements

This work was supported in part by the National Research Foundation of Korea Grant funded by the Korean Government under Grant NRF-2018R1D1A1A09081779 and in part by the Korea Institute of Energy Technology Evaluation and Planning and the Ministry of Trade, Industry and Energy under Grant No. 20194030202310

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Correspondence to Hong-Hee Lee.

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Hoang, K.D., Lee, HH. State of Charge Balancing for Distributed Battery Units Based on Adaptive Virtual Power Rating in a DC Microgrid. J. Electr. Eng. Technol. 15, 2121–2131 (2020). https://doi.org/10.1007/s42835-020-00482-x

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  • DOI: https://doi.org/10.1007/s42835-020-00482-x

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