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Research on Control Strategy of Hybrid Energy Storage System with Optical Storage Microgrid

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Abstract

With the aim of improving the robustness of the hybrid energy storage system(HESS) and avoiding overcharging and reasonably managing state of charge (SOC), this paper proposed a HESS control strategy employing integral backstepping (IBS) method based on SOC. Firstly, on the basis of the hybrid energy storage control strategy of conventional filtering technology (FT), the current inner loop PI controller was changed into an controller employing IBS method to improve the robustness shown by the energy storage system (ESS) against system parameter perturbation or external disturbance. The current controller of the HESS employing inner loop integral backstepping method was designed and the Lyapunov stability was proven. Secondly, to avoid overcharging and over-discharging of the HESS and to reasonably manage SOC, an energy management strategy based on SOC was proposed to generate the current reference value of the inner loop controller employing integral backstepping method, and the energy management strategy based on SOC was designed as well. Finally, the simulation model of the HESS employing integrated backstepping method based on SOC was established, and the feasibility of this method was verified through simulation. It was shown by the results obtained from the simulation that the HESS control strategy employing integrated backstepping method based on SOC had greater anti-interference ability and improved the robustness of the system, in comparison with the control strategy of FT (PI) and FT (IBS) hybrid energy storage. In the meanwhile, the upper and lower limits of SOC of the ESS are supposed to be managed to avoid overcharging and over-discharging and to extend the life of the ESS.

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References

  1. Zhang YH, Du GP, Lei YX et al (2021) Current situation and prospect of control strategy for DC microgrid hybrid energy storage system. Power Syst Protect Control 49(03):177–187

    Google Scholar 

  2. Li XJ, Wang SH, Hui D (2017) Review and prospect of operation control and application methods of battery energy storage system. Power Grid Technol 41(10):3315–3325

    Google Scholar 

  3. Qiao LB, Zhang XH, Sun XZ (2022) Battery supercapacitor hybrid energy storage research progress of system. Energy Stor Sci Technol 11(01):98–106

    Google Scholar 

  4. Li J, Gee MA, Zhang M et al (2015) Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model. Energy 86(01):175–185

    Article  Google Scholar 

  5. Jia L, Hu ZC, Song YH (2017) Joint planning of distribution networks with distributed energy storage systems and electric vehicle charging stations. Proc CSEE 37(01):73–83

    Google Scholar 

  6. Cansiz A, Faydaci C, Qureshi MT et al (2018) Integration of a SMES-battery-based hybrid energy storage system into microgrids. J Supercond Novel Magn 31(5):1449–1457

    Article  Google Scholar 

  7. Yang B, Yu T, Shu HC et al (2018) Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine. Renew Energy 119:577–589

    Article  Google Scholar 

  8. Yang B, Zhong LE, Yu T et al (2019) PCSMC design of permanent magnetic synchronous generator for maximum power point tracking. IET Gener Transm Distrib 14(13):3115–3126

    Article  Google Scholar 

  9. Magdy G, Mohamed EA, Sha bib G et al (2018) SMES based a new PID controller for frequency stability of a real hybrid power system considering high wind power penetration. IET Renew Power Gener 12(11):1304–1313

    Article  Google Scholar 

  10. Bizon N (2018) Effective mitigation of the load pulses by controlling the battery/SMES hybrid energy storage system. Appl Energy 229(01):459–473

    Article  Google Scholar 

  11. Alafnan H, Zhang M, Yuan W et al (2018) Stability improvement of DC power systems in an all-electric ship using hybrid SMES/battery. IEEE Trans Appl Supercond 28(3):1–6

    Article  Google Scholar 

  12. Wu QF, Sun XF, Wang YN et al (2018) Based on distributed droop control SOC balance strategy of micro-grid distributed energy storage system. Trans China Electrotech Soc 33(6):1247–1256

    Google Scholar 

  13. Li JQ, Yang F, Robinson F et al (2017) Design and test of a new droop control algorithm for a SMES/battery hybrid energy storage system. Energy 1(18):1110–1122

    Article  Google Scholar 

  14. Li PQ, Duan KH, Dong YT et al (2017) Energy management strategy for photovoltaic DC microgrid with distributed hybrid energy storage system. Power Syst Protection Control 45(13):42–48

    Google Scholar 

  15. Chen YD, Tan WJ, Zhou XP et al (2019) An Autonomous-frequency-split Power Control Method for Hybrid Energy Storage System. J Hunan Univ 46(4):65–73

    Google Scholar 

  16. Sun LM, Yang B (2020) Nonlinear Robust Fractional-Order Control of Battery /SMES Hybrid Energy Storage Systems. Power System Protection and Control 48(22):76–83

    Google Scholar 

  17. Xie LR, Zheng H, Wei CW et al (2021) Coordinated control strategy of photovoltaic hybrid energy storage considering prediction error compensating and fluctuation suppression. Autom Electric Power Syst 45(03):130–138

    Google Scholar 

  18. Lei MY, Yang ZL, Wang YB et al (2016) Study on control technology of energy storage station in photovoltaic/ storage system. Trans China Electrotech Soc 31(23):86–92

    Google Scholar 

  19. Jia YB, Tian JJ, Ren CG et al (2020) Research on DC microgrid hess based on converter cascade structure. Acta Energiae Solaris Sinica 41(05):273–280

    Google Scholar 

  20. Liu ZB, Liu XJ (2018) Improved Multi-hysteresis Control Strategy of Hybrid Storage System in a Stand-alone DC Microgrid. Trans China Electrotech 33(03):490–497

    Google Scholar 

  21. Guo W, Zhao HS (2020) Coordinated control method of mul-tipple hybrid energy storage system in DC microgrid based on event triggered mechanism. Trans China Electrotechnics Soc 35(05):1140–1151

    Google Scholar 

  22. Hou SY, Yu HW, Li Q et al (2017) adaptive control strategy of hybrid energy storage in microgrid islanded operation state. Autom Electric Power Syst 41(17):15–21

    Google Scholar 

  23. Chen X, Shi M, Zhou J et al (2019) Distributed cooperative control of multiple hybrid energy storage systems in a DC microgrid using consensus protocol. IEEE Trans Industr Electron 67(3):1968–1979

    Article  Google Scholar 

  24. Zhou J Y, Yan L F, Liu J, et al. A Cooperative Control Strategy for DC Microgrid Based on Consensus Algorith. In Proceedings of the CSEE, 2018, 38(23), pp. 6837–6846

  25. Shan Y, Hu J, Guerrero JM (2019) A Model predictive power control method for PV and energy storage systems with voltage support capability. IEEE Trans Smart Grid 11(2):1018–1029

    Article  Google Scholar 

  26. Wu M, Li ZW, Sun LJ (2020) A model predictive overall control method for a hybrid energy storage converter. Power Syst Prot Control 48(21):84–91

    Google Scholar 

  27. Zheng ZX, Ni FY, Wang Y et al (2021) Operation Resilience enhancing strategy of DC microgrid based on model predictive controlled hybrid energy storage system. Electr Power Autom Equip 41(05):152–159

    Google Scholar 

  28. Zhang XZ, Lu ZY, Tan CZ et al (2021) Global sliding mode control of vehicle-mounted hybrid energy storage system based on exponential reaching law. Control and Decis 36(04):885–892

    Google Scholar 

  29. Kotra S, Mishra M (2017) A supervisory power management system for a hybrid microgrid with Hess. IEEE Trans Ind Electron 64(5):3640–3649

    Article  Google Scholar 

  30. Korad N, Mishra M (2017) Grid adaptive power management strategy for an integrated microgrid with hybrid energy storage. IEEE Trans Ind Electron 64(4):2884–2892

    Article  Google Scholar 

  31. Adak S (2021) Harmonics mitigation of stand-alone photovoltaic system using LC passive filter. J Electr Eng Technol 16:2389–2396

    Article  Google Scholar 

  32. Adak S, Cangi H, Eid B et al (2021) Developed analytical expression for current harmonic distortion of the PV system’s inverter in relation to the solar irradiance and temperature. Electr Eng Technol 103:697–704

    Article  Google Scholar 

  33. P K C, S K , R J N. Soft Switching Hybrid Resonant Boost Converter for Energy Harvesting Application. In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020, pp. 1416–1422

  34. Chandran P, Aravind G, Arjun R, Switched capacitor voltage converter for electric vehicles. 2021 In IEEE Mysore Sub Section International Conference (MysuruCon), 2021, pp. 805-810

  35. Adak S, Cangi H, Kaya R et al (2022) Effects of electric vehicles and charging stations on microgrid power quality. Gazi Univ J Sci Part A Eng Innov 9(3):276–286

    Article  Google Scholar 

  36. Zhang DL, Chen YC, Wang LZ (2021) Control strategy and optimal configuration of energy storage system for smoothing short-term fluctuation of PV power. Sustain Energy Technol Assess 45:101166

    Google Scholar 

  37. Zhang DL, Jiang SY, Liu JX et al (2022) Stochastic optimization operation of the integrated energy system based on a novel scenario generation method. Processes 10:330

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the State Grid Corporation of China Science and Technology Project (5400-202216167A-1-1ZN).

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China

    Zuo-Bin Zhu & Shu-Min Sun

  2. Department of New Energy, Power Research Institute of State Grid Shandong Electric Power Company, Jinan, China

    Zuo-Bin Zhu & Shu-Min Sun

  3. Department of Power Dispatching Center, Rizhao Power Supply Company of State Grid Shandong Electric Power Company, Rizhao, China

    Yue-Ming Ding

  4. Department of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, China

    Shao-Ping Huang

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  1. Zuo-Bin Zhu
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  2. Shu-Min Sun
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Zhu, ZB., Sun, SM., Ding, YM. et al. Research on Control Strategy of Hybrid Energy Storage System with Optical Storage Microgrid. J. Electr. Eng. Technol. 18, 2835–2845 (2023). https://doi.org/10.1007/s42835-022-01367-x

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  • DOI: https://doi.org/10.1007/s42835-022-01367-x

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